My research interests are towards Intelligent Geocomputation for Watershed Analysis and Simulation, which include the development of new intelligent geographical modeling methods, geographical analysis algorithms, and high-performance geocomputation implementation for application domains such as digital terrain analysis, digital soil mapping, integrated watershed simulation and watershed Beneficial Management Practices (BMPs) scenario optimization.

Call for PhD student applicants (Intelligent geographical modeling for watershed analysis, simulation, and decision-making support). 

> Sept. 2000 – Jan. 2004, PhD-student in the State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences. Subject: Geo-visualization analysis
> Sept. 1997 – Aug. 2000, Master student in Lanzhou Institute of Geology, Chinese Academy of Sciences. Subject: Computer application, and Mathematical modeling
> Sept. 1993 – July 1997, Bachelor student in Department of Computer Science and Technology, Southeast University. Major: Computer application. Minor: Mathematical modeling.

> Oct. 2014 till now, Professor in State Key Laboratory of Resources & Environmental Information System, Institute of Geographical Sciences & Natural Resources Research, Chinese Academy of Science
> Sept. 2006 - Oct. 2014, Associate Professor in State Key Laboratory of Resources & Environmental Information System, Institute of Geographical Sciences & Natural Resources Research, Chinese Academy of Science
> Apr. 2004 - Sept. 2006, Post-Doctor in the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences. Subject: Digital terrain analysis 
> Aug. 2001 –Sept. 2001, Research Assistant, Department of Geography, Chinese University of Hong Kong. Subject: Spatial data mining

"Best Paper Award" of Geomorphometry'2013
2011 CAS LU Jiaxi Young Talent Award

   

   As first author and/or corresponding author, published 60+ peer-reviewed papers (including 40+ SCI/SSCI-indexed papers). As co-author, published about 100 peer-reviewed papers (including 40+ SCI-indexed papers). These papers are published on journals such as AAAG, IJGIS, Geomorphology, Geoderma, Transactions in GIS, Computers & Geosciences, Soil Science Society of America Journal, Ecological Indicators, Hydrological Processes, PE&RS, and so on. Participate in writing 2 books.
SCI citation: 2000+; SCI h-index=30; Google scholar citation: 4000+

Incomplete list of peer-reviewed international journal papers:

[Research topic]: Digital terrain analysis, Spatial prediction (digital soil mapping, landslide susceptibility assessment, habitat suitability mapping), Scenario analysis based on Watershed simulation, Intelligent geographical modeling, Parallel geocomputation

[Spatial prediction]> Zhao F-H, An Y-M, Qin C-Z*, Zhu A-X, Yang L, Qi F. Digital soil mapping based on the similarity of geographic environment over spatial neighborhoods. International Journal of Digital Earth, 2025, 18(1): 2471507. (SCI)

[Intelligent geographical modeling] > Chen Z-Y, Qin C-Z*, Zhu L-J, Wu C-L, Ren Y-C, Zhu A-X. Intelligent determination of proper spatial extents of input data during geographical model workflow building. Environmental Modelling & Software, 2025. https://doi.org/10.1016/j.envsoft.2025.106369 (SCI)

[Spatial prediction]> Zhao F-H, Qin C-Z, Zhu A-X*, Pei T. A multivariate spatial structure indicator based on geographic similarity. International Journal of Geographical Information Science, 2025. https://doi.org/10.1080/13658816.2025.2458639  (SCI)

[Spatial prediction]> Zhao F-H, Zhu A-X, Qin C-Z*. Spatial distribution pattern analysis using variograms over geographic and feature space. Geo-spatial Information Science, 2024. https://doi.org/10.1080/10095020.2024.2439371 (SCI)

[Spatial prediction][Parallel geocomputation] > Zhao F, Zhu A-X*, Zhu L-J, Qin C-Z. iSoLIM: a similarity-based spatial prediction software for the big data era. Annals of GIS, 2024, 30(4): 535-549. doi: 10.1080/19475683.2024.2324381 (ESCI)

[Intelligent geographical modeling] > Hou Z W, Jing W*, Qin C Z, Yang J, Xia Q, Yin X. Prospects on mangrove knowledge services in the smart era: From plant atlas to knowledge graphs. Science China Earth Sciences, 2024, 67. (SCI)

[Digital terrain analysis] > Jia T, Fu P*, Qin C-Z. Applicability of the longitudinal profile–based cirque classification—A test with large cirque datasets in the southeastern Tibetan Plateau. Earth Surface Processes and Landforms, 2024, 49(14): 4709-4723. (SCI)

