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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: 68

Showing 26-50 of 68 citing articles:

Water Leak Detection: A Comprehensive Review of Methods, Challenges, and Future Directions
Elias Farah, Isam Shahrour
Water (2024) Vol. 16, Iss. 20, pp. 2975-2975
Open Access | Times Cited: 1
Machine Learning to Access and Ensure Safe Drinking Water Supply: A Systematic Review
Feng Feng, Zhenru Chen, Jianyuan Ni, et al.
(2024)
Open Access | Times Cited: 1
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: 1
Blockchain Technology and Sanitary Aspects of the Water Supply
David Josef Herzog, Nitsa Herzog
(2024)
Open Access | Times Cited: 1
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: 1
Gross primary production-coupled evapotranspiration in the global arid and semi-arid regions based on the NIRv index
Yanxin Su, Guojing Gan, Jingyi Bu, et al.
Journal of Hydrology (2024) Vol. 643, pp. 132012-132012
Closed Access | Times Cited: 1
Integrating sensor data and machine learning to advance the science and management of river carbon emissions
Lee E. Brown, Taylor Maavara, Jiangwei Zhang, et al.
Critical Reviews in Environmental Science and Technology (2024), pp. 1-24
Open Access | Times Cited: 1
Safely advancing a spacefaring humanity with artificial intelligence
Catherine E. Richards, Tom Cernev, Asaf Tzachor, et al.
Frontiers in Space Technologies (2023) Vol. 4
Open Access | Times Cited: 3
The Use of Artificial Intelligence in Water Management Projects in the Kingdom of Saudi Arabia
Sultan Ghadeer Alghadeer
American Journal of Technology (2023) Vol. 2, Iss. 1, pp. 54-65
Open Access | Times Cited: 3
Integrating sensor data and machine learning to advance the science and management of river carbon emissions
Lee E. Brown
Authorea (Authorea) (2024)
Open Access
Public Health Legal Protections in an Era of Artificial Intelligence
James G. Hodge, Jennifer L. Piatt, Erica N. White, et al.
American Journal of Public Health (2024) Vol. 114, Iss. 6, pp. 559-563
Closed Access
Editorial: Navigating uncharted waters: the risks of machine learning in the hands of non-experts
Stephen Nash
Proceedings of the Institution of Civil Engineers - Water Management (2024) Vol. 177, Iss. 6, pp. 359-360
Closed Access
The role of artificial intelligence in sustainable water management in Asia: a systematic literature review with bibliographic network visualization
Muhammad Mehedi Masud, A. S. M. Shamem, Abu Naser Mohammad Saif, et al.
International Journal of Energy and Water Resources (2024)
Closed Access
Role of Fourth Industrial Revolution (4IR) Technologies in Water, Energy, and Food (WEF) Resources
Love Opeyemi David, Clinton Aigbavboa, Nnamdi Nwulu, et al.
Green energy and technology (2024), pp. 239-286
Closed Access
Digital twinning of river basins towards full-scale, sustainable and equitable water management and disaster mitigation
Yifan Yang, Chen Xie, Ziwu Fan, et al.
npj natural hazards. (2024) Vol. 1, Iss. 1
Open Access
Deep Learning Methods for Multi-Horizon Long-Term Forecasting of Harmful Algal Blooms
Silvia Martín-Suazo, Jesús Morón-López, Stanislav Vakaruk, et al.
(2024)
Closed Access
Introduction to section 2
Ximing Cai, Zihan Zheng
Water International (2024) Vol. 49, Iss. 3-4, pp. 377-391
Closed Access
Integrating Spatial-Temporal Features into Prediction Tasks: A Novel Method for Identifying the Potential Water Pollution Area in Large River Basins
Yuqing Tian, Zhao Yanhui, Yin Zhiqiang, et al.
(2024)
Closed Access
Improving Water Efficiency in Higher Education Institutions: Contributions From the Boa Vista Campus of the Federal Institute of Roraima
Hilton Brandão Araújo, Paulo Valladares Soares, Maximilian Espuny, et al.
Revista de Gestão Social e Ambiental (2024) Vol. 18, Iss. 4, pp. e08011-e08011
Closed Access
AI-Enabled Process Optimization for Sustainable Wastewater Treatment Solutions
Payal Gupta, Garima Bhardwaj, Shivani Dubey, et al.
Springer water (2024), pp. 141-164
Closed Access
Multi-step tap-water quality forecasting in South Korea with transformer-based deep learning model
Danqi Cai, Kunwei Chen, Zhizhe Lin, et al.
Urban Water Journal (2024), pp. 1-12
Closed Access
Recommendations for Implementation of AI: Steps Toward Industry-Wide Adoption
Aditi Gaur, N.A. Pooja, Sunita Hooda, et al.
(2024), pp. 281-298
Closed Access
AI Framework for Future Water
Manish Kumar Goyal, Sachidanand Kumar, Akhilesh Gupta
SpringerBriefs in water science and technology (2024), pp. 55-67
Closed Access
Basics of AI for Water Management
Manish Kumar Goyal, Sachidanand Kumar, Akhilesh Gupta
SpringerBriefs in water science and technology (2024), pp. 1-16
Closed Access
The role of artificial intelligence in greening biogas operations
Tawanda Kunatsa
Elsevier eBooks (2024), pp. 361-397
Closed Access

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