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:

Artificial intelligence in the water domain: Opportunities for responsible use
Neelke Doorn
The Science of The Total Environment (2020) Vol. 755, pp. 142561-142561
Open Access | Times Cited: 92

Showing 1-25 of 92 citing articles:

AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
Yassine Himeur, Mariam Elnour, Fodil Fadli, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 6, pp. 4929-5021
Open Access | Times Cited: 257

Deploying artificial intelligence for climate change adaptation
Walter Leal Filho, Tony Wall, Serafino Afonso Rui Mucova, et al.
Technological Forecasting and Social Change (2022) Vol. 180, pp. 121662-121662
Open Access | Times Cited: 137

Environmental contamination in a high-income country (France) by antibiotics, antibiotic-resistant bacteria, and antibiotic resistance genes: Status and possible causes
Marisa Haenni, Christophe Dagot, O. Chesneau, et al.
Environment International (2021) Vol. 159, pp. 107047-107047
Open Access | Times Cited: 126

Towards a smart water city: A comprehensive review of applications, data requirements, and communication technologies for integrated management
Martin Oberascher, Wolfgang Rauch, Robert Sitzenfrei
Sustainable Cities and Society (2021) Vol. 76, pp. 103442-103442
Open Access | Times Cited: 113

Decarbonization in waste recycling industry using digitalization to promote net-zero emissions and its implications on sustainability
Tonni Agustiono Kurniawan, Mohd Hafiz Dzarfan Othman, Xue Liang, et al.
Journal of Environmental Management (2023) Vol. 338, pp. 117765-117765
Closed Access | Times Cited: 94

Machine Learning‐Based Surrogate Modeling for Urban Water Networks: Review and Future Research Directions
Alexander Garzón, Zoran Kapelan, Jeroen Langeveld, et al.
Water Resources Research (2022) Vol. 58, Iss. 5
Open 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: 69

A holistic review on how artificial intelligence has redefined water treatment and seawater desalination processes
Saikat Sinha Ray, Rohit Kumar Verma, Ashutosh Singh, et al.
Desalination (2022) Vol. 546, pp. 116221-116221
Closed Access | Times Cited: 68

Recent applications of AI to environmental disciplines: A review
A Kónya, Peyman Nematzadeh
The Science of The Total Environment (2023) Vol. 906, pp. 167705-167705
Closed Access | Times Cited: 57

The role of artificial intelligence and digital technologies in dam engineering: Narrative review and outlook
Mohammad Amin Hariri‐Ardebili, Golsa Mahdavi, Larry K. Nuss, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106813-106813
Closed Access | Times Cited: 44

Green and sustainable AI research: an integrated thematic and topic modeling analysis
Raghu Raman, Debidutta Pattnaik, Hiran H. Lathabai, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 23

Applications of computational chemistry, artificial intelligence, and machine learning in aquatic chemistry research
Lei He, Lu Bai, Dionysios D. Dionysiou, et al.
Chemical Engineering Journal (2021) Vol. 426, pp. 131810-131810
Closed Access | Times Cited: 68

Towards Synoptic Water Monitoring Systems: A Review of AI Methods for Automating Water Body Detection and Water Quality Monitoring Using Remote Sensing
Liping Yang, Joshua Driscol, Sarigai Sarigai, et al.
Sensors (2022) Vol. 22, Iss. 6, pp. 2416-2416
Open Access | Times Cited: 57

Why we need to focus on developing ethical, responsible, and trustworthy artificial intelligence approaches for environmental science
Amy McGovern, Imme Ebert‐Uphoff, David John Gagne, et al.
Environmental Data Science (2022) Vol. 1
Open Access | Times Cited: 57

Sustainable circularity and intelligent data-driven operations and control of the wastewater treatment plant
Anthony Njuguna Matheri, Mohamed Belaid, Freeman Ntuli, et al.
Physics and Chemistry of the Earth Parts A/B/C (2022) Vol. 126, pp. 103152-103152
Closed Access | Times Cited: 46

Using Artificial Intelligence for Space Challenges: A Survey
Antonia Russo, Gianluca Lax
Applied Sciences (2022) Vol. 12, Iss. 10, pp. 5106-5106
Open Access | Times Cited: 43

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: 31

When Service Quality is Enhanced by Human–Artificial Intelligence Interaction: An Examination of Anthropomorphism, Responsiveness from the Perspectives of Employees and Customers
Hui Zhang, Ali Nawaz Khan, Chenglong Zhang, et al.
International Journal of Human-Computer Interaction (2023) Vol. 40, Iss. 22, pp. 7546-7561
Closed Access | Times Cited: 30

Data-driven surrogate modeling: Introducing spatial lag to consider spatial autocorrelation of flooding within urban drainage systems
Heng Li, Chunxiao Zhang, Min Chen, et al.
Environmental Modelling & Software (2023) Vol. 161, pp. 105623-105623
Open Access | Times Cited: 28

A review of operational control strategies in water supply systems for energy and cost efficiency
Ana Reis, Marta A. R. Lopes, A. Andrade‐Campos, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 175, pp. 113140-113140
Closed Access | Times Cited: 26

Digital water: artificial intelligence and soft computing applications for drinking water quality assessment
Gyan Chhipi‐Shrestha, Haroon R. Mian, Saeed Mohammadiun, et al.
Clean Technologies and Environmental Policy (2023) Vol. 25, Iss. 5, pp. 1409-1438
Closed Access | Times Cited: 24

Detection of unauthorized consumption in water supply systems: A case study using logistic regression
Kairo Pereira Teodoro da Silva, Andreza Kalbusch, Elisa Henning
Utilities Policy (2023) Vol. 84, pp. 101647-101647
Open Access | Times Cited: 21

Artificial Intelligence in the Public Sector - a Research Agenda
Bernd W. Wirtz, Paul F. Langer, Carolina Fenner
International Journal of Public Administration (2021) Vol. 44, Iss. 13, pp. 1103-1128
Closed Access | Times Cited: 54

AI in drug development: a multidisciplinary perspective
Víctor Gallego, Roi Naveiro, Carlos Roca, et al.
Molecular Diversity (2021) Vol. 25, Iss. 3, pp. 1461-1479
Open Access | Times Cited: 45

Towards Responsible Urban Geospatial AI: Insights From the White and Grey Literatures
Raveena Marasinghe, Tan Yiğitcanlar, Severine Mayere, et al.
Journal of Geovisualization and Spatial Analysis (2024) Vol. 8, Iss. 2
Open Access | Times Cited: 6

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