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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:

Urban waterlogging susceptibility assessment based on hybrid ensemble machine learning models: A case study in the metropolitan area in Beijing, China
Mingqi Yan, Jiarui Yang, Xiaoyong Ni, et al.
Journal of Hydrology (2024) Vol. 630, pp. 130695-130695
Closed Access | Times Cited: 12

Showing 12 citing articles:

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
Integrating machine learning with the Minimum Cumulative Resistance Model to assess the impact of urban land use on road waterlogging risk
Xiaotian Qi, Soon‐Thiam Khu, Pei Yu, et al.
Journal of Hydrology (2025), pp. 132842-132842
Closed Access
Water-heat-carbon nexus for understanding mechanisms and response thresholds across urbanization gradients
Kaiping Wang, Chenxing Wang, Jingran Gao, et al.
Geography and sustainability (2025), pp. 100283-100283
Open Access
Formation Mechanism and Response Strategies for Urban Waterlogging: A Comprehensive Review
Y. Nie, Junhao Chen, X. Xiong, et al.
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 3037-3037
Open Access
Estimate the Coastal Flood Prone Zone From the Past Events in Tamilnadu and Kerala
Dinagarapandi Pandi, Meyyappan Palaniappan, M. Pallikonda Rajasekaran
Applied and Environmental Soil Science (2025) Vol. 2025, Iss. 1
Open Access
A comparative study on urban waterlogging susceptibility assessment based on multiple data-driven models
Feifei Han, Jingshan Yu, Guihuan Zhou, et al.
Journal of Environmental Management (2024) Vol. 360, pp. 121166-121166
Closed Access | Times Cited: 3
Method for analyzing urban waterlogging mechanisms based on a 1D-2D water environment dynamic bidirectional coupling model
Guangxue Luan, Jingming Hou, Tian Wang, et al.
Journal of Environmental Management (2024) Vol. 360, pp. 121024-121024
Closed Access | Times Cited: 1
Analyzing the Mitigation Effect of Urban River Channel Flood Diversion on Waterlogging Disasters Based on Deep Learning
Qingzhen Sun, Dehua Zhu, Zhaoyang Zhang, et al.
Water (2024) Vol. 16, Iss. 13, pp. 1771-1771
Open Access | Times Cited: 1
Assessment of urban flood susceptibility based on a novel integrated machine learning method
Haidong Yang, Ting Zou, Biyu Liu
Environmental Monitoring and Assessment (2024) Vol. 197, Iss. 1
Closed Access | Times Cited: 1
Transformative Education Curriculum: Developing Nahdlatul Wathan Warriors in Maulana II's Era
Muhammad Thohri, Harapandi
Cendekia Jurnal Kependidikan dan Kemasyarakatan (2024) Vol. 22, Iss. 1
Open Access
Advances in weather and climate extreme studies: a systematic comparative review
Kamil Muhammad Kafi, Zakiah Ponrahono
Discover Geoscience (2024) Vol. 2, Iss. 1
Open Access
Assessing the influence of green space morphological spatial pattern on urban waterlogging: A case study of a highly-urbanized city
Wenli Zhang, Suixuan Qiu, Zhuochun Lin, et al.
Environmental Research (2024), pp. 120561-120561
Closed Access
City scale urban flooding risk assessment using multi-source data and machine learning approach
Wei Qing, Huijin Zhang, Yongqi Chen, et al.
Journal of Hydrology (2024), pp. 132626-132626
Closed Access
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