[Intelligent geographical modeling][Spatial prediction] > Wang Y-J, Qin C-Z*, Liang P, Zhu L-J, Chen Z-Y, Wu C-L, Zhu A-X. A case-based reasoning strategy of integrating case-level and covariate-level reasoning to automatically select covariates for spatial prediction. Annals of GIS, 2024, 30(2): 199-214. doi:10.1080/19475683.2024.2324398. (SCI)

[Spatial prediction] > Liang P, Qin C-Z*, Zhu A-X. Using Automated Machine Learning for Spatial Prediction—The Heshan Soil Subgroups Case Study. Land, 2024, 13(4), 551. (SCI)

[Spatial prediction] > Fan X, Fan N, Qin C-Z*, Zhao F-H, Zhu L-J, Zhu A-X. Large-area soil mapping based on environmental similarity with adaptive consideration of spatial distance to samples. Geoderma, 2023, 439, 116683. (SCI)

[Scenario analysis based on Watershed simulation] > Shen S, Qin C-Z, Zhu L-J*, Zhu A-X. From scenario to roadmap: Design and evaluation of a web-based participatory watershed planning system for optimizing multistage implementation plans of management practices under stepwise investment. Journal of Environmental Management, 2023, 342, 118280. (SCI)

[Scenario analysis based on Watershed simulation] > Shen S, Qin C-Z, Zhu L-J*, Zhu A-X. Optimizing implementation orders of watershed best management practices with time-varying effectiveness under stepwise investment. Water Resources Research, 2023, e2022WR032986. (SCI)

[Scenario analysis based on Watershed simulation] > Wu T, Zhu L-J*, Shen S, Zhu A-X, Shi M, Qin C-Z. Identification of watershed priority management areas based on landscape positions: An implementation using SWAT+. Journal of Hydrology, 2023, 619, 129281. (SCI)

[Spatial prediction] > Yan Y, Yang J, Li B, Qin C, Ji W*, Xu Y, Huang Y. High-resolution mapping of soil organic matter at the field scale using UAV hyperspectral images with a small calibration dataset. Remote Sensing, 2023, 15(5), 1433. (SCI)

[Spatial prediction] > Fan N-Q, Zhao F-H, Zhu L-J, Qin C-Z*, Zhu A-X. Digital soil mapping with adaptive consideration of the applicability of environmental covariates over large areas. International Journal of Applied Earth Observation and Geoinformation, 2022, 113, 102986. (SCI)

[Parallel geocomputation] > Wang Y-J, Ai B-B, Qin C-Z*, Zhu A-X. A load-balancing strategy of data domain decomposition for parallel programming libraries of raster-based geocomputation. International Journal of Geographical Information Science, 2022, 36(5): 968-991. doi: 10.1080/13658816.2021.2004603. (SCI)

[Digital terrain analysis] > Wang Y-W, Qin C-Z*, Cheng W-M, Zhu A-X, Wang Yu-Jing, Zhu L-J. Automatic crater detection by training random forest classifiers with legacy crater map and spatial structural information derived from digital terrain analysis. Annals of the American Association of Geographers, 2022, 112(5): 1328-1349. (SSCI)

[Spatial prediction] > Zhao C, Qin C-Z, Wang Z, Mao D, Wang Y, Jia M*. Decision surface optimization in mapping exotic mangrove species (Sonneratia apetala) across latitudinal coastal areas of China. ISPRS Journal of Photogrammetry and Remote Sensing, 2022, 193: 269–283. (SCI)

[Spatial prediction] > Zhao C, Qin C-Z*. A detailed mangrove map of China for 2019 derived from Sentinel-1 and -2 images and Google Earth images. Geoscience Data Journal, 2022, 9(1): 74-88. doi: 10.1002/gdj3.119. (SCI; citation: 10+; Top Cited Article 2021-2022 in "GEOSCIENCE DATA JOURNAL")

[Spatial prediction] > Xia Q, He T-T*, Qin C-Z, Xing X-M, Xiao W. An Improved Submerged Mangrove Recognition Index-Based Method for Mapping Mangrove Forests by Removing the Disturbance of Tidal Dynamics and S. alterniflora. Remote Sensing, 2022, 14(13), 3112. (SCI)

[Spatial prediction] > Zhao C, Qin C-Z*. Identifying large-area mangrove distribution based on remote sensing: A binary classification approach considering subclasses of non-mangroves. International Journal of Applied Earth Observation and Geoinformation, 2022, 108, 102750. (SCI)

> Pei T, Xu J, Liu Y, Huang X, Zhang L, Dong W, Qin C, Song C, Gong J, Zhou C. GIScience and remote sensing in natural resource and environmental research: status quo and future perspectives. Geography and Sustainability, 2021, 2(3): 207-215. 

