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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:

A novel deep neural network architecture for real-time water demand forecasting
Tony Salloom, Okyay Kaynak, Wei He
Journal of Hydrology (2021) Vol. 599, pp. 126353-126353
Closed Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

RR-Former: Rainfall-runoff modeling based on Transformer
Hanlin Yin, Zilong Guo, Xiuwei Zhang, et al.
Journal of Hydrology (2022) Vol. 609, pp. 127781-127781
Closed Access | Times Cited: 75
Applications of machine learning to water resources management: A review of present status and future opportunities
Ashraf Ahmed, Sakina Sayed, Antoifi Abdoulhalik, et al.
Journal of Cleaner Production (2024) Vol. 441, pp. 140715-140715
Open Access | Times Cited: 50
A Critical Review of Short-Term Water Demand Forecasting Tools—What Method Should I Use?
Azar Niknam, Hasan Khademi Zare, Hassan Hosseininasab, et al.
Sustainability (2022) Vol. 14, Iss. 9, pp. 5412-5412
Open Access | Times Cited: 60
Short-term water demand forecast based on automatic feature extraction by one-dimensional convolution
Lei Chen, Hexiang Yan, Jieru Yan, et al.
Journal of Hydrology (2022) Vol. 606, pp. 127440-127440
Closed Access | Times Cited: 43
Runoff predictions in new-gauged basins using two transformer-based models
Hanlin Yin, Wu Zhu, Xiuwei Zhang, et al.
Journal of Hydrology (2023) Vol. 622, pp. 129684-129684
Closed Access | Times Cited: 31
Evaluation of Transformer model and Self-Attention mechanism in the Yangtze River basin runoff prediction
Xikun Wei, Guojie Wang, Britta Schmalz, et al.
Journal of Hydrology Regional Studies (2023) Vol. 47, pp. 101438-101438
Open Access | Times Cited: 28
Artificial neural network modeling of photocatalytic degradation of pollutants: a review of photocatalyst, optimum parameters and model topology
Susmita Das, Snehal Moon, Ramanpreet Kaur, et al.
Catalysis Reviews (2024), pp. 1-35
Open Access | Times Cited: 11
A framework based on multivariate distribution-based virtual sample generation and DNN for predicting water quality with small data
Ali El Bilali, Houda Lamane, Abdeslam Taleb, et al.
Journal of Cleaner Production (2022) Vol. 368, pp. 133227-133227
Closed Access | Times Cited: 32
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
Incorporating deep learning predictions to assess the water-energy-food nexus security
Alma Yunuen Raya-Tapia, Francisco Javier López-Flores, José María Ponce‐Ortega
Environmental Science & Policy (2023) Vol. 144, pp. 99-109
Closed Access | Times Cited: 17
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
Runoff predictions in ungauged basins using sequence-to-sequence models
Hanlin Yin, Zilong Guo, Xiuwei Zhang, et al.
Journal of Hydrology (2021) Vol. 603, pp. 126975-126975
Closed Access | Times Cited: 39
Forecasting Short-term Water Demands with an Ensemble Deep Learning Model for a Water Supply System
Jing Liu, Xin-Lei Zhou, Luqi Zhang, et al.
Water Resources Management (2023) Vol. 37, Iss. 8, pp. 2991-3012
Open Access | Times Cited: 13
Short-term urban water demand forecasting; application of 1D convolutional neural network (1D CNN) in comparison with different deep learning schemes
Hossein Namdari, Ali Haghighi, Seyed Mohammad Ashrafi
Stochastic Environmental Research and Risk Assessment (2023)
Closed Access | Times Cited: 13
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: 4
A simple and high-accuracy method for minute-level water demand forecasting in district metering areas
Haidong Huang, Guangqi Que, Meiqiong Wu
Journal of Hydrology (2025) Vol. 652, pp. 132698-132698
Closed Access
Integrated Runoff Forecasting Model with Mode Decomposition and Metaheuristic-optimized Bidirectional Gated Recurrent Unit
Zhong-kai Feng, Wen-jie Liu, Zhengyang Tang, et al.
Water Resources Management (2025)
Closed Access
A Hierarchical Hybrid Deep-Net Framework for Water Demand Forecasting Using OPHO Optimization and Deep Learning Techniques
Subha Jeyavelu, K. Aditya Mohan
Iranian Journal of Science and Technology Transactions of Civil Engineering (2025)
Closed Access
Water Demand Forecast and Efficient Supply Management
Jaime Ortiz
IGI Global eBooks (2025), pp. 135-164
Closed Access
A review of recent hybridized machine learning methodologies for time series forecasting on water-related variables
Van Kwan Zhi Koh, Ye Li, Xing Yong Kek, et al.
Journal of Hydrology (2025), pp. 132909-132909
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
Multi-step-ahead solar output time series prediction with gate recurrent unit neural network using data decomposition and cooperation search algorithm
Zhong-kai Feng, Qingqing Huang, Wen-jing Niu, et al.
Energy (2022) Vol. 261, pp. 125217-125217
Closed Access | Times Cited: 21
Development of a Deep Learning-Based Prediction Model for Water Consumption at the Household Level
Jongsung Kim, Haneul Lee, Myungjin Lee, et al.
Water (2022) Vol. 14, Iss. 9, pp. 1512-1512
Open Access | Times Cited: 20
The last two decades of computer vision technologies in water resource management: A bibliometric analysis
Umair Iqbal, Muhammad Zain Bin Riaz, Johan Barthélemy, et al.
Water and Environment Journal (2023) Vol. 37, Iss. 3, pp. 373-389
Open Access | Times Cited: 11
Deep fuzzy mapping nonparametric model for real-time demand estimation in water distribution systems: A new perspective
Qingzhou Zhang, Jingzhi Yang, Weiping Zhang, et al.
Water Research (2023) Vol. 241, pp. 120145-120145
Closed Access | Times Cited: 10
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