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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:

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: 72

Showing 1-25 of 72 citing articles:

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
Flowing Futures: Innovations in WASH for Sustainable Water, Sanitation, and Hygiene
G. Mahesh Kumar, Prateek Chaturvedi, A. Kakoli Rao, et al.
E3S Web of Conferences (2023) Vol. 453, pp. 01040-01040
Open Access | Times Cited: 28
Digital twins: a stepping stone to achieve ocean sustainability?
Asaf Tzachor, Ofir Hendel, Catherine E. Richards
npj Ocean Sustainability (2023) Vol. 2, Iss. 1
Open Access | Times Cited: 24
Artificial intelligence underpins urban water infrastructure of the future: A holistic perspective
Guangtao Fu, Siao Sun, Lan Hoang, et al.
Cambridge Prisms Water (2023) Vol. 1
Open Access | Times Cited: 23
Human inventions and its environmental challenges, especially artificial intelligence: New challenges require new thinking
Muhammad Adnan, Baohua Xiao, Muhammad Ubaid Ali, et al.
Environmental Challenges (2024) Vol. 16, pp. 100976-100976
Open Access | Times Cited: 13
Artificial intelligence in civil engineering
Nishant Raj Kapoor, Ashok Kumar, Anuj Kumar, et al.
Elsevier eBooks (2024), pp. 1-74
Closed Access | Times Cited: 11
Optimizing wastewater treatment through artificial intelligence: recent advances and future prospects
Mudita Nagpal, Miran Ahmad Siddique, Khushi Sharma, et al.
Water Science & Technology (2024) Vol. 90, Iss. 3, pp. 731-757
Closed Access | Times Cited: 11
Making Waves: Towards data-centric water engineering
Guangtao Fu, Dragan Savić, David Butler
Water Research (2024) Vol. 256, pp. 121585-121585
Open Access | Times Cited: 7
Artificial intelligence for life sciences: A comprehensive guide and future trends
Ming Luo, Wenyu Yang, Long Bai, et al.
The Innovation Life (2024), pp. 100105-100105
Closed Access | Times Cited: 7
Artificial Intelligence for Water Consumption Assessment: State of the Art Review
Almando Morain, Nivedita Ilangovan, Christopher Delhom, et al.
Water Resources Management (2024) Vol. 38, Iss. 9, pp. 3113-3134
Open Access | Times Cited: 6
Unlocking the Potential of Artificial Intelligence for Sustainable Water Management Focusing Operational Applications
J. Drisya, Adel Bouhoula, Waleed Al-Zubari
Water (2024) Vol. 16, Iss. 22, pp. 3328-3328
Open Access | Times Cited: 6
Artificial intelligence techniques applications in the wastewater: A comprehensive review
Yahya Zakur, Fausto Pedro Garcı́a Márquez, Ali Hussein Shuaa Al-taie, et al.
E3S Web of Conferences (2025) Vol. 605, pp. 03006-03006
Open Access
Transformer Networks and Loss with Punishment for Optimized Management of Urban Water Supply System
Yuqi Wang, Hongcheng Wang, J. Chen, et al.
ACS ES&T Water (2025)
Closed Access
Real-time quantification of activated sludge concentration and viscosity through deep learning of microscopic images
Hewen Li, Yu Tao, Tiefu Xu, et al.
Environmental Science and Ecotechnology (2025), pp. 100527-100527
Open Access
Harnessing artificial intelligence to address diseases attributable to unsafe drinking water: challenges, potentials, and recommendations
Adamu Muhammad Ibrahim, Olalekan John Okesanya, Bonaventure Michael Ukoaka, et al.
Discover Water (2025) Vol. 5, Iss. 1
Open Access
The role of optimizers in developing data-driven model for predicting lake water quality incorporating advanced water quality model
Md Galal Uddin, Apoorva Bamal, Mir Talas Mahammad Diganta, et al.
Alexandria Engineering Journal (2025) Vol. 122, pp. 411-435
Closed Access
Machine learning strategy secures urban smart drinking water treatment plant through incremental advances
Yuqi Wang, Hongcheng Wang, Zijie Xiao, et al.
Water Research (2025), pp. 123541-123541
Closed Access
Navigating future wastewater treatment plants with artificial intelligence: Applications, challenges, and innovations
Xingyu Chen, Zhongfang Lei, Jo‐Shu Chang, et al.
Journal of Cleaner Production (2025), pp. 145467-145467
Closed Access
The Role of Artificial Intelligence in Sustainable Ocean Waste Tracking and Management: A Bibliometric Analysis
Mariam I. Adeoba, Thanyani Pandelani, Harry Ngwangwa, et al.
Sustainability (2025) Vol. 17, Iss. 9, pp. 3912-3912
Open Access
Multi-disciplinary strategy to optimize irrigation efficiency in irrigated agriculture
Ayman F. Batisha
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Deep learning methods for multi-horizon long-term forecasting of Harmful Algal Blooms
Silvia Martín-Suazo, Jesús Morón-López, Stanislav Vakaruk, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112279-112279
Open Access | Times Cited: 3
Machine Learning to Assess and Support Safe Drinking Water Supply: A Systematic Review
Feng Feng, Yuanxun Zhang, Zhenru Chen, et al.
Journal of environmental chemical engineering (2024), pp. 114481-114481
Closed Access | Times Cited: 3
Water Conservation
P. Selvakumar, M. S. Usha, Sonali R. Dhokpande, et al.
Advances in environmental engineering and green technologies book series (2025), pp. 269-296
Closed Access
AI Applications in Drinking-Water Management
P. Selvakumar, R. V. N. Srivastava, Sumanta Bhattacharya, et al.
IGI Global eBooks (2025), pp. 307-336
Closed Access
Deriving Water Allocation Schemes for Interbasin Water Transfer Projects Using a Novel Multiobjective Cuckoo Search Algorithm
Huayu Zhong, Tao Liao, Guohua Fang, et al.
Journal of Water Resources Planning and Management (2024) Vol. 150, Iss. 6
Closed Access | Times Cited: 2
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