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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 Rapid Prediction Model of Urban Flood Inundation in a High-Risk Area Coupling Machine Learning and Numerical Simulation Approaches
Xingyu Yan, Kui Xu, Wenqiang Feng, et al.
International Journal of Disaster Risk Science (2021) Vol. 12, Iss. 6, pp. 903-918
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Fast simulation and prediction of urban pluvial floods using a deep convolutional neural network model
Yaoxing Liao, Zhaoli Wang, Xiaohong Chen, et al.
Journal of Hydrology (2023) Vol. 624, pp. 129945-129945
Closed Access | Times Cited: 67
Adapting cities to the surge: A comprehensive review of climate-induced urban flooding
Gangani Dharmarathne, Anushka Osadhi Waduge, Madhusha Bogahawaththa, et al.
Results in Engineering (2024) Vol. 22, pp. 102123-102123
Open Access | Times Cited: 42
Mapping Compound Flooding Risks for Urban Resilience in Coastal Zones: A Comprehensive Methodological Review
Hai Sun, Xiaowei Zhang, Xuejing Ruan, et al.
Remote Sensing (2024) Vol. 16, Iss. 2, pp. 350-350
Open Access | Times Cited: 12
Tool for fast assessment of stormwater flood volumes for urban catchment: A machine learning approach
Bartosz Szeląg, Dariusz Majerek, Anna Laura Eusebi, et al.
Journal of Environmental Management (2024) Vol. 355, pp. 120214-120214
Closed Access | Times Cited: 11
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
Urban Flood-Related Remote Sensing: Research Trends, Gaps and Opportunities
Wei Zhu, Zhe Cao, Pingping Luo, et al.
Remote Sensing (2022) Vol. 14, Iss. 21, pp. 5505-5505
Open Access | Times Cited: 32
An Effective Approach for Automatic River Features Extraction Using High-Resolution UAV Imagery
Marco La Salandra, Rosa Colacicco, Pierfrancesco Dellino, et al.
Drones (2023) Vol. 7, Iss. 2, pp. 70-70
Open Access | Times Cited: 21
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: 6
Using Machine Learning to Identify and Optimize Sensitive Parameters in Urban Flood Model Considering Subsurface Characteristics
Hengxu Jin, Zhao Yu, Pengcheng Lu, et al.
International Journal of Disaster Risk Science (2024) Vol. 15, Iss. 1, pp. 116-133
Open Access | Times Cited: 4
Quantitative risk assessment of rainstorm-induced flood disaster in Piedmont plain of Pakistan
Ming Chang, Kunying Zhou, Xiangyang Dou, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Explainable Artificial Intelligence for Sustainable Urban Water Systems Engineering
Shofia Saghya Infant, A.S. Vickram, A. Saravanan, et al.
Results in Engineering (2025), pp. 104349-104349
Open Access
SPATIALLY EXPLICIT MACHINE LEARNING MODEL FOR FLOOD INUNDATION AUGMENTED WITH HYDRODYNAMIC MODELING
Kexin LIU, Ryosuke AKOH, Tomoki TAKUNO, et al.
Journal of JSCE (2025) Vol. 13, Iss. 2, pp. n/a-n/a
Open Access
Generalization of an intelligent real-time flood prediction model based on CBT-BLSTM-RPA and QRGP-WGAN: A perspective considering the effect of drainage pipeline siltation
Danyang Di, Hongyuan Fang, Guangxin Liu, et al.
Journal of Hydrology (2025), pp. 132892-132892
Closed Access
A surrogate machine learning modeling approach for enhancing the efficiency of urban flood modeling at metropolitan scales
Fatemeh Rezaei Aderyani, Keighobad Jafarzadegan, Hamid Moradkhani
Sustainable Cities and Society (2025) Vol. 123, pp. 106277-106277
Closed Access
Mapping of City Development and Urban Flooding Using Deep Learning Model for Chennai City Study Area
P. Senthilkumar, Menaka Pushpa Arthur
Lecture notes in electrical engineering (2025), pp. 71-84
Closed Access
Impacts of rainstorm characteristics on flood inundation mitigation performance of LID measures throughout an urban catchment
Zhengmo Zhou, Qiongfang Li, Pengfei He, et al.
Journal of Hydrology (2023) Vol. 624, pp. 129841-129841
Closed Access | Times Cited: 12
Two-dimensional convolutional neural network outperforms other machine learning architectures for water depth surrogate modeling
Xiaohui Yan, Abdolmajid Mohammadian, Ruigui Ao, et al.
Journal of Hydrology (2022) Vol. 616, pp. 128812-128812
Closed Access | Times Cited: 18
Spatio-temporal cross-validation to predict pluvial flood events in the Metropolitan City of Venice
Marco Zanetti, Allegri Elena, Anna Sperotto, et al.
Journal of Hydrology (2022) Vol. 612, pp. 128150-128150
Closed Access | Times Cited: 16
Providing solutions for data scarcity in urban flood modeling through sensitivity analysis and DEM modifications
Lea Dasallas, Hyunuk An, Seungsoo Lee
Journal of Hydroinformatics (2024) Vol. 26, Iss. 2, pp. 459-479
Open Access | Times Cited: 3
Urban waterlogging prediction and risk analysis based on rainfall time series features: A case study of Shenzhen
Zongjia Zhang, Xinyao Jian, Yiye Chen, et al.
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 7
Short-duration prediction of urban storm-water levels using the residual-error ensemble correction technique
Wen‐Dar Guo, Wei‐Bo Chen
Journal of Hydroinformatics (2024) Vol. 26, Iss. 7, pp. 1505-1533
Open Access | Times Cited: 2
Effects of Flooding on Roadways through Simulation-Traffic Integrated Vulnerability Modeling
Yangtian Yin, Kunhee Choi, Yong-Cheol Lee, et al.
Natural Hazards Review (2024) Vol. 25, Iss. 3
Closed Access | Times Cited: 2
Climate change impact on the compound flood risk in a coastal city
Kui Xu, Chenyue Wang, Lingling Bin, et al.
Journal of Hydrology (2023) Vol. 626, pp. 130237-130237
Closed Access | Times Cited: 6
Real-time urban flood modeling: exploring the sub-grid approach for accurate simulation and hazard analysis
R. Reshma, N. Nithila Devi, Soumendra Nath Kuiry
Natural Hazards (2024) Vol. 120, Iss. 11, pp. 9609-9647
Closed Access | Times Cited: 1
Flash Flood Risk Assessment in the Asir Region, Southwestern Saudi Arabia, Using a Physically-Based Distributed Hydrological Model and GPM IMERG Satellite Rainfall Data
Abdelrahim Salih, Abdalhaleem Hassablla
Atmosphere (2024) Vol. 15, Iss. 6, pp. 624-624
Open Access | Times Cited: 1
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