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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:

Graph neural network for groundwater level forecasting
Tao Bai, Pejman Tahmasebi
Journal of Hydrology (2022) Vol. 616, pp. 128792-128792
Closed Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

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
Groundwater level forecasting with machine learning models: A review
Kenneth Beng Wee Boo, Ahmed El‐Shafie, Faridah Othman, et al.
Water Research (2024) Vol. 252, pp. 121249-121249
Closed Access | Times Cited: 26
A secondary modal decomposition ensemble deep learning model for groundwater level prediction using multi-data
Xuefei Cui, Zhaocai Wang, Nannan Xu, et al.
Environmental Modelling & Software (2024) Vol. 175, pp. 105969-105969
Closed Access | Times Cited: 23
Unveiling the Global Extent of Land Subsidence: The Sinking Crisis
Tsimur Davydzenka, Pejman Tahmasebi, Nima Shokri
Geophysical Research Letters (2024) Vol. 51, Iss. 4
Open Access | Times Cited: 15
Machine learning models combined with wavelet transform and phase space reconstruction for groundwater level forecasting
Aihua Wei, Xue Li, Liangdong Yan, et al.
Computers & Geosciences (2023) Vol. 177, pp. 105386-105386
Closed Access | Times Cited: 22
Harnessing Machine Learning for Assessing Climate Change Influences on Groundwater Resources: A Comprehensive Review
Apoorva Bamal, Md Galal Uddin, Agnieszka I. Olbert
Heliyon (2024) Vol. 10, Iss. 17, pp. e37073-e37073
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
Streamflow prediction using machine learning models in selected rivers of Southern India
Rajat Kr Sharma, Sudhanshu Kumar, D. Padmalal, et al.
International Journal of River Basin Management (2023) Vol. 22, Iss. 4, pp. 529-555
Closed Access | Times Cited: 14
Comparison of Hydrological Modeling, Artificial Neural Networks and Multi-Criteria Decision Making Approaches for Determining Flood Source Areas
Erfan Mahmoodi, M. Azari, Mohammad Taghi Dastorani, et al.
Water Resources Management (2024) Vol. 38, Iss. 13, pp. 5343-5363
Closed Access | Times Cited: 5
Contaminant Transport Modeling and Source Attribution With Attention‐Based Graph Neural Network
Min Pang, Erhu Du, Chunmiao Zheng
Water Resources Research (2024) Vol. 60, Iss. 6
Open Access | Times Cited: 4
A deep learning-based probabilistic approach to flash flood warnings in mountainous catchments
Yuting Zhao, Xuemei Wu, Wenjiang Zhang, et al.
Journal of Hydrology (2025) Vol. 652, pp. 132677-132677
Closed Access
Time series predictions in unmonitored sites: a survey of machine learning techniques in water resources
Jared Willard, Charuleka Varadharajan, Xiaowei Jia, et al.
Environmental Data Science (2025) Vol. 4
Open Access
HydroVision: LiDAR-Guided Hydrometric Prediction with Vision Transformers and Hybrid Graph Learning
Naghmeh Shafiee Roudbari, Ursula Eicker, Charalambos Poullis, et al.
Lecture notes in computer science (2025), pp. 134-147
Closed Access
An Intelligent Combination of Machine Learning Approaches for Groundwater Fluctuations Prediction
Abbasali Rezapour, Mostafa Sabzekar
Iranian Journal of Science and Technology Transactions of Civil Engineering (2025)
Closed Access
Enhancing the accuracy of groundwater level prediction at different scales using spatio-temporal graph convolutional model
Long Chen, Dezheng Zhang, Jianwei Xu, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
Training deep learning models with a multi-station approach and static aquifer attributes for groundwater level simulation: what is the best way to leverage regionalised information?
Sivarama Krishna Reddy Chidepudi, Nicolas Masseï, Abderrahim Jardani, et al.
Hydrology and earth system sciences (2025) Vol. 29, Iss. 4, pp. 841-861
Open Access
Sea level forecasting using deep recurrent neural networks with high-resolution hydrodynamic model
Saeed Rajabi-Kiasari, Artu Ellmann, Nicole Delpeche‐Ellmann
Applied Ocean Research (2025) Vol. 157, pp. 104496-104496
Open Access
Graph neural network-based water contamination detection from community housing information
Raphael Anaadumba, Yigit Bozkurt, Connor Sullivan, et al.
Frontiers in Environmental Engineering (2025) Vol. 4
Open Access
Integrating Euclidean and non-Euclidean spatial information for deep learning-based spatiotemporal hydrological simulation
Liangkun Deng, Xiang Zhang, Louise Slater, et al.
Journal of Hydrology (2024) Vol. 638, pp. 131438-131438
Closed Access | Times Cited: 3
Exploring AI approaches for predicting groundwater levels in coastal agro-climatic zones: a case study in Cuttack District, Odisha
S.K. Panda, Chittaranjan Dalai, Abinash Sahoo, et al.
Discover Geoscience (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 3
Simulation of spring discharge using graph neural networks at Niangziguan Springs, China
Yujing Gai, Mingyang Wang, Yue Wu, et al.
Journal of Hydrology (2023) Vol. 625, pp. 130079-130079
Open Access | Times Cited: 8
Spatial prediction of groundwater level change based on the Third Law of Geography
Fang-He Zhao, Jingyi Huang, A‐Xing Zhu
International Journal of Geographical Information Science (2023) Vol. 37, Iss. 10, pp. 2129-2149
Closed Access | Times Cited: 8
Spatiotemporal analysis of extreme precipitation events in the United States at mesoscale: Complex network theory
Tayeb Jamali, Behzad Ghanbarian, Jürgen Kurths
Journal of Hydrology (2023) Vol. 627, pp. 130440-130440
Closed Access | Times Cited: 8
Comparative analysis of data-driven and conceptual streamflow forecasting models with uncertainty assessment in a major basin in Iran
Afshin Ashrafzadeh, Jaber Salehpoor, Morteza Lotfirad
International Journal of Energy and Water Resources (2024) Vol. 8, Iss. 4, pp. 507-520
Closed Access | Times Cited: 2
Prediction of Tropical Pacific Rain Rates with Over-parameterized Neural Networks
Hojun You, Jiayi Wang, Raymond Chi-Wing Wong, et al.
Artificial Intelligence for the Earth Systems (2024) Vol. 3, Iss. 3
Open Access | Times Cited: 2
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