[Intelligent geographical modeling][Spatial prediction] > Liang P, Qin C-Z*, Zhu A-X. Comparison on two case-based reasoning strategies of automatically selecting terrain covariates for digital soil mapping. Transactions in GIS, 2021, 25(5): 2419-2437. (SSCI)

[Intelligent geographical modeling] > Hou Z-W, Qin C-Z*, Zhu A-X, Wang Y-J, Liang P, Wang Y-J, Zhu Y. Formalizing parameter constraints to support intelligent geo-processing: A SHACL-based method. ISPRS International Journal of Geo-Information, 2021, 10(9), 605. (SCI)

[Scenario analysis based on Watershed simulation] > Zhu L-J, Qin C-Z*, Zhu A-X. Spatial optimization of watershed best management practice scenarios based on boundary-adaptive configuration units. Progress in Physical Geography: Earth and Environment, 2021, 45(2): 207-227. (SCI)

[Intelligent geographical modeling] > Zhu A-X, Zhao F-H, Liang P, Qin C-Z. Next generation of GIS: must be easy. Annals of GIS, 2021, 27(1): 71-86. (ESCI; 1st of "Best Paper Award" of Annals of GIS in 2021)

[Watershed simulation] > Liu J-Z, Liu Z, Yin Y, Croke B F, Chen M, Qin C-Z, Tang G, Zhu A-X. A hybrid vector-raster approach to drainage network construction in agricultural watersheds with rice terraces and ponds. Journal of Hydrology, 2021, 601, 126585. (SCI)

[Spatial prediction] > John K, Agyeman P C, Kebonye N M, Isong I A, Ayito E O, Ofem K I, Qin C-Z. Hybridization of CoKriging and Gaussian process regression modelling techniques in mapping soil sulphur. Catena, 2021, 206: 105534. (SCI)

[Spatial prediction] > Qin C-Z, An Y-M, Liang P, Zhu A-X*, Yang L. Soil property mapping by combining spatial distance information into Soil Land Inference Model (SoLIM). Pedosphere, 2021, 31(4): 638-644.  (SCI; citation: 10+)

[Spatial prediction] > Zhao C, Qin C-Z*. The key reason of false positive misclassification for accurate large-area mangrove classifications. Remote Sensing, 2021, 13(15), 2909. (SCI)

[Spatial prediction] > Zhao C, Qin C-Z*. 10-m-resolution mangrove maps of China derived from multi-source and multi-temporal satellite observations. ISPRS Journal of Photogrammetry and Remote Sensing, 2020, 169: 389-405.  (SCI; citation: 40+) Dataset released: (1) Zhao C, Qin C-Z*. A fine resolution mangrove map of China for 2019 derived from 10-m-resolution satellite observations and Google Earth images. V1. Science Data Bank. http://www.dx.doi.org/10.11922/sciencedb.00245. (2) Zhao C, Qin C*. A sample dataset of coastal land cover including mangroves in southern China. V2. Science Data Bank. http://www.dx.doi.org/10.11922/sciencedb.00279.

[Intelligent geographical modeling][Spatial prediction] > Liang P, Qin C-Z*, Zhu A-X, Zhu T-X, Hou Z-W, Fan N-Q, Wang Y-J. Using the most similar case method to automatically select environmental covariates for predictive mapping. Earth Science Informatics, 2020, 13(3), 719-728. (SCI)

[Intelligent geographical modeling][Spatial prediction] > Liang P, Qin C-Z*, Zhu A-X, Hou Z-W, Fan N-Q, Wang Y-J. A case-based method of selecting covariates for digital soil mapping. Journal of Integrative Agriculture, 2020, 19(8): 2127-2136. (SCI; citation: 20+) 

[Watershed simulation] > Jiang J, Qin C-Z, Yu J, Cheng C*, Liu J, Huang J. Obtaining urban waterlogging depths from video images using synthetic image data. Remote Sensing, 2020, 12, 1014. (SCI) http://www.easygeoc.net:8090/ihmcs/main.jsp

[Spatial prediction] > Xia Q, Qin C-Z*, Li H, Huang C, Su F-Z, Jia M-M. Evaluation of submerged mangrove recognition index using multi-tidal remote sensing data. Ecological Indicators, 2020, 113, 106196. (SCI; citation: 10+) 

[Spatial prediction] > Ma T-W, Wei T-F, Qin C-Z*, Zhu A-X*, Qi F, Liu J, Zhao F-H, Pan H. In-situ recommendation of alternative soil samples during field sampling based on environmental similarity. Earth Science Informatics, 2020, 13(1): 39-53. (SCI)

