Dr. Peng Peng is an Associate Professor of the Chinese Academy of Sciences. He is the first author/corresponding author on 30 of the more than 60 research papers he has published so far. He has presided over the National Natural Science Youth Foundation, the National Key Research and Development Project sub-project, the Special Research Assistant Project of the Chinese Academy of Sciences, etc., and has served as guest editors for the SCI journals IJGI and Sensors.

1. Peng, P., Xie, X., Claramunt, C., Lu, F., Gong, F., & Yan, R. (2025). Bibliometric analysis of maritime cybersecurity: Research status, focus, and perspectives. Transportation Research Part E: Logistics and Transportation Review, 195, 103971.

2. Xu, Y., Peng, P*., Xie, X., & Lu, F. (2025). Structural analysis and robustness assessment of global LNG transport network from 2013 to 2023. Ocean & Coastal Management, 263, 107619.

3. Huang, Z., Peng, P*., Lu, F., & Zhang, H. (2025). An LLM‐Based Method for Quality Information Extraction From Web Text for Crowed‐Sensing Spatiotemporal Data. Transactions in GIS, 29(1).

4. Ke, R., Wang, X., & Peng, P*. (2024). Analysis of the Impact of the Russia–Ukraine Conflict on Global Liquefied Natural Gas Shipping Network. Journal of Marine Science and Engineering, 13(1), 53. 

5. Xu, Y., Peng, P*., Lu, F., & Claramunt, C. (2024). Uncovering the multiplex network of global container shipping: Insights from shipping companies. Journal of Transport Geography, 120, 103991.

6. Xu, Y., Peng, P*., Claramunt, C., Lu, F., & Yan, R. (2024). Cascading failure modelling in global container shipping network using mass vessel trajectory data. Reliability Engineering & System Safety, 249, 110231.

7. Peng, P., Poon, J. P., & Xie, X. (2024). COVID-19 Medical Trade: Multilayer Network Analysis and Network Determinants. Networks and Spatial Economics, 24(1), 27-48.

8. Poon, J. P., Peng, P*., & Atkinson, J. D. (2024). Industrial and textile waste trade: Multilayer network and environmental policy effects. Waste Management, 177, 146-157.

9. Gao, J., Peng, P*., Lu, F., Wang, S., Xie, X., & Claramunt, C. (2024). Knowledge‐driven spatial competitive intelligence for tourism. Transactions in GIS, 28(3), 535-563.

10. Gao, J., Peng, P*., Lu, F., Claramunt, C., Qiu, P., & Xu, Y. (2024). Mining tourist preferences and decision support via tourism-oriented knowledge graph. Information Processing & Management, 61(1), 103523.

11. Peng, P., Poon, J. P., Cheng, S., Dong, Y., Yang, Y., & Lu, F. (2023). Container port influence: a spatial diffusion analysis of global transshipments. Maritime Policy & Management, 1-18.

12. Peng, P., Claramunt, C., Cheng, S., Yang, Y., & Lu, F. (2023). A multi-layer modelling approach for mining versatile ports of a global maritime transportation network. International Journal of Digital Earth, 16(1), 2129-2151.

13. Gao, J., Peng, P*., Lu, F., Claramunt, C., & Xu, Y. (2023). Towards travel recommendation interpretability: Disentangling tourist decision-making process via knowledge graph. Information Processing & Management, 60(4), 103369.

14. Chen, M., Claramunt, C., Çöltekin, A., Liu, X., Peng, P., Robinson, A. C., ... & Lü, G. (2023). Artificial intelligence and visual analytics in geographical space and cyberspace: Research opportunities and challenges. Earth-Science Reviews, 104438.

15. 魏婧卉, 吴升, 彭澎*, 陆锋, 徐阳. 企业投融资视角下福建省数字产业发展时空演化. 地球信息科学学报[J]. 2023, 25(2): 354-367,

16. Gao, J., Peng, P*., Lu, F., & Claramunt, C. (2022). A multi-scale comparison of tourism attraction networks across China. Tourism Management, 90, 104489.

17. Peng, P., Claramunt, C., Cheng, S., & Lu, F. (2022). How Does a Port Build Influence? Diffusion Patterns in Global Oil Transportation. Sensors, 22(22), 8595.

18. 徐阳, 彭澎*, 陆锋, 高嘉良, 程诗奋. COVID-19疫情影响下的香港旅游网络演化特征. 地理研究[J]. 2022, 41(12): 3199-3213.

19. Del Mondo, G., Peng, P., Gensel, J., Claramunt, C., & Lu, F. (2021). Leveraging spatio-temporal graphs and knowledge graphs: Perspectives in the field of maritime transportation. ISPRS International Journal of Geo-Information, 10(8), 541.

20. Peng, P., Lu, F., Cheng, S., & Yang, Y. (2021). Mapping the global liquefied natural gas trade network: A perspective of maritime transportation. Journal of Cleaner Production, 283, 124640.

21. 彭澎, 程诗奋, 杨宇, 陆锋. 全球液化天然气运输网络特征及其演化. 地理研究[J]. 2021, 40(2): 373-386,

22. Peng, P., Cheng, S., & Lu, F. (2020). Characterizing the global liquefied petroleum gas trading community using mass vessel trajectory data. Journal of Cleaner Production, 252, 119883.

23. Cheng, S., Peng, P., & Lu, F. (2020). A lightweight ensemble spatiotemporal interpolation model for geospatial data. International Journal of Geographical Information Science, 34(9), 1849-1872.

24. 陈闪闪, 彭澎*, 陆锋, 吴升. 海洋主航道对全球集装箱运输网络的影响分析. 地理研究[J]. 2019, 38(9): 2273-2287.

25. Peng, P., Yang, Y., Cheng, S., Lu, F., & Yuan, Z. (2019). Hub-and-spoke structure: Characterizing the global crude oil transport network with mass vessel trajectories. Energy, 168, 966-974.

26. Peng, P., Poon, J. P., Yang, Y., Lu, F., & Cheng, S. (2019). Global oil traffic network and diffusion of influence among ports using real time data. Energy, 172, 333-342.

27. Peng, P., Cheng, S., Chen, J., Liao, M., Wu, L., Liu, X., & Lu, F. (2018). A fine-grained perspective on the robustness of global cargo ship transportation networks. Journal of Geographical Sciences, 28, 881-889.

28. Peng, P., Yang, Y., Lu, F., Cheng, S., Mou, N., & Yang, R. (2018). Modelling the competitiveness of the ports along the Maritime Silk Road with big data. Transportation Research Part A: Policy and Practice, 118, 852-867.

29. 彭澎, 程诗奋, 刘希亮, 梅强, 陆锋. 全球海洋运输网络健壮性评估. 地理学报[J]. 2017, 72(12): 2241-2251.

现指导学生

谢晓苇  博士研究生  070503-地图学与地理信息系统  

徐阳  博士研究生  070503-地图学与地理信息系统  

王凯诺  硕士研究生  070503-地图学与地理信息系统  

谢温馨  博士研究生  070503-地图学与地理信息系统