OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

An XGBoost-SHAP approach to quantifying morphological impact on urban flooding susceptibility
Mo Wang, Yingxin Li, Haojun Yuan, et al.
Ecological Indicators (2023) Vol. 156, pp. 111137-111137
Open Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Assessing the scale effect of urban vertical patterns on urban waterlogging: An empirical study in Shenzhen
Yuqin Huang, Jinyao Lin, Xiaoyu He, et al.
Environmental Impact Assessment Review (2024) Vol. 106, pp. 107486-107486
Closed Access | Times Cited: 37

Synergistic assessment of multi-scenario urban waterlogging through data-driven decoupling analysis in high-density urban areas: A case study in Shenzhen, China
Shiqi Zhou, Weiyi Jia, Mo Wang, et al.
Journal of Environmental Management (2024) Vol. 369, pp. 122330-122330
Closed Access | Times Cited: 8

Simulation and prediction of PM2.5 concentrations and analysis of driving factors using interpretable tree-based models in Shanghai, China
Wei Qing, Yongqi Chen, Huijin Zhang, et al.
Environmental Research (2025), pp. 121003-121003
Closed Access | Times Cited: 1

Decoding China’s new-type industrialization: Insights from an XGBoost-SHAP analysis
Yawen Lai, Guochao Wan, Xiaoxia Qin
Journal of Cleaner Production (2024) Vol. 478, pp. 143927-143927
Open Access | Times Cited: 6

Enhancing transparency in data-driven urban pluvial flood prediction using an explainable CNN model
Weizhi Gao, Yaoxing Liao, Yuhong Chen, et al.
Journal of Hydrology (2024), pp. 132228-132228
Closed Access | Times Cited: 6

Attribution analysis of urban social resilience differences under rainstorm disaster impact: Insights from interpretable spatial machine learning framework
Tianshun Gu, Hongbo Zhao, Yue Li, et al.
Sustainable Cities and Society (2024), pp. 106029-106029
Closed Access | Times Cited: 6

Flood risk in mountainous settlements: A new framework based on an interpretable NSGA-II-GB from a point-area duality perspective
Qihang Wu, Zhe Sun, Zhan Wang, et al.
Journal of Environmental Management (2025) Vol. 373, pp. 123842-123842
Closed Access

Informing Risk Hotspots and Critical Mitigations for Rainstorms Using Machine Learning: Evidence from 268 Chinese Cities
Litiao Hu, Siqi Deng, Jixiang Ma, et al.
Environmental Science & Technology (2025)
Closed Access

Explainability of Machine Learning Models with XGBoost and SHAP Values in the Context of Coping with Disasters
Lucas Teixeira, Augusto de Matos, Gabriel Carvalho, et al.
Lecture notes in computer science (2025), pp. 152-166
Closed Access

A Systematic Review of Urban Flood Susceptibility Mapping: Remote Sensing, Machine Learning, and Other Modeling Approaches
Tania Islam, Ethiopia Bisrat Zeleke, Mahmud Afroz, et al.
Remote Sensing (2025) Vol. 17, Iss. 3, pp. 524-524
Open Access

Impacts of Land Surface Temperature and Ambient Factors on Near-Surface Air Temperature Estimation: A Multisource Evaluation Using SHAP Analysis
Songyang Li, Man Sing Wong, Rui Zhu, et al.
Sustainable Cities and Society (2025), pp. 106257-106257
Closed Access

Investigating the cooling effect of urban lakes from the perspective of their characteristics and surrounding landscapes: A case study of 82 urban lakes in China
R.L. Huang, Hao Hou, Jiahui Li, et al.
The Science of The Total Environment (2025) Vol. 969, pp. 178925-178925
Closed Access

PM2.5 concentration prediction using a whale optimization algorithm based hybrid deep learning model in Beijing, China
Wei Qing, Huijin Zhang, Ju Yang, et al.
Environmental Pollution (2025) Vol. 371, pp. 125953-125953
Closed Access

Spatiotemporal patterns and drivers of public concern about air pollution in China: Leveraging online big data and interpretable machine learning
Gang Xu, Haimeng Liu, Chenhui Jia, et al.
Environmental Impact Assessment Review (2025) Vol. 114, pp. 107897-107897
Closed Access

Contrast or Diversity: Non-Flood sampling in urban flood susceptibility modelling
Huabing Huang, Zhiwen Tao, Jiayin Zhan, et al.
Journal of Hydrology (2025), pp. 133053-133053
Closed Access

On Robustness of the Explanatory Power of Machine Learning Models: Insights From a New Explainable AI Approach Using Sensitivity Analysis
Banamali Panigrahi, Saman Razavi, Lorne E. Doig, et al.
Water Resources Research (2025) Vol. 61, Iss. 3
Open Access

Driving mechanisms and threshold identification of landscape ecological risk: A nonlinear perspective from the Qilian Mountains, China
Bin Qiao, Hao Yang, Xiaoyun Cao, et al.
Ecological Indicators (2025) Vol. 173, pp. 113342-113342
Closed Access

Quantifying the nonlinear and interactive effects of urban form on resilience to extreme precipitation: Evidence from 192 cities of Southern China
Wenrui Wang, Yang Wang, Chen Shen
Sustainable Cities and Society (2025), pp. 106366-106366
Closed Access

Uncovering spatial patterns of environmental influence on the paces of active leisure travel
Chengbo Zhang, Xiao Yang, Jingxiong Huang, et al.
Cities (2025) Vol. 162, pp. 105971-105971
Closed Access

Enhancing Urban Flood Susceptibility Assessment by Capturing the Features of the Urban Environment
Juwei Tian, Yu Chen, Linhan Yang, et al.
Remote Sensing (2025) Vol. 17, Iss. 8, pp. 1347-1347
Open Access

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