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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:

Depth prediction of urban flood under different rainfall return periods based on deep learning and data warehouse
Zening Wu, Yihong Zhou, Huiliang Wang, et al.
The Science of The Total Environment (2020) Vol. 716, pp. 137077-137077
Closed Access | Times Cited: 177

Showing 26-50 of 177 citing articles:

Deep Learning Algorithms and Multicriteria Decision-Making Used in Big Data: A Systematic Literature Review
Mei Yang, Shah Nazir, Qingshan Xu, et al.
Complexity (2020) Vol. 2020, pp. 1-18
Open Access | Times Cited: 49
Propagation of variability in climate projections within urban flood modelling: A multi-purpose impact analysis
Roberta Padulano, Guido Rianna, Pierfranco Costabile, et al.
Journal of Hydrology (2021) Vol. 602, pp. 126756-126756
Closed Access | Times Cited: 49
Urban flood response analysis for designed rainstorms with different characteristics based on a tracer-aided modeling simulation
Wenchao Qi, Chao Ma, Hongshi Xu, et al.
Journal of Cleaner Production (2022) Vol. 355, pp. 131797-131797
Closed Access | Times Cited: 32
Rethinking urban storm water management through resilience – The case for using green infrastructure in our warming world
Suresh Hettiarachchi, Conrad Wasko, Ashish Sharma
Cities (2022) Vol. 128, pp. 103789-103789
Open Access | Times Cited: 28
Numerical simulation study of urban hydrological effects under low impact development with a physical experimental basis
Lidong Zhao, Ting Zhang, Jianzhu Li, et al.
Journal of Hydrology (2023) Vol. 618, pp. 129191-129191
Closed Access | Times Cited: 21
Prediction of monthly precipitation using various artificial models and comparison with mathematical models
Youssef Kassem, Hüseyin Gökçekuş, Almonsef Alhadi Salem Mosbah
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 14, pp. 41209-41235
Closed Access | Times Cited: 18
Identification of urban waterlogging indicators and risk assessment based on MaxEnt Model: A case study of Tianjin Downtown
Hanyan Li, Qiao Wang, Muhan Li, et al.
Ecological Indicators (2023) Vol. 158, pp. 111354-111354
Open Access | Times Cited: 18
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
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: 6
Development of objective function-based ensemble model for streamflow forecasts
Yongen Lin, Dagang Wang, Jinxin Zhu, et al.
Journal of Hydrology (2024) Vol. 632, pp. 130861-130861
Closed Access | Times Cited: 5
Data-driven urban configuration optimization: An XGBoost-based approach for mitigating flood susceptibility and enhancing economic contribution
Haojun Yuan, Mo Wang, Dongqing Zhang, et al.
Ecological Indicators (2024) Vol. 166, pp. 112247-112247
Open Access | Times Cited: 5
A Knowledge-Enhanced Framework for Urban Waterlogging Prediction Based on Informed Similarity Transfer and Hybrid Spatio-Temporal Model
Delin Meng, Zongjia Zhang, Lili Yang
International Journal of Disaster Risk Reduction (2025) Vol. 117, pp. 105177-105177
Closed Access
Using Explainable Artificial Intelligence (Xai) to Understand Compound Flooding Arising from Rainstorms and Tides
Chengguang Lai, Yuhong Liao, Zhaoli Wang, et al.
(2025)
Closed Access
A Two-Level Early Warning System on Urban Floods Caused by Rainstorm
Qian Gu, Fuxin Chai, Wenbin Zang, et al.
Sustainability (2025) Vol. 17, Iss. 5, pp. 2147-2147
Open Access
Flood Peak Prediction of Three Gorges Reservoir in China: Evidence from Artificial Intelligence and Observation Data
Xiaopeng Wang, Hongpeng Hua, Fanwei Meng, et al.
Journal of Hydrologic Engineering (2025) Vol. 30, Iss. 3
Closed Access
Flood Prediction in an Ungauged Watershed: A Case Study of the Naengcheon Watershed, Korea
Minyeob Jeong, Hyun Seung Kim, Dae‐Hong Kim
KSCE Journal of Civil Engineering (2025), pp. 100229-100229
Open Access
A novel spatiotemporal multi-attribute method for assessing flood risks in urban spaces under climate change and demographic scenarios
Lucas Borges Leal da Silva, Marcelo Hazin Alencar, Adiel Teixeira de Almeida
Sustainable Cities and Society (2021) Vol. 76, pp. 103501-103501
Closed Access | Times Cited: 39
Assessing urban pluvial flood resilience based on a novel grid-based quantification method that considers human risk perceptions
Jialei Chen, Wenjie Chen, Guoru Huang
Journal of Hydrology (2021) Vol. 601, pp. 126601-126601
Closed Access | Times Cited: 37
Using deep learning for precipitation forecasting based on spatio-temporal information: a case study
Weide Li, Xi Gao, Zihan Hao, et al.
Climate Dynamics (2021) Vol. 58, Iss. 1-2, pp. 443-457
Closed Access | Times Cited: 37
Investigating the thermal performance of green wall: Experimental analysis, deep learning model, and simulation studies in a humid climate
Abdollah Baghaei Daemei, Elham Shafiee, Amir Arash Chitgar, et al.
Building and Environment (2021) Vol. 205, pp. 108201-108201
Closed Access | Times Cited: 35
Identification of Sensitive Parameters of Urban Flood Model Based on Artificial Neural Network
Zening Wu, Bingyan Ma, Huiliang Wang, et al.
Water Resources Management (2021) Vol. 35, Iss. 7, pp. 2115-2128
Closed Access | Times Cited: 33
Integrated dynamic framework for predicting urban flooding and providing early warning
Yihong Zhou, Zening Wu, Hongshi Xu, et al.
Journal of Hydrology (2023) Vol. 618, pp. 129205-129205
Closed Access | Times Cited: 15
Adaptive selection and optimal combination scheme of candidate models for real-time integrated prediction of urban flood
Yihong Zhou, Zening Wu, Hongshi Xu, et al.
Journal of Hydrology (2023) Vol. 626, pp. 130152-130152
Closed Access | Times Cited: 13
Multi-Source Data Fusion and Hydrodynamics for Urban Waterlogging Risk Identification
Zongjia Zhang, Yiping Zeng, Zhejun Huang, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 3, pp. 2528-2528
Open Access | Times Cited: 12
A novel multi-strategy hydrological feature extraction (MHFE) method to improve urban waterlogging risk prediction, a case study of Fuzhou City in China
Haocheng Huang, Xiaohui Lei, Weihong Liao, et al.
The Science of The Total Environment (2023) Vol. 904, pp. 165834-165834
Closed Access | Times Cited: 12

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