| Urban flood risk differentiation under land use scenario simulation H Zhao, T Gu, J Tang, Z Gong, P Zhao Iscience 26 (4), 2023 | 29 | 2023 |
| Identifying Spatiotemporal Heterogeneity of PM2.5 Concentrations and the Key Influencing Factors in the Middle and Lower Reaches of the Yellow River H Zhao, Y Liu, T Gu, H Zheng, Z Wang, D Yang Remote Sensing 14 (11), 2643, 2022 | 16 | 2022 |
| Locational dynamics of luxury hotels in Shanghai metropolis, China: A spatial-temporal perspective H Zhao, T Gu, L Yue, X Xu Land 11 (10), 1690, 2022 | 9 | 2022 |
| “三生” 功能视角下黄河流域城市人居环境动态演变与机制 赵宏波， 谷天顺， 孙东琪， 苗长虹 ACTA GEOGRAPHICA SINICA 78 (12), 2023 | 6 | 2023 |
| Quantifying the Spatial Fragmentation Pattern and Its Influencing Factors of Urban Land Use: A Case Study of Pingdingshan City, China L Yue, H Zhao, X Xu, T Gu, Z Jia Land 11 (5), 686, 2022 | 6 | 2022 |
| Unraveling the factors behind self-reported trapped incidents in the extraordinary urban flood disaster: a case study of Zhengzhou City, China H Zhao, Y Liu, L Yue, T Gu, J Tang, Z Wang Cities 155, 105444, 2024 | 4 | 2024 |
| Attribution analysis of urban social resilience differences under rainstorm disaster impact: Insights from interpretable spatial machine learning framework T Gu, H Zhao, L Yue, J Guo, Q Cui, J Tang, Z Gong, P Zhao Sustainable Cities and Society 118, 106029, 2025 | 2 | 2025 |
| Unveiling the spatial heterogeneity of factors influencing physical and perceived recovery disparities under extreme rainstorms: A geographically weighted machine learning approach Z Zhao, Z Li, R Tong, T Gu, D Fang Sustainable Cities and Society 118, 106023, 2025 | 1 | 2025 |
| Urban landscape patterns and residents’ perceptions of safety under extreme city flood disasters W Ma, Y Du, Y Wang, Q Chen, H Jiang, R Cai, T Gu, W Zhang Ecological Indicators 170, 113003, 2025 | | 2025 |
| Locational Dynamics of Luxury Hotels in Shanghai Metropolis, China: A Spatial-Temporal Perspective. Land 2022, 11, 1690 H Zhao, T Gu, L Yue, X Xu s Note: MDPI stays neu-tral with regard to jurisdictional claims in …, 2022 | | 2022 |
| Understanding the Key Influencing Factors of Urban Resilience in Zhengzhou City, China: Quantification Using Spatial Machine Learning and the Density-Structure-Function Framework T Gu, H Zhao, Y Li, J Guo, J Tang, P Zhao Jiaojiao and Tang, Junqing and Zhao, Pengjun, Understanding the Key …, 0 | | |