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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:

Short term water demand forecast modelling using artificial intelligence for smart water management
M Kavya, Aneesh Mathew, Padala Raja Shekar, et al.
Sustainable Cities and Society (2023) Vol. 95, pp. 104610-104610
Closed Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Artificial intelligence and sustainable development during urbanization: Perspectives on AI R&D innovation, AI infrastructure, and AI market advantage
Qiang Wang, Fuyu Zhang, Rongrong Li
Sustainable Development (2024)
Open Access | Times Cited: 31
Efficient real-time cost optimization of a two-layer electric water heater system under model uncertainties
Saida El Bakali, Hamid Ouadi, Saad Gheouany
Energy Conversion and Management (2024) Vol. 304, pp. 118190-118190
Closed Access | Times Cited: 15
Revealing the urban heat Island: Investigating spatiotemporal surface temperature dynamics, modeling, and interactions with controllable and non-controllable factors
Aneesh Mathew, K. S. Arunab, Atul Sharma
Remote Sensing Applications Society and Environment (2024) Vol. 35, pp. 101219-101219
Closed Access | Times Cited: 9
A state-of-the-art review of long short-term memory models with applications in hydrology and water resources
Zhong-kai Feng, J. Zhang, Wen-jing Niu
Applied Soft Computing (2024), pp. 112352-112352
Closed Access | Times Cited: 9
Multi-step Ahead Urban Water Demand Forecasting Using Deep Learning Models
Bibhuti Bhusan Sahoo, Banamali Panigrahi, Trushnamayee Nanda, et al.
SN Computer Science (2023) Vol. 4, Iss. 6
Closed Access | Times Cited: 20
Electric Water Boiler Energy Prediction: State-of-the-Art Review of Influencing Factors, Techniques, and Future Directions
Ibrahim Ali Kachalla, Christian Ghiaus
Energies (2024) Vol. 17, Iss. 2, pp. 443-443
Open Access | Times Cited: 7
Artificial intelligence to optimize water consumption in agriculture: A predictive algorithm-based irrigation management system
Luca Preite, Giuseppe Vignali
Computers and Electronics in Agriculture (2024) Vol. 223, pp. 109126-109126
Open Access | Times Cited: 7
Flow forecasting for leakage burst prediction in water distribution systems using long short-term memory neural networks and Kalman filtering
Lauren McMillan, Jawad Fayaz, Liz Varga
Sustainable Cities and Society (2023) Vol. 99, pp. 104934-104934
Open Access | Times Cited: 15
Deep learning in water protection of resources, environment, and ecology: achievement and challenges
Xiaohua Fu, Jie Jiang, Xie Wu, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 10, pp. 14503-14536
Closed 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
Comparative Analysis of Artificial Intelligence Methods for Streamflow Forecasting
Wei Yaxing, Huzaifa Hashim, Sai Hin Lai, et al.
IEEE Access (2024) Vol. 12, pp. 10865-10885
Open Access | Times Cited: 5
Medium-term water consumption forecasting based on deep neural networks
Adrián Gil Gamboa, Pilar Paneque, Óscar Trull, et al.
Expert Systems with Applications (2024) Vol. 247, pp. 123234-123234
Open Access | Times Cited: 5
Integrating Digital Twins and Artificial Intelligence Multi-Modal Transformers into Water Resource Management: Overview and Advanced Predictive Framework
Toqeer Ali Syed, Muhammad S. Khan, Salman Jan, et al.
AI (2024) Vol. 5, Iss. 4, pp. 1977-2017
Open Access | Times Cited: 5
Explainable Artificial Intelligence for Reliable Water Demand Forecasting to Increase Trust in Predictions
Claudia Maußner, Martin Oberascher, Arnold Autengruber, et al.
Water Research (2024) Vol. 268, pp. 122779-122779
Closed Access | Times Cited: 5
Optimal cost predictive BMS considering greywater recycling, responsive HVAC, and energy storage
Ahmed R. El Shamy, Ameena Saad Al‐Sumaiti
Applied Energy (2024) Vol. 377, pp. 124589-124589
Open Access | Times Cited: 4
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: 4
Uncertainty-Based Industrial Water Supply and Demand Balance Pattern Recognition: A Case Study in the Yellow River Basin of Gansu Province, China
Mingyue Ma, Junying Chu, Zuhao Zhou, et al.
Sustainability (2025) Vol. 17, Iss. 2, pp. 693-693
Open Access
Predicting the urban water demand by equipping intelligent-based methods with discrete wavelet transform function
Mohammad Reza Alikhani, Ramtin Moeini
Applied Water Science (2025) Vol. 15, Iss. 2
Open Access
A Case Study on Water Demand Forecasting in a Coastal Tourist City
Antoniel Kleber Stefaniak, Pablo Andretta Jaskowiak, Lucas Weihmann
Lecture notes in computer science (2025), pp. 3-17
Closed Access
Robust adaptive optimization for sustainable water demand prediction in water distribution systems
Ke Wang, Jiayang Meng, Zhangquan Wang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
The risks of oversizing domestic water piping – Measurement of peak flows in multistory residential buildings
Jesper Kragh, Jørgen Rose, Leon Buhl
Building Services Engineering Research and Technology (2025)
Closed Access
Machine learning-driven analysis of agro-climatic data for temperature modeling and forecasting in Philippine urban areas
Jamlech Iram Gojo Cruz, Jessica Mercedes Villón Vera, Karl Ezra Pilario
Urban Climate (2025) Vol. 60, pp. 102339-102339
Closed Access
Exploring Future Pathways of Sectoral Water Use in Canada at a Subnational Scale Using Gcam-Canada
Osama Younis, Evan Davies, Diego V. Chiappori, et al.
(2025)
Closed Access
Reliable Short Term Water Demand Forecast Using Machine Learning—Part 1
Waleed Eldamaty, Mohammed Abdallah, Khalid Al Zaabi
Water science and technology library (2025), pp. 511-523
Closed Access
Intelligent Methods of Operational Response to Accidents in Urban Water Supply Systems Based on LSTM Neural Network Models
Aliaksei Kapanski, Nadzeya Hruntovich, Roman V. Klyuev, et al.
Smart Cities (2025) Vol. 8, Iss. 2, pp. 59-59
Open Access
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