Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Spatial characteristics and driving factors of urban flooding in Chinese megacities
Yongheng Wang, Chunlin Li, Miao Liu, et al.
Journal of Hydrology (2022) Vol. 613, pp. 128464-128464
Closed Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

Impact of Land Use and Land Cover Change on Hydrological Processes in Urban Watersheds: Analysis and Forecasting for Flood Risk Management
Mandip Banjara, Amrit Bhusal, Amrit Babu Ghimire, et al.
Geosciences (2024) Vol. 14, Iss. 2, pp. 40-40
Open Access | Times Cited: 14
A novel framework for urban flood risk assessment: Multiple perspectives and causal analysis
Yongheng Wang, Qingtao Zhang, Kairong Lin, et al.
Water Research (2024) Vol. 256, pp. 121591-121591
Closed Access | Times Cited: 14
Assessment of Urban Flood Disaster Responses and Causal Analysis at Different Temporal Scales Based on Social Media Data and Machine Learning Algorithms
Qichen Guo, Sheng Jiao, Yuchen Yang, et al.
International Journal of Disaster Risk Reduction (2025) Vol. 117, pp. 105170-105170
Closed Access | Times Cited: 1
Mapping of Flood-Prone Areas Utilizing GIS Techniques and Remote Sensing: A Case Study of Duhok, Kurdistan Region of Iraq
Aumed Rahman M Amen, Andam Mustafa, Dalshad Ahmed Kareem, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 1102-1102
Open Access | Times Cited: 33
Flood risk assessment of Wuhan, China, using a multi-criteria analysis model with the improved AHP-Entropy method
Yiqing Chen, Deyun Wang, L. Zhang, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 42, pp. 96001-96018
Closed Access | Times Cited: 27
Analyzing the impacts of topographic factors and land cover characteristics on waterlogging events in urban functional zones
Wenzhao Liu, Xin Zhang, Qi Feng, et al.
The Science of The Total Environment (2023) Vol. 904, pp. 166669-166669
Closed Access | Times Cited: 26
Urban flood susceptibility mapping using remote sensing, social sensing and an ensemble machine learning model
Xiaotong Zhu, Hongwei Guo, Jinhui Jeanne Huang‬‬‬‬
Sustainable Cities and Society (2024) Vol. 108, pp. 105508-105508
Closed Access | Times Cited: 8
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: 7
Spatial-temporal evolution of influencing mechanism of urban flooding in the Guangdong Hong Kong Macao greater bay area, China
Chunbo Zhang, Tao Xu, Teng Wang, et al.
Frontiers in Earth Science (2023) Vol. 10
Open Access | Times Cited: 18
Risk Assessment and Management Method of Urban Flood Disaster
Jiake Li, Jiayu Gao, Ning Li, et al.
Water Resources Management (2023) Vol. 37, Iss. 5, pp. 2001-2018
Closed Access | Times Cited: 17
Optimizing the deployment of LID facilities on a campus-scale and assessing the benefits of comprehensive control in Sponge City
Xianbao Zha, Fang Wei, Wei Zhu, et al.
Journal of Hydrology (2024) Vol. 635, pp. 131189-131189
Closed Access | Times Cited: 6
Optimizing flood risk modelling with high-resolution remote sensing data and analytic hierarchy process
Gerald Albert Baeribameng Yiran, Clement Kwang, Lewis Blagogie
SN Social Sciences (2024) Vol. 4, Iss. 6
Closed Access | Times Cited: 6
A novel AI-based model for real-time flooding image recognition using super-resolution generative adversarial network
Yuan-Fu Zeng, M. M. Chang, Gwo‐Fong Lin
Journal of Hydrology (2024) Vol. 638, pp. 131475-131475
Closed Access | Times Cited: 6
Assessment of urban waterlogging-induced road traffic safety risk and identification of its driving factors: A case study of Beijing
Zihao Yang, Hao Wang, Bin Chen
Transportation Research Part A Policy and Practice (2024) Vol. 183, pp. 104080-104080
Closed Access | Times Cited: 5
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: 5
Analysis of Flooding Under Extreme Conditions with Factors Interactions Using Hybrid Machine Learning
Yanfen Geng, Xinyu Hu, Xiao Huang, et al.
Water Resources Management (2025)
Closed Access
Quantifying the Spatiotemporal Dynamics of Urban Flooding Susceptibility in the Greater Bay Area Under Shared Socio-Economic Pathways Using the Sd-Plus-Lightgbm Framework
Shiqi Zhou, Weiyi Jia, Xiao Geng, et al.
(2025)
Closed Access
A multiscale physically-based approach to urban flood risk assessment using ABM and multi-source remote sensing data
Xinyi Shu, Chenlei Ye, Zongxue Xu, et al.
International Journal of Disaster Risk Reduction (2025), pp. 105332-105332
Closed Access
Multi-Scenario Urban Waterlogging Risk Assessment Study Considering Hazard and Vulnerability
Yanbin Li, Tongxuan Huang, Hongxing Li, et al.
Water (2025) Vol. 17, Iss. 6, pp. 783-783
Open Access
Urban flood risk management through the lens of citizen science: A case study on the two city corporations’ area of Dhaka
Farzana Ahmed Mohuya, Claire Walsh, Hayley J. Fowler
International Journal of Disaster Risk Reduction (2025), pp. 105405-105405
Closed Access
Impact of 2D and 3D factors on urban flooding: Spatial characteristics and interpretable analysis of drivers
Yongheng Wang, Qingtao Zhang, Jingkun Zhang, et al.
Water Research (2025), pp. 123537-123537
Closed Access
How suitable are current approaches to simulate flood risk under future urbanization trends?
Veronika Zwirglmaier, Andrea Reimuth, Matthias Garschagen
Environmental Research Letters (2024) Vol. 19, Iss. 7, pp. 073003-073003
Open Access | Times Cited: 4
An integrated urban flooding risk analysis framework leveraging machine learning models: A case study of Xi'an, China
Wen Li, Rengui Jiang, Hao Wu, et al.
International Journal of Disaster Risk Reduction (2024) Vol. 112, pp. 104770-104770
Closed Access | Times Cited: 4
Research Progress and Prospects of Urban Flooding Simulation: From Traditional Numerical Models to Deep Learning Approaches
Bowei Zeng, Guoru Huang, Wenjie Chen
Environmental Modelling & Software (2024), pp. 106213-106213
Closed Access | Times Cited: 4
The High-Resolution Calibration of the Topographic Wetness Index Using PAZ Satellite Radar Data to Determine the Optimal Positions for the Placement of Smart Sustainable Drainage Systems (SuDS) in Urban Environments
Cristina Allende-Prieto, Jorge Roces-García, Luis A. Sañudo‐Fontaneda
Sustainability (2024) Vol. 16, Iss. 2, pp. 598-598
Open Access | Times Cited: 3
Page 1 - Next Page

Scroll to top