[Spatial prediction] > Fan N-Q, Zhu A-X, Qin C-Z*, Liang P. Digital soil mapping over large areas with invalid environmental covariate data. ISPRS International Journal of Geo-Information, 2020, 9, 102. (SCI)

[Spatial prediction] > Zhao C, Qin C-Z*, Teng J. Mapping large-area tidal flats without the dependence on tidal elevations: A case study of Southern China. ISPRS Journal of Photogrammetry and Remote Sensing, 2020, 159: 256-270. (SCI; citation: 30+; Dataset in ScienceDataBank)

[Watershed simulation][Parallel geocomputation] > Zhu L-J, Liu J-Z*, Qin C-Z*, Zhu A-X. A modular and parallelized watershed modeling framework. Environmental Modelling & Software, 2019, 122, 104526. (SCI; citation: 20+) (SEIMS open source@github)

[Intelligent geographical modeling][Watershed simulation] > Hou Z-W, Qin C-Z*, Zhu A-X, Liang P, Wang Y-J, Zhu Y-Q. From manual to intelligent: A review of input data preparation methods for geographic modeling. ISPRS International Journal of Geo-Information, 2019, 8(9), 376. (SCI)

[Intelligent geographical modeling][Watershed simulation] > Jiang J-C, Zhu A-X, Qin C-Z*, Liu J-Z. A knowledge-based method for automatic construction of hydrological model structures. Journal of Hydroinformatics, 2019, 21(6): 1163-1178. (SCI)

[Digital terrain analysis] > Wang Y-J, Qin C-Z*, Zhu A-X. Review on algorithms of dealing with depressions in grid DEMs. Annals of GIS, 2019, 25(2): 83-97. doi: 10.1080/19475683.2019.1604571. (ESCI; citation: 20+)

[Spatial prediction] > Zhao F-H, Qin C-Z*, Wei T-F, Ma T-W, Qi F, Liu J-Z, Zhu A-X. Dynamic recommendation of substitute locations for inaccessible soil samples during field sampling campaign. ISPRS International Journal of Geo-Information, 2019, 8(3), 127. (SCI)

[Scenario analysis based on Watershed simulation] > Zhu L-J, Qin C-Z*, Zhu A-X, Liu J-Z, Wu H. Effects of different spatial configuration units for spatial optimization of watershed beneficial management practices scenarios. Water, 2019, 11(2), 262. doi:10.3390/w11020262. (SCI)

[Spatial prediction] > Zhu A-X, Lv G, Liu J, Qin C-Z, Zhou C. Spatial prediction based on Third Law of Geography. Annals of GIS, 2018, 24(4): 225-240. doi: 10.1080/19475683.2018.1534890. (ESCI; Annals of GIS's“The Most Cited Paper 2018”Award; citation: 100+)

[Spatial prediction] > Cheng W, Zhu A-X*, Qin C-Z, Qi F. Updating conventional soil maps by mining soil–environment relationships from individual soil polygons. Journal of Integrative Agriculture, 2019, 18(2): 265-278. doi: 10.1016/S2095-3119(18)61938-0. (SCI)

[Spatial prediction] > Yang L, Song M, Zhu A-X, Qin C-Z, Zhou C, Qi F, Li X, Chen Z, Gao B. Predicting soil organic carbon content in croplands using crop rotation and Fourier transform decomposed variables. Geoderma, 2019, 340: 289-302. (SCI)

[Watershed simulation] > Jiang J, Liu J*, Qin C-Z, Wang D. Extraction of urban waterlogging depth from video images using transfer learning. Water, 2018, 10(10), 1485. Doi: 10.3390/w10101485. (SCI)

[Scenario analysis based on Watershed simulation] > Qin C-Z, Gao H-R, Zhu L-J*, Zhu A-X, Liu J-Z, Wu H. Spatial optimization of watershed best management practices based on slope position units. Journal of Soil and Water Conservation, 2018, 73(5): 504-517. (SCI; citation: 10+)

[Spatial prediction] > Xia Q, Qin C-Z*, Li H, Huang C, Su F-Z. Mapping mangrove forests based on multi-tidal high-resolution satellite imagery. Remote Sensing, 2018, 10(9), 1343. doi:10.3390/rs10081343. (SCI; citation: 30+; "Landsat Science"'s Report on others' application of SMRI proposed by us in this paper)

