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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:

The role of deep learning in urban water management: A critical review
Guangtao Fu, Yiwen Jin, Siao Sun, et al.
Water Research (2022) Vol. 223, pp. 118973-118973
Open Access | Times Cited: 221

Showing 1-25 of 221 citing articles:

A systematic review of industrial wastewater management: Evaluating challenges and enablers
Bikram Jit Singh, Ayon Chakraborty, Rippin Sehgal
Journal of Environmental Management (2023) Vol. 348, pp. 119230-119230
Open Access | Times Cited: 202
The latest innovative avenues for the utilization of artificial Intelligence and big data analytics in water resource management
Hesam Kamyab, Tayebeh Khademi, Shreeshivadasan Chelliapan, et al.
Results in Engineering (2023) Vol. 20, pp. 101566-101566
Open Access | Times Cited: 128
Deep learning: systematic review, models, challenges, and research directions
Tala Talaei Khoei, Hadjar Ould Slimane, Naima Kaabouch
Neural Computing and Applications (2023) Vol. 35, Iss. 31, pp. 23103-23124
Open Access | Times Cited: 122
Artificial Intelligence as a Disruptive Technology—A Systematic Literature Review
Vasile-Daniel Păvăloaia, Sabina-Cristiana Necula
Electronics (2023) Vol. 12, Iss. 5, pp. 1102-1102
Open Access | Times Cited: 113
The State of the Art in Deep Learning Applications, Challenges, and Future Prospects: A Comprehensive Review of Flood Forecasting and Management
Vijendra Kumar, Hazi Mohammad Azamathulla, Kul Vaibhav Sharma, et al.
Sustainability (2023) Vol. 15, Iss. 13, pp. 10543-10543
Open Access | Times Cited: 106
A review of physical, chemical and biological synthesis methods of bimetallic nanoparticles and applications in sensing, water treatment, biomedicine, catalysis and hydrogen storage
Anesu Nyabadza, Éanna McCarthy, Mayur A. Makhesana, et al.
Advances in Colloid and Interface Science (2023) Vol. 321, pp. 103010-103010
Open Access | Times Cited: 106
A review of hybrid deep learning applications for streamflow forecasting
Kin‐Wang Ng, Yuk Feng Huang, Chai Hoon Koo, et al.
Journal of Hydrology (2023) Vol. 625, pp. 130141-130141
Closed Access | Times Cited: 83
Rewards, risks and responsible deployment of artificial intelligence in water systems
Catherine E. Richards, Asaf Tzachor, Shahar Avin, et al.
Nature Water (2023) Vol. 1, Iss. 5, pp. 422-432
Open Access | Times Cited: 74
Deep learning in wastewater treatment: a critical review
Maira Alvi, Damien J. Batstone, Christian Kazadi Mbamba, et al.
Water Research (2023) Vol. 245, pp. 120518-120518
Open Access | Times Cited: 72
Understanding of Convolutional Neural Network (CNN): A Review
Purwono Purwono, Alfian Ma’arif, Wahyu Rahmaniar, et al.
International Journal of Robotics and Control Systems (2023) Vol. 2, Iss. 4, pp. 739-748
Open Access | Times Cited: 52
Machine learning framework for intelligent aeration control in wastewater treatment plants: Automatic feature engineering based on variation sliding layer
Yuqi Wang, Hongcheng Wang, Yunpeng Song, et al.
Water Research (2023) Vol. 246, pp. 120676-120676
Closed Access | Times Cited: 44
Leveraging generative AI for urban digital twins: a scoping review on the autonomous generation of urban data, scenarios, designs, and 3D city models for smart city advancement
Haowen Xu, Olufemi A. Omitaomu, Soheil Sabri, et al.
Urban Informatics (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 25
Artificial intelligence: A key fulcrum for addressing complex environmental health issues
Lei Huang, Qiannan Duan, Yuxin Liu, et al.
Environment International (2025), pp. 109389-109389
Open Access | Times Cited: 4
Current Status of Emerging Contaminant Models and Their Applications Concerning the Aquatic Environment: A Review
Zhuang Liu, Yonghai Gan, Jun Luo, et al.
Water (2025) Vol. 17, Iss. 1, pp. 85-85
Open Access | Times Cited: 3
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 | Times Cited: 2
Barriers to artificial intelligence adoption in smart cities: A systematic literature review and research agenda
Amal Ben Rjab, Sehl Mellouli, Jacqueline Corbett
Government Information Quarterly (2023) Vol. 40, Iss. 3, pp. 101814-101814
Closed Access | Times Cited: 43
A Review of Computational Modeling in Wastewater Treatment Processes
M. Salomé Duarte, Gilberto Martins, Pedro Oliveira, et al.
ACS ES&T Water (2023) Vol. 4, Iss. 3, pp. 784-804
Open Access | Times Cited: 40
Real-time water quality prediction in water distribution networks using graph neural networks with sparse monitoring data
Zilin Li, Haixing Liu, Chi Zhang, et al.
Water Research (2023) Vol. 250, pp. 121018-121018
Closed Access | Times Cited: 40
Short-term water demand forecasting using data-centric machine learning approaches
Guoxuan Liu, Dragan Savić, Guangtao Fu
Journal of Hydroinformatics (2023) Vol. 25, Iss. 3, pp. 895-911
Open Access | Times Cited: 38
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: 34
Adoption of Artificial Intelligence in Drinking Water Operations: A Survey of Progress in the United States
Alyson H. Rapp, Annelise M. Capener, Robert B. Sowby
Journal of Water Resources Planning and Management (2023) Vol. 149, Iss. 7
Open Access | Times Cited: 32
Deep learning-assisted automated sewage pipe defect detection for urban water environment management
Lianpeng Sun, Jinjun Zhu, Jinxin Tan, et al.
The Science of The Total Environment (2023) Vol. 882, pp. 163562-163562
Closed Access | Times Cited: 24
Improving urban flood prediction using LSTM-DeepLabv3+ and Bayesian optimization with spatiotemporal feature fusion
Zuxiang Situ, Qi Wang, Shuai Teng, et al.
Journal of Hydrology (2024) Vol. 630, pp. 130743-130743
Closed Access | Times Cited: 17
A review of graph and complex network theory in water distribution networks: Mathematical foundation, application and prospects
Xipeng Yu, Yipeng Wu, Fanlin Meng, et al.
Water Research (2024) Vol. 253, pp. 121238-121238
Closed Access | Times Cited: 17
Deep reinforcement learning challenges and opportunities for urban water systems
Ahmed S. Negm, Xiandong Ma, George Aggidis
Water Research (2024) Vol. 253, pp. 121145-121145
Open Access | Times Cited: 16
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