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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 1-25 of 177 citing articles:

Machine learning for predicting greenhouse gas emissions from agricultural soils
Abderrachid Hamrani, Abdolhamid Akbarzadeh, Chandra A. Madramootoo
The Science of The Total Environment (2020) Vol. 741, pp. 140338-140338
Closed Access | Times Cited: 179
A review on applications of urban flood models in flood mitigation strategies
Wenchao Qi, Chao Ma, Hongshi Xu, et al.
Natural Hazards (2021) Vol. 108, Iss. 1, pp. 31-62
Closed Access | Times Cited: 132
Towards better flood risk management: Assessing flood risk and investigating the potential mechanism based on machine learning models
Jialei Chen, Guoru Huang, Wenjie Chen
Journal of Environmental Management (2021) Vol. 293, pp. 112810-112810
Closed Access | Times Cited: 125
A critical review of real-time modelling of flood forecasting in urban drainage systems
Farzad Piadeh, Kourosh Behzadian, Amir M. Alani
Journal of Hydrology (2022) Vol. 607, pp. 127476-127476
Open Access | Times Cited: 110
Toward an Integrated Disaster Management Approach: How Artificial Intelligence Can Boost Disaster Management
Sheikh Kamran Abid, Noralfishah Sulaiman, Shiau Wei Chan, et al.
Sustainability (2021) Vol. 13, Iss. 22, pp. 12560-12560
Open Access | Times Cited: 103
An Overview of Flood Concepts, Challenges, and Future Directions
Ashok K. Mishra, Sourav Mukherjee, Bruno Merz, et al.
Journal of Hydrologic Engineering (2022) Vol. 27, Iss. 6
Closed Access | Times Cited: 89
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: 62
Rapid Prediction Model for Urban Floods Based on a Light Gradient Boosting Machine Approach and Hydrological–Hydraulic Model
Kui Xu, Zhentao Han, Hongshi Xu, et al.
International Journal of Disaster Risk Science (2023)
Open Access | Times Cited: 40
Risk-driven composition decoupling analysis for urban flooding prediction in high-density urban areas using Bayesian-Optimized LightGBM
Shiqi Zhou, Dongqing Zhang, Mo Wang, et al.
Journal of Cleaner Production (2024) Vol. 457, pp. 142286-142286
Closed Access | Times Cited: 17
Assessment of Urban Flood Disaster Responses and Causal Analysis at Different Temporal Scales Based on Social Media Data and Machine Learning Algorithms
Qichen Guo, Sheng Jiao, Yuchen Yang, et al.
International Journal of Disaster Risk Reduction (2025) Vol. 117, pp. 105170-105170
Closed Access | Times Cited: 1
Forecasting Multi-Step-Ahead Street-Scale nuisance flooding using seq2seq LSTM surrogate model for Real-Time applications in a Coastal-Urban city
Binata Roy, Jonathan L. Goodall, Diana McSpadden, et al.
Journal of Hydrology (2025), pp. 132697-132697
Closed Access | Times Cited: 1
Prediction of spatial-temporal flood water level in agricultural fields using advanced machine learning and deep learning approaches
Adisa Hammed Akinsoji, Bashir Adelodun, Qudus Adeyi, et al.
Natural Hazards (2025)
Closed Access | Times Cited: 1
Exploring machine learning potential for climate change risk assessment
Federica Zennaro, Elisa Furlan, Christian Simeoni, et al.
Earth-Science Reviews (2021) Vol. 220, pp. 103752-103752
Closed Access | Times Cited: 73
Hydraulic modelling of inland urban flooding: Recent advances
Emmanuel Mignot, Benjamin Dewals
Journal of Hydrology (2022) Vol. 609, pp. 127763-127763
Open Access | Times Cited: 65
Impacts of building configurations on urban stormwater management at a block scale using XGBoost
Shiqi Zhou, Zhiyu Liu, Mo Wang, et al.
Sustainable Cities and Society (2022) Vol. 87, pp. 104235-104235
Closed Access | Times Cited: 63
Urban flood susceptibility mapping based on social media data in Chengdu city, China
Yao Li, Frank Osei, Tangao Hu, et al.
Sustainable Cities and Society (2022) Vol. 88, pp. 104307-104307
Open Access | Times Cited: 58
Urban storm water drainage system optimization using a sustainability index and LID/BMPs
Babak Azari, Massoud Tabesh
Sustainable Cities and Society (2021) Vol. 76, pp. 103500-103500
Closed Access | Times Cited: 55
Logging-data-driven permeability prediction in low-permeable sandstones based on machine learning with pattern visualization: A case study in Wenchang A Sag, Pearl River Mouth Basin
Xiaobo Zhao, Xiaojun Chen, Qiao Huang, et al.
Journal of Petroleum Science and Engineering (2022) Vol. 214, pp. 110517-110517
Closed Access | Times Cited: 42
Greening the city: Thriving for biodiversity and sustainability
Paulo Pereira, Francesc BarĂł
The Science of The Total Environment (2022) Vol. 817, pp. 153032-153032
Closed Access | Times Cited: 39
Urban flood risk differentiation under land use scenario simulation
Hongbo Zhao, Tianshun Gu, Junqing Tang, et al.
iScience (2023) Vol. 26, Iss. 4, pp. 106479-106479
Open Access | Times Cited: 34
High temporal resolution urban flood prediction using attention-based LSTM models
Lin Zhang, Huapeng Qin, Junqi Mao, et al.
Journal of Hydrology (2023) Vol. 620, pp. 129499-129499
Closed Access | Times Cited: 27
Novel integrated modelling based on multiplicative long short-term memory (mLSTM) deep learning model and ensemble multi-criteria decision making (MCDM) models for mapping flood risk
Aliakbar Mohammadifar, Hamid Gholami, Shahram Golzari
Journal of Environmental Management (2023) Vol. 345, pp. 118838-118838
Closed Access | Times Cited: 26
Rapid prediction of urban flood based on disaster-breeding environment clustering and Bayesian optimized deep learning model in the coastal city
Huiliang Wang, Shanlun Xu, Hongshi Xu, et al.
Sustainable Cities and Society (2023) Vol. 99, pp. 104898-104898
Closed Access | Times Cited: 26
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
Real-time rainfall and runoff prediction by integrating BC-MODWT and automatically-tuned DNNs: Comparing different deep learning models
Amirmasoud Amini, Mehri Dolatshahi, Reza Kerachian
Journal of Hydrology (2024) Vol. 631, pp. 130804-130804
Closed Access | Times Cited: 13
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