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:

Optimization of Impervious Surface Space Layout for Prevention of Urban Rainstorm Waterlogging: A Case Study of Guangzhou, China
Huafei Yu, Yaolong Zhao, Yingchun Fu
International Journal of Environmental Research and Public Health (2019) Vol. 16, Iss. 19, pp. 3613-3613
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Predicting future urban waterlogging-prone areas by coupling the maximum entropy and FLUS model
Jinyao Lin, Peiting He, Liu Yang, et al.
Sustainable Cities and Society (2022) Vol. 80, pp. 103812-103812
Closed Access | Times Cited: 148

Evaluating the association between morphological characteristics of urban land and pluvial floods using machine learning methods
Jinyao Lin, Wenli Zhang, Youyue Wen, et al.
Sustainable Cities and Society (2023) Vol. 99, pp. 104891-104891
Closed Access | Times Cited: 50

Effects of urbanization on direct runoff characteristics in urban functional zones
Chunlin Li, Miao Liu, Yuanman Hu, et al.
The Science of The Total Environment (2018) Vol. 643, pp. 301-311
Closed Access | Times Cited: 152

Investigating the influence of three-dimensional building configuration on urban pluvial flooding using random forest algorithm
Jinyao Lin, Xiaoyu He, Siyan Lu, et al.
Environmental Research (2020) Vol. 196, pp. 110438-110438
Closed Access | Times Cited: 79

The network governance of urban renewal: A comparative analysis of two cities in China
Wei Zhang, Xinxin Zhang, Guangdong Wu
Land Use Policy (2021) Vol. 106, pp. 105448-105448
Closed Access | Times Cited: 78

Influences of impervious surfaces on ecological risks and controlling strategies in rapidly urbanizing regions
Ying Hou, Wenhao Ding, Changfeng Liu, et al.
The Science of The Total Environment (2022) Vol. 825, pp. 153823-153823
Closed Access | Times Cited: 32

IHS-GTF: A Fusion Method for Optical and Synthetic Aperture Radar Data
Zhenfeng Shao, Wenfu Wu, Songjing Guo
Remote Sensing (2020) Vol. 12, Iss. 17, pp. 2796-2796
Open Access | Times Cited: 44

Ensemble learning analysis of influencing factors on the distribution of urban flood risk points: a case study of Guangzhou, China
Juchao Zhao, Wang Jin, Zaheer Abbas, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 13

Coupled and collaborative optimization model of impervious surfaces and drainage systems from the flooding mitigation perspective for urban renewal
Entong Ke, Juchao Zhao, Yaolong Zhao, et al.
The Science of The Total Environment (2024) Vol. 917, pp. 170202-170202
Closed Access | Times Cited: 4

A Comparative Analysis of Index-Based Methods for Impervious Surface Mapping Using Multiseasonal Sentinel-2 Satellite Data
Congmin Li, Zhenfeng Shao, Lei Zhang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 14, pp. 3682-3694
Open Access | Times Cited: 27

Urban agglomeration waterlogging hazard exposure assessment based on an integrated Naive Bayes classifier and complex network analysis
Mo Wang, Xiaoping Fu, Dongqing Zhang, et al.
Natural Hazards (2023) Vol. 118, Iss. 3, pp. 2173-2197
Closed Access | Times Cited: 10

Determination and Sensitivity Analysis of Urban Waterlogging Driving Factors Based on Spatial Analysis Method
Yang Hai-yan, Ning Wang, Zhe Wang, et al.
Sustainability (2025) Vol. 17, Iss. 6, pp. 2785-2785
Open Access

The impact of landscape patterns on surface runoff in the central urban area of Chengdu
Ying Kang, Jingjing Liu, Qin Liu, et al.
Frontiers in Earth Science (2025) Vol. 13
Open 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

A method to increase the number of positive samples for machine learning-based urban waterlogging susceptibility assessments
Xianzhe Tang, Jiufeng Li, Wei Liu, et al.
Stochastic Environmental Research and Risk Assessment (2021) Vol. 36, Iss. 8, pp. 2319-2336
Closed Access | Times Cited: 21

Explaining the Factors Influencing the Individuals’ Continuance Intention to Seek Information on Weibo during Rainstorm Disasters
Sheng Cheng, Liqun Liu, Li Ke
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 17, pp. 6072-6072
Open Access | Times Cited: 21

Integrated Risk Assessment of Waterlogging in Guangzhou Based on Runoff Modeling, AHP, GIS and Scenario Analysis
Shuai Xie, Wan Liu, Zhe Yuan, et al.
Water (2022) Vol. 14, Iss. 18, pp. 2899-2899
Open Access | Times Cited: 14

A high‐efficiency global model of optimization design of impervious surfaces for alleviating urban waterlogging in urban renewal
Huafei Yu, Yaolong Zhao, Tao Xu, et al.
Transactions in GIS (2021) Vol. 25, Iss. 4, pp. 1716-1740
Closed Access | Times Cited: 18

An on-demand scheme driven by the knowledge of geospatial distribution for large-scale high-resolution impervious surface mapping
Min Huang, Nengcheng Chen, Wenying Du, et al.
GIScience & Remote Sensing (2021) Vol. 58, Iss. 4, pp. 562-586
Closed Access | Times Cited: 12

Variations of methane fluxes and methane microbial community composition with soil depth in the riparian buffer zone of a sponge city park
Xue Ru, Ke Zhang, Xiaoling Liu, et al.
Journal of Environmental Management (2023) Vol. 339, pp. 117823-117823
Closed Access | Times Cited: 5

Scenario-Based Simulation of Impervious Surfaces for Detecting the Effects of Landscape Patterns on Urban Waterlogging
Jiahui Li, Hao Hou, Yindong Zhang, et al.
Remote Sensing (2024) Vol. 16, Iss. 12, pp. 2130-2130
Open Access | Times Cited: 1

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