[Spatial prediction] > Zhang G, Zhu A-X*, Windels S K, Qin C-Z. Modelling species habitat suitability from presence-only data using kernel density estimation. Ecological Indicators, 2018, 93: 387-396. (SCI)

[Spatial prediction] > Shi J, Yang L*, Zhu A-X, Qin C-Z, Liang P, Zeng C, Pei T. Machine-learning variables at different scales vs. knowledge-based variables for mapping multiple soil properties. Soil Science Society of America Journal, 2018, 82: 645-656. doi:10.2136/sssaj2017.11.0392. (SCI)

[Spatial prediction] > Zhu A-X, Miao Y, Wang R, Zhu T, Deng Y, Liu J, Yang L, Qin C-Z, Hong H. A comparative study of an expert knowledge-based model and two data-driven models for landslide susceptibility mapping. Catena, 2018, 166: 317-327. (SCI; citation: 30+)

[Digital terrain analysis][Parallel geocomputation] > Zhu L-J, Zhu A-X, Qin C-Z*, Liu J-Z. Automatic approach to deriving fuzzy slope positions. Geomorphology, 2018, 304: 173-183. doi: 10.1016/j.geomorph.2017.12.024. (SCI; program download)

[Digital terrain analysis][Parallel geocomputation] > Ai B-B, Qin C-Z*, Ye Q-H, Zhu A-X, Cogley G. An approach to extracting the surface supply relationships between glaciers and lakes on the Tibetan Plateau. International Journal of Digital Earth, 2018, 11(11): 1151-1165. doi: 10.1080/17538947.2017.1374475. (SCI; 50 free eprints)

[Spatial prediction] >Zhang G, Zhu A-X, Huang Z-P, Ren G, Qin C-Z, Xiao W. Validity of historical volunteered geographic information: Evaluating citizen data for mapping historical geographic phenomena. Transactions in GIS, 2018, 22(1): 149-164.  (SSCI)

[Spatial prediction] > An Y, Yang L*, Zhu A-X, Qin C-Z, Shi J. Identification of representative samples from existing samples for digital soil mapping. Geoderma, 2018, 311: 109-119. doi: 10.1016/j.geoderma.2017.03.014.  (SCI; citation: 10+)

[Digital terrain analysis][Parallel geocomputation] > Qin C-Z, Ai B-B, Zhu A-X, Liu J-Z. An efficient method for applying a differential equation to deriving the spatial distribution of specific catchment area from gridded digital elevation models. Computers & Geosciences, 2017, 100: 94-102. doi: 10.1016/j.cageo.2016.12.009. (SCI; citation: 10+)

> Xue X, Han H, Wang S, Qin C-Z. Computational experiment-based evaluation on O2O service recommendation strategies. IEEE Transactions on Services Computing, 2019, doi: 10.1109/TSC.2016.2638083. (SCI; citation: 10+)

[Intelligent geographical modeling][Digital terrain analysis] > Qin C-Z, Wu X-W, Jiang J-C, Zhu A-X. Case-based knowledge formalization and reasoning method for digital terrain analysis - application to extracting drainage networks. Hydrology and Earth System Sciences, 2016, 20: 3379-3392. (SCI; citation: 10+)

[Spatial prediction] > Zeng C, Yang L*, Zhu A-X, Rossiter D G, Liu J, Liu J-Z, Qin C-Z, Wang D. Mapping soil organic matter concentration at different scales using a mixed geographically weighted regression method. Geoderma, 2016, 281: 69-82. (SCI; citation: 50+)

[Watershed simulation][Parallel geocomputation] > Liu J-Z, Zhu A-X*, Qin C-Z*, Wu H, Jiang J-C. A two-level parallelization method for distributed hydrological models. Environmental Modelling & Software, 2016, 80: 175-184. (SCI; citation: 20+)

[Spatial prediction] > Zhang S-J, Zhu A-X*, Liu J, Yang L, Qin C-Z, An Y-M. A heuristic uncertainty directed field sampling design for digital soil mapping. Geoderma, 2016, 267: 123-136. (SCI; citation: 10+)

[Spatial prediction] > Jiang J-C, Zhu A-X*, Qin C-Z, Zhu T, Liu J-Z, Du F, Liu J, Zhang G-M, An Y-M. CyberSoLIM: A cyber platform for digital soil mapping. Geoderma, 2016, 263: 234-243. doi:10.1016/j.geoderma.2015.04.018. (SCI)

[Spatial prediction] > Zhu A-X, Zhang G-M, Wang W, Xiao W, Huang Z-P, Ge-Sang D, Ren G-P, Qin C-Z, Yang L, Pei T, Yang S. A citizen data-based approach to predictive mapping of spatial variation of natural phenomena. International Journal of Geographical Information Science, 2015, 29(10): 1864-1886.  (SCI; citation: 20+)

