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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:

Optimal Domain Scale for Stochastic Urban Flood Damage Assessment Considering Triple Spatial Uncertainties
Hong Lv, Zening Wu, Yu Meng, et al.
Water Resources Research (2022) Vol. 58, Iss. 7
Closed Access | Times Cited: 18

Showing 18 citing articles:

BK-SWMM flood simulation framework is being proposed for urban storm flood modeling based on uncertainty parameter crowdsourcing data from a single functional region
Chengshuai Liu, Wenzhong Li, Chenchen Zhao, et al.
Journal of Environmental Management (2023) Vol. 344, pp. 118482-118482
Closed Access | Times Cited: 27
Threshold and real-time initiation mechanism of urban flood emergency response under combined disaster scenarios
Yihong Zhou, Zening Wu, Qiuhua Liang, et al.
Sustainable Cities and Society (2024) Vol. 108, pp. 105512-105512
Closed Access | Times Cited: 9
Can the 2D shallow water equations model flow intrusion into buildings during urban floods?
Benjamin Dewals, Vasileios Kitsikoudis, Miguel Angel Mejía‐Morales, et al.
Journal of Hydrology (2023) Vol. 619, pp. 129231-129231
Open Access | Times Cited: 22
A study on siting of emergency shelters for dam failure floods considering population distribution and weather effects
Yutie Jiao, Zongkun Li, Wei Ge, et al.
The Science of The Total Environment (2024) Vol. 914, pp. 169901-169901
Closed Access | Times Cited: 8
Research on machine learning hybrid framework by coupling grid-based runoff generation model and runoff process vectorization for flood forecasting
Chengshuai Liu, Tianning Xie, Wenzhong Li, et al.
Journal of Environmental Management (2024) Vol. 364, pp. 121466-121466
Closed Access | Times Cited: 6
A framework for amplification flood risk assessment and threshold determination of combined rainfall and river level in an inland city
Wanjie Xue, Zening Wu, Hongshi Xu, et al.
Journal of Hydrology (2024) Vol. 640, pp. 131725-131725
Closed Access | Times Cited: 5
Study on the response analysis of LID hydrological process to rainfall pattern based on framework for dynamic simulation of urban floods
Chengshuai Liu, Tianning Xie, Qiying Yu, et al.
Journal of Environmental Management (2024) Vol. 351, pp. 119953-119953
Closed Access | Times Cited: 4
The application of integrating comprehensive evaluation and clustering algorithms weighted by maximal information coefficient for urban flood susceptibility
Hongfa Wang, Yu Meng, Huiliang Wang, et al.
Journal of Environmental Management (2023) Vol. 344, pp. 118846-118846
Closed Access | Times Cited: 10
Assessing Large Multimodal Models for Urban Floodwater Depth Estimation
Heng Lyu, Shunan Zhou, Ze Wang, et al.
Water Resources Research (2025) Vol. 61, Iss. 4
Open Access
Automatic Calibration Framework of SWMM Parameters Based on SSA-Optimized BP Neural Network
Shuichang Liu, Zhihao Xue, Xin Chen, et al.
Journal of Sustainable Water in the Built Environment (2025) Vol. 11, Iss. 3
Closed Access
2D and 3D Computational Modeling of Surface Flooding in Urbanized Floodplains: Modeling Performance for Various Building Layouts
Xuefang Li, Guilhem Dellinger, Sébastien Erpicum, et al.
Water Resources Research (2024) Vol. 60, Iss. 5
Open Access | Times Cited: 3
Analyzing the spatial scale effects of urban elements on urban flooding based on multiscale geographically weighted regression
Meimei Wu, X.-N. Wei, Wei Ge, et al.
Journal of Hydrology (2024), pp. 132178-132178
Closed Access | Times Cited: 2
Risk Identification of Mountain Torrent Hazard Using Machine Learning and Bayesian Model Averaging Techniques
Ya Chu, Weifeng Song, Dongbin Chen
Water (2024) Vol. 16, Iss. 11, pp. 1556-1556
Open Access | Times Cited: 1
Multi-attribute diagnosis of urban flood-bearing bodies based on integrated learning with Stacking–GPR–QPSO coupling
Hong Lv, Zening Wu, Xiaokang Zheng, et al.
Journal of Hydrology (2024), pp. 132222-132222
Closed Access | Times Cited: 1
A Method for Assessing Flood Vulnerability Based on Vulnerability Curves and Online Data of Residential Buildings—A Case Study of Shanghai
Zhuoxun Li, Liangxu Wang, Ju Shen, et al.
Water (2022) Vol. 14, Iss. 18, pp. 2840-2840
Open Access | Times Cited: 5
Urban flood-bearing vulnerability evaluation based on the moment estimate weighting and improved gray target model
Dengming Yan, Liu Su, Simin Liu, et al.
Water Science & Technology (2024) Vol. 90, Iss. 3, pp. 935-950
Closed Access
Quantifying risk contagion of fluvial flood disaster chain
Wensheng Zhang, J. H. Li, Limin Zhang, et al.
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2024), pp. 1-15
Closed Access
Emerging strategies for addressing flood-damage modeling issues: A review
Sergio Andrés Redondo Tilano, Marie‐Amélie Boucher, Jay Lacey
International Journal of Disaster Risk Reduction (2024), pp. 105058-105058
Open Access
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