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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 Comparative Study of Groundwater Level Forecasting Using Data-Driven Models Based on Ensemble Empirical Mode Decomposition
Yicheng Gong, Zhongjing Wang, Guoyin Xu, et al.
Water (2018) Vol. 10, Iss. 6, pp. 730-730
Open Access | Times Cited: 83

Showing 1-25 of 83 citing articles:

Groundwater level prediction using machine learning models: A comprehensive review
Tao Hai, Mohammed Majeed Hameed, Haydar Abdulameer Marhoon, et al.
Neurocomputing (2022) Vol. 489, pp. 271-308
Open Access | Times Cited: 256
Multiscale groundwater level forecasting: Coupling new machine learning approaches with wavelet transforms
A. T. M. Sakiur Rahman, Takahiro Hosono, John Quilty, et al.
Advances in Water Resources (2020) Vol. 141, pp. 103595-103595
Closed Access | Times Cited: 153
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: 29
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
Past, Present and Perspective Methodology for Groundwater Modeling-Based Machine Learning Approaches
Ahmedbahaaaldin Ibrahem Ahmed Osman, Ali Najah Ahmed, Yuk Feng Huang, et al.
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 6, pp. 3843-3859
Closed Access | Times Cited: 54
Use of machine learning and geographical information system to predict nitrate concentration in an unconfined aquifer in Iran
Vahid Gholami, Martijn J. Booij
Journal of Cleaner Production (2022) Vol. 360, pp. 131847-131847
Open Access | Times Cited: 38
A Novel Hybrid Algorithms for Groundwater Level Prediction
Mohsen Saroughi, Ehsan Mirzania, Dinesh Kumar Vishwakarma, et al.
Iranian Journal of Science and Technology Transactions of Civil Engineering (2023) Vol. 47, Iss. 5, pp. 3147-3164
Closed Access | Times Cited: 28
Shannon entropy of performance metrics to choose the best novel hybrid algorithm to predict groundwater level (case study: Tabriz plain, Iran)
Mohsen Saroughi, Ehsan Mirzania, Mohammed Achite, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 3
Open Access | Times Cited: 9
Predicting groundwater level fluctuations under climate change scenarios for Tasuj plain, Iran
Babak Ghazi, Esmaeil Jeihouni, Zahra Kalantari
Arabian Journal of Geosciences (2021) Vol. 14, Iss. 2
Closed Access | Times Cited: 49
A multi-source data-driven model of lake water level based on variational modal decomposition and external factors with optimized bi-directional long short-term memory neural network
Ruiqin Tan, Yuan Hu, Zhaocai Wang
Environmental Modelling & Software (2023) Vol. 167, pp. 105766-105766
Closed Access | Times Cited: 19
Groundwater level estimation in northern region of Bangladesh using hybrid locally weighted linear regression and Gaussian process regression modeling
Ahmed Elbeltagi, Roquia Salam, Subodh Chandra Pal, et al.
Theoretical and Applied Climatology (2022) Vol. 149, Iss. 1-2, pp. 131-151
Closed Access | Times Cited: 27
Hybrid emotional neural networks and novel multi-model stacking algorithms for multi-lake water level fluctuation modeling
Gebre Gelete, Tagesse Gichamo, Tesfalem Abraham, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Open Access
Machine Learning Approaches for Water Level Prediction
树波 张
Artificial Intelligence and Robotics Research (2025) Vol. 14, Iss. 02, pp. 290-303
Closed Access
Performance Evaluation of Homogeneous and Heterogeneous Ensemble Models for Groundwater Salinity Predictions: a Regional-Scale Comparison Study
Alvin Lal, Bithin Datta
Water Air & Soil Pollution (2020) Vol. 231, Iss. 6
Closed Access | Times Cited: 32
Estimation of Tasuj aquifer response to main meteorological parameter variations under Shared Socioeconomic Pathways scenarios
Babak Ghazi, Esmaeil Jeihouni, Özgür Kişi, et al.
Theoretical and Applied Climatology (2022) Vol. 149, Iss. 1-2, pp. 25-37
Closed Access | Times Cited: 20
Hybrid machine learning models for groundwater level prediction in a snow‐dominated region: An evaluation of EEMD, VMD and EWT decomposition techniques
Kadir Gezici, Okan Mert Katipoğlu, Selim Şengül
Hydrological Processes (2024) Vol. 38, Iss. 5
Closed Access | Times Cited: 4
Improving Forecasting Accuracy of Multi-Scale Groundwater Level Fluctuations Using a Heterogeneous Ensemble of Machine Learning Algorithms
Dilip Kumar Roy, Tasnia Hossain Munmun, Chitra Rani Paul, et al.
Water (2023) Vol. 15, Iss. 20, pp. 3624-3624
Open Access | Times Cited: 10
Bee-inspired insights: Unleashing the potential of artificial bee colony optimized hybrid neural networks for enhanced groundwater level time series prediction
Okan Mert Katipoğlu, Babak Mohammadi, Mehdi Keblouti
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 8
Closed Access | Times Cited: 3
Chinese Water Demand Forecast Based on iTransformer Model
Zhi-Wei Tian, Ru-Liang Qian
IEEE Access (2024) Vol. 12, pp. 115853-115867
Open Access | Times Cited: 3
EKLT: Kolmogorov-Arnold attention-driven LSTM with transformer model for river water level prediction
Dongfeng Ren, Qian Hu, Tengda Zhang
Journal of Hydrology (2024), pp. 132430-132430
Open Access | Times Cited: 3
Groundwater Level Prediction Using a Multiple Objective Genetic Algorithm-Grey Relational Analysis Based Weighted Ensemble of ANFIS Models
Dilip Kumar Roy, S.K. Biswas, Mohamed A. Mattar, et al.
Water (2021) Vol. 13, Iss. 21, pp. 3130-3130
Open Access | Times Cited: 21
A hybrid groundwater level prediction model using signal decomposition and optimised extreme learning machine
Jamel Seidu, Anthony Ewusi, Jerry S.Y. Kuma, et al.
Modeling Earth Systems and Environment (2021) Vol. 8, Iss. 3, pp. 3607-3624
Closed Access | Times Cited: 20
Prediction of future groundwater levels under representative concentration pathway scenarios using an inclusive multiple model coupled with artificial neural networks
Mohammad Ehteram, Zahra Kalantari, Carla Ferreira, et al.
Journal of Water and Climate Change (2022) Vol. 13, Iss. 10, pp. 3620-3643
Open Access | Times Cited: 15
Big Data Analytics and Its Role to Support Groundwater Management in the Southern African Development Community
Zaheed Gaffoor, Kevin Pietersen, Nebo Jovanovic, et al.
Water (2020) Vol. 12, Iss. 10, pp. 2796-2796
Open Access | Times Cited: 23
A Review of Groundwater Management Models with a Focus on IoT-Based Systems
Banjo Ayoade Aderemi, Thomas O. Olwal, Julius Musyoka Ndambuki, et al.
Sustainability (2021) Vol. 14, Iss. 1, pp. 148-148
Open Access | Times Cited: 19
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