[Spatial prediction] > Zhu A-X, Liu J*, Du F, Zhang S, Qin C-Z, Burt J, Behrens T, Scholten T. Predictive soil mapping with limited sample data. European Journal of Soil Science, 2015, 66: 535-547. (SCI; citation: 40+)

[Parallel geocomputation] > Qin C-Z, Zhan L-J, Zhu A-X, Zhou C-H. A strategy for raster-based geocomputation under different parallel computing platforms. International Journal of Geographical Information Science, 2014, 28(11): 2127-2144. (SCI; 50 free eprints; citation: 30+)

[Parallel geocomputation] > Qin C-Z, Zhan L-J, Zhu A-X. How to apply the Geospatial Data Abstraction Library (GDAL) properly to parallel geospatial raster I/O? Transactions in GIS, 2014, 18(6): 950-957. (SSCI; citation: 30+)

[Spatial prediction] > Zhu A-X, Wang R, Qiao J, Qin C-Z, Chen Y, Liu J, Du F, Yang L, Zhu T. An expert knowledge-based approach to landslide susceptibility mapping using GIS and fuzzy logic. Geomorphology, 2014, 214: 128-138. (SCI; citation: 100+)

[Watershed simulation][Parallel geocomputation] > Liu J-Z, Zhu A-X, Liu Y-B, Zhu T-X, Qin C-Z. A layered approach to parallel computing for spatially distributed hydrologic modeling. Environmental Modelling & Software, 2014, 51: 221-227.  (SCI; citation: 20+)

[Digital terrain analysis] > Qin C-Z, Bao L-L, Zhu A-X*, Wang R-X, Hu X-M. Uncertainty due to DEM error in landslide susceptibility mapping. International Journal of Geographical Information Science, 2013, 27(7): 1364-1380. doi: 10.1080/13658816.2013.770515. (SCI; 50 free eprints)

[Digital terrain analysis] > Qin C-Z, Bao L-L, Zhu A-X, Hu X-M, Qin B. Artificial surfaces simulating complex terrain types for evaluating grid-based flow direction algorithms. International Journal of Geographical Information Science, 2013, 27(6): 1055-1072.  (SCI; citation: 10+; detailed derivation process of theoretical SCA; in SimDTA tool) 

[Watershed simulation][Parallel geocomputation] > Liu J-Z, A-X Zhu, C-Z Qin. Estimation of theoretical maximum speedup ratio for parallel computing of grid-based distributed hydrological models. Computers & Geosciences, 2013, 60: 58-62. doi: 10.1016/j.cageo.2013.04.030. (SCI) 

[Spatial prediction] > Yang L, A-X Zhu*, F Qi, C-Z Qin, B-L Li, T Pei. An integrative hierarchical stepwise sampling strategy and its application in digital soil mapping. International Journal of Geographical Information Science, 2013, 27(1): 1-23. (SCI; citation: 40+) 

[Digital terrain analysis] > Zhan L-J, Qin C-Z*, Zhu A-X. Which type of slope gradient should be used to determine flow-partition proportion in multiple-flow-direction algorithms—tangent or sine? Hydrology and Earth System Sciences Discussions, 2012, 9: 6409-6418.

[Digital terrain analysis][Parallel geocomputation] > Qin C-Z, L-J Zhan. Parallelizing flow-accumulation calculations on Graphics Processing Units—from iterative DEM preprocessing algorithm to recursive multiple-flow-direction algorithm. Computers & Geosciences, 2012, 43: 7-16. (SCI; "Top 25 Hottest Articles" of Computers & Geosciences: 3rd (April to June 2012); 8th (July to September 2012) ; 12th (2012 full year); citation: 50+)

[Spatial prediction] > Qin C-Z, A-X Zhu, W-L Qiu, et al. Mapping soil organic matter in small low-relief catchments using fuzzy slope position information. Geoderma, 2012, 171-172: 64-74. (SCI; citation: 30+)

[Digital terrain analysis] > Qin C-Z, A-X Zhu, T Pei, et al. An approach to computing topographic wetness index based on maximum downslope gradient. Precision Agriculture, 2011, 12(1): 32-43. (SCI; citation: 100+; in SimDTA tool; implemented in SAGA)

[Spatial prediction] > Zhu A X, Yang L, Li B L, Qin C Z, Pei T, Liu B Y. Construction of membership functions for predictive soil mapping under fuzzy logic. Geoderma, 2010, 155(3-4): 164-174. (SCI; citation: 60+) 

