Chen

Educational Background

Publication

Article:

Chen, C., Jiang, Y., Feng, Y., Liu, Y., & Meng, L. (2026). Explaining the urban mechanisms behind OpenStreetMap updates: Evidence from 88 German cities. Computers, Environment and Urban Systems, 128, 102456.
Chen, C., Luo, P., Zhao, B., Wang, S., Feng, Y., & Meng, L. (2026). Ethical Spatial Analysis: Addressing Endogenous Bias Through Visual Analytics. Journal of Geovisualization and Spatial Analysis, 10, 4.
Cui, W., Luo, P., Li, W., … & Chen, C.*（2026). Navigating hierarchies in hyperbolic space: A knowledge-driven graph network for semantic segmentation of remote sensing imagery. International Journal of Applied Earth Observation and Geoinformation, 152, 105435.
Chen, C., Lao, Y., Fan, J., Liu, L., Liang, Y., & Meng, L. (2025). Geovisual explainable AI for understanding frozen ground in Qinghai-Tibet Plateau urban region. International Journal of Applied Earth Observation and Geoinformation, 142, 104760.
Luo, P., Chen, C. *, Gao, S., Zhang, X., Majok Chol, D., Yang, Z., & Meng, L. (2025). Understanding of the predictability and uncertainty in population distributions empowered by visual analytics. International Journal of Geographical Information Science, 1–31.
Chen, C., Wei, M., Zhang, P., Luo, P. & Meng, L. (2025). An infographic framework of GeoAI ethics based on news data. Cartography and Geographic Information Science, 1–21.
Wei, M., Zhang, P., Chen, C. *, Chen, D., Zuo, C., & Meng, L. (2025). Mapping AI ethics narratives: evidence from Twitter discourse between 2015 and 2022. Humanities and Social Sciences Communications, 12(1), 1-13.
Chen, C., Luo, P., Zhao, H., Wei, M., Zhang, P., Liu, Z., & Meng, L. (2025). A unified ontological and explainable framework for decoding AI risks from news data. Scientific Reports, 15(1), 25621.
Chen, C., Feng, Y., Wei, M., Liu, Z., Luo, P., Wang, S., & Meng, L. (2024). A hyper-knowledge graph system for research on AI ethics cases. Heliyon, 10(7).
Chen, C., Zhao, H., Cui, W., & He, X. (2021). Dual Crisscross Attention Module for Road Extraction from Remote Sensing Images. Sensors, 21(20), 6873.
Wei, M., Feng, Y., Chen, C., Luo, P., Zuo, C., & Meng, L. (2024). Unveiling public perception of AI ethics: an exploration on Wikipedia data. EPJ Data Science, 13(1), 26.
Zuo, C., Wei, M., Zhang, P., Chen, C. & Meng, L. (2024). Assessing maps for social topic representation: a qualitative content analysis of maps for sustainable mobility. International Journal of Cartography, 1-19.
Zhao, H., Luo, P., Cui, W., Xia, C., Xu, X., Feng, Z., ... & Chen, C. (2024). Geographical Scenario Knowledge Informed Graph Structure Attention for Image Segmentation. IEEE Transactions on Geoscience and Remote Sensing.
Liu, Y., Wang, Y., Zhang, Y., Mei, S., Zou, J., Li, Z., ...Chen, C.,… & Hong, D. (2024). Cross-City Semantic Segmentation (C2Seg) in Multimodal Remote Sensing: Outcome of the 2023 IEEE WHISPERS C2Seg Challenge. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 8851-8862.

Conference:

Chen, C., Wei, M., & Meng, L. (2023). Visual analysis of AI ethics cases. Abstracts of the ICA, 6, 35.
Zhao, H., Chen, C. *, & Xia, C. (2023, October). Multimodal Remote Sensing Network. In 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS) (pp. 1-4). IEEE.
Wei, M., Chen, C., Zuo, C., & Meng, L. (2023). Detecting and visualizing the knowledge structure of AI ethics in Wikipedia data. Abstracts of the ICA, 6, 269.
Liu, N., Salazar, J., Chen, C., Wang, S., Netek, R., Popelka, S., & Meng, L. (2023). Using Eye-tracking to Evaluate Visual Behaviours on GISEnhanced Football Animations. Abstracts of the ICA, 6, 144.
 

Teaching

Lecture

Image Analysis for Mapping (M.Sc, since 2022)
Mapping for a Sustainable World – Seminar (M.Sc, 2023 Summer)
Spatial Data Intergration (M.Sc, 2026 Summer)

Master Thesis Supervision:

[1] Knowledge Graph Construction Based on Earth System Science Data (ESSD) Journal Articles   (Junyi Wu, 2023)

[2] Multi-Scale Analysis of Urban Heat Island Effect Based on Multisource Geographic Driving Factors and Causal Inference （Xingyu Liu, 2025）

[3] Geovisual Analytics of U.S. Election Data Empowered by Explainable Artificial Intelligence (Yuxuan Zhang, 2025)

[4] GeoCausal SHAP – A Geovisual Analytics Framework for Explaining AI Combining SHAP and Causal Discovery (Yuchen Wu, 2025)

[5] Explainable AI for OpenStreetMap Update Demand Prediction (Yiding Liu, 2025)

[6] Exploring the Relationship between Built Environment and Metro Ridership through Geovisual Explainable AI (Qingyu Wang, 2025)

[7] An open source Python package for geospatial visual explainable AI with causal discovery and recursive decomposition (Yuanhan Shu, 2026)

[8] Design and Implementation of an AI-agent–based Self-diagnostic Ethical GeoAI Framework (Yikun Hao, 2026)

[9] Geovisual Analytics for Understanding Subway Flow and Its Driving Factors Empowered by Mathematical Formula Exploration (Lingyu Tang, 2026)

[10] Geovisual Exploration of Human Mobility and Environmental Exposure From a Geospatial Analysis Perspective (Ximing Wang, 2026)

Seminar Supervision:

Visual Analysis of AI Risks on Global Scale (Rooseler Gyimah, 2023)

Journal Reviewers

Cartography and Geographic Information Science
International journal of applied earth observation and geoinformation
Computational Urban Science
PloS one