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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:

A Study on Identification of Urban Waterlogging Risk Factors Based on Satellite Image Semantic Segmentation and XGBoost
Jinping Tong, Fei Gao, Hui Liu, et al.
Sustainability (2023) Vol. 15, Iss. 8, pp. 6434-6434
Open Access | Times Cited: 11

Showing 11 citing articles:

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: 10
Supervised multi-regional segmentation machine learning architecture for digital twin applications in coastal regions
Mohsen Ahmadi, Ahmad Gholizadeh Lonbar, Mohammadsadegh Nouri, et al.
Journal of Coastal Conservation (2024) Vol. 28, Iss. 2
Closed Access | Times Cited: 8
A novel framework for the spatiotemporal assessment of urban flood vulnerability
Xianzhe Tang, Xi‐Ping Huang, Juwei Tian, et al.
Sustainable Cities and Society (2024) Vol. 109, pp. 105523-105523
Closed Access | Times Cited: 8
A synchronized multi-step wind speed prediction with adaptive features and parameters selection: Insights from an interaction model
Wenxin Xia, Jinxing Che, Kun Hu, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124764-124764
Closed Access | Times Cited: 5
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
Exploring the optimal method for quantifying the contribution of driving factors of urban floods
Xi‐Ping Huang, Linhan Yang, GuiCheng Yang, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 140, pp. 104597-104597
Closed Access
A new framework for early-warning classification of urban waterlogging risk based on waterlogging risk angle
Honglin Xiao, Jinping Zhang, Fuqiang Wang, et al.
Sustainable Cities and Society (2025), pp. 106460-106460
Closed Access
Exploring the Sensitivity Range of Underlying Surface Factors for Waterlogging Control
Yang Liu, Xiaotian Qi, Yingxia Wei, et al.
Water (2023) Vol. 15, Iss. 17, pp. 3131-3131
Open Access | Times Cited: 1
Identification of Waterlogging-Prone Areas in Nanning from the Perspective of Urban Expansion
Juan Huang, Jiangfeng Li, Zhi Huang
Sustainability (2023) Vol. 15, Iss. 20, pp. 15095-15095
Open Access | Times Cited: 1
Improved UNet for Semantic Segmentation in Remote Sensing
Abdelaadim Khriss, Aissa Kerkour Elmiad, Mohammed Badaoui
Algorithms for intelligent systems (2024), pp. 201-211
Closed Access
Synergistic Assessment of Multi-Scenario Urban Flooding Vulnerability Through Data-Driven Decoupling Analysis: A Case Study in Shenzhen, China
Shiqi Zhou, Weiyi Jia, Mo Wang, et al.
(2023)
Closed Access
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