[Spatial prediction] > Pei T, C-Z Qin, A-X Zhu, et al. Mapping soil organic matter using the topographic wetness index: A comparative study based on different flow-direction algorithms and kriging methods. Ecological Indicators, 2010, 10(3): 610-619. (SCI; citation: 100+)

[Digital terrain analysis] > Qin C-Z, A-X Zhu, X Shi, et al. Quantification of spatial gradation of slope positions. Geomorphology, 2009, 110: 152-161. (SCI; citation: 40+)

[Digital terrain analysis] > Yong B, W-C Zhang, G-Y Niu, L-L Ren, C-Z Qin. Spatial statistical properties and scale transform analyses on the topographic index derived from DEMs in China. Computers & Geosciences, 2009, 35: 592-602. (SCI) 

[Spatial prediction] > Qi F, Zhu A-X, Pei T, Qin C-Z, Burt J E. Knowledge discovery from area-class resource maps: capturing prototype effects. Cartography and Geographic Information Science, 2008, 35(4): 223-237. (EI)

[Digital terrain analysis] > Qin C-Z, A-X Zhu, T Pei, et al. An adaptive approach to selecting a flow-partition exponent for a multiple-flow-direction algorithm. International Journal of Geographical Information Science, 2007, 21(4): 443-458. (SCI; citation: 100+; in SimDTA tool; integrated in ArcGIS; implemented in SAGA; Remark: In Jan 2022, after receiving an email of asking about running TWI-md algorithm in SAGA, we first checked the MFD-md/TWI-md code implemented by someone in SAGA and found a bug. We reported the bug as well as the corrected code to the manager group of SAGA. It has been fixed. Meanwhile, we also compared the result with tat from the implementation in ArcGIS. It seems the result of MFD-md from ArcGIS is also questionable. We have sent email to report it to ArcGIS development group.)

Incomplete list of peer-reviewed journal papers in Chinese: 
> Qin C-Z, Chen M. GIScience international journal ranking by Chinese researchers: A questionnaire survey and result. Acta Geographica Sinica, 2014, 69(4): 566-572. (in Chinese with English abstract) (Complete report in Chinese with English abstract)
> Lu Y-J, C-Z Qin*, W-L Qiu, et al. Sensitivity analysis of soil property parameter in typical-sample-based prediction model of digital soil mapping. Scientia Geographica Sinica, 2011, 31(12): 1549-1554. (in Chinese with English abstract)
> Bao L-L, C-Z Qin*, A-X Zhu. Quantitative error assessment of topographic wetness index algorithms. Progress in Geography, 2011, 30(1): 57-64. (in Chinese with English abstract) 
> Qin C-Z, Y-J Lu, W-L Qiu, et al. Application of fuzzy slope positions in predicting spatial distribution of soil property in a small catchment. Geographical Research, 2010, 29(9): 1706-1714. (in Chinese with English abstract) 
> Qin C-Z, Y-J Lu, L-L Bao, et al. Simple Digital Terrain Analysis Software (SimDTA V1.0) and Its Application in Fuzzy Classification of Slope Positions. Journal of Geo-Information Science, 2009, 11(6): 737-743. (in Chinese with English abstract; download SimDTA) 
> Qin C-Z, A-X Zhu, B-L Li, et al. Taxonomy of slope positions and quantification of their spatial distribution information. Geomatics and Information Science of Wuhan University, 2009, 34(3): 374-377. (in Chinese with English abstract) 
> Qin C-Z, A-X Zhu, X Shi, et al. Fuzzy inference of spatial gradation of slope positions. Geographical Research, 2007, 26(6): 1165-1174. (in Chinese with English abstract) 
> Qin C-Z, L Yang, A-X Zhu, et al. Computation method of topographic wetness index in low-relief area. Progress in Geography, 2006, 25(6): 87-93. (in Chinese with English abstract) 
> Qin C-Z, A-X Zhu, B-L Li, et al. Review of Multiple Flow Direction Algorithms Based on Gridded Digital Elevation Models. Earth Science Frontiers, 2006, 13(3): 91-98. (in Chinese with English abstract) 
> Qin C-Z, B-L Li, A-X Zhu, et al. Multiple Flow Direction Algorithm with Flow Partition Scheme Based on Downslope Gradient. Advances in Water Science, 2006, 17(4): 450-456. (in Chinese with English abstract)

Book chapters & Entries:

> Qin C-Z, Zhu A-X. Towards domain-knowledge-based intelligent geographical modeling. In: Li B, Shi X, Zhu A-X, Wang C, Lin H. eds. New Thinking in GIScience. Springer, Singapore, 2022, pp. 171-178. https://doi.org/10.1007/978-981-19-3816-0_19.

> Qin C-Z, Zhu L-J. GDAL/OGR and Geospatial Data IO Libraries. In: The Geographic Information Science & Technology Body of Knowledge, Wilson J P (Ed.), University Consortium for Geographic Information Science (UCGIS), 2020. DOI:10.22224/gistbok/2020.4.1

> Qin C-Z. Cuda/GPU (Entry id: 451957). Encyclopedia of GIS (Second Edition), edited by Shashi Shekhar, Hui Xiong, and Xun Zhou. Springer, 2016. (ISBN: 978-3-319-17884-4) DOI 10.1007/978-3-319-23519-6_1606-1

> Pei T, Xu J, Gong J, Liu X, Wang J, Du S, Qin C-Z, Yang L, Wan Y. Spatial analysis and simulation. In: Leng S, et al. The Geographical Sciences During 1986—2015 (From the Classics to the Frontiers). Springer, 2017, 596 p., pp. 339-366. DOI: 10.1007/978-981-10-1884-8_15.

> Reviewer for 40+ SCI/SSCI-indexed journals, e.g., AAAG, IJGIS, Transactions in GIS, Computers & Geosciences, Environmental Modelling and Software, IJDE, Journal of Hydrology, Geomorphology, International Journal of Applied Earth Observation and Geoinformation, Geoderma, Catena, Computers, Environment and Urban Systems, Journal of Mountain Science, Earth Science Informatics, Frontiers of Earth Science, Remote Sensing, IEEE Transactions on Knowledge and Data Engineering, Cluster Computing, ......

> Associate Editor: <Transactions in GIS>(SSCI indexed) (2024~)

> Editorial board member: <Transactions in GIS>(SSCI indexed)(2022~); <Water>(SCI indexed)(2020~); <Geographical Research>(in Chinese; ISSN: 1000-0585)(2015 - )

> iEMSs (International Environmental Modelling and Software Society) Board of Directors (2020~ )

> International Society of Geomorphometry Executive Committee member (2021-2023, 2023-2025)

> Scientific committee of Geomorphometry'2020 & '2021, '2023, iEMSs'2024

> Guest Editor of <Earth Surface Processes and Landforms> Special Issue: Remote sensing applications in geomorphology

> Program Committee of SpatialDI'2020, the Second International Conference on CyberGIS and Geodesign (CyberGIS'14)

> Organizing Committee of the AAG 2015 Symposium on CyberGIS for Fostering New Frontiers of Geographic Research and Education, the 17th International Symposium of Spatial Data Handling (SDH'2016)

> Co-Chair of Local Organizing Committee of the Second IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM 2015)

> Lecturer of "Digital terrain analysis for digital soil mapping" (3 hours, including 45 min exercise), in Training Workshop on the Update of Harmonized World Soil Database (HWSD), 2012-12-5~7, Nanjing, China, organized by Asian Soil Partnership (ASP), the Institute of Soil Science, Chinese Academy of Sciences (ISSCAS)

Projects charged as PI mainly include: 
> "Intelligent method of identifying watershed hydrological model structure by considering spatial heterogeneity of application context" (No. 42471499; 2025~2028) funded by National Natural Science Foundation of China; 

> "Slope Position as Spatial Unit for Optimizing Scenarios of Beneficial Watershed Management Practices in a Unit-Boundary Adaptive Manner" (No. 41871362; 2019~2022) funded by National Natural Science Foundation of China; 

> "Excellent Young Scholars" project funded by National Natural Science Foundation of China (No. 41422109; 2015~2017);
> "Quantification of spatial gradation of slope positions based on prototype theory" (No. 40971235; 2010~2012) funded by National Natural Science Foundation of China;
> "Quantification of Geo-feature for Synthesized Modeling of Earth-Surface Processes" (No. KZCX2-YW-Q10-1-5; 2009~2011) funded by Chinese Academy of Sciences;
> "Research on Self-adaptive Multiple Flow Direction Algorithm" (No. 40501056; 2006~2008) funded by National Natural Science Foundation of China

Mainly participating in following projects: 
> "Design and development of database and integrated application system of soil pollution investigation of China (Stage I, II)" (2007-2008) funded by Ministry of Environmental Protection of China

Institute of Geographic Sciences and Natural Resources Research, CAS

ORCID: 0000-0002-5910-9807

Web of Science ResearcherID: B-7729-2011

Cheng-Zhi Qin (researchgate.net)

code & program developed by my workgroup: https://github.com/lreis2415