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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:

Modeling groundwater potential using novel GIS-based machine-learning ensemble techniques
Alireza Arabameri, Subodh Chandra Pal, Fatemeh Rezaie, et al.
Journal of Hydrology Regional Studies (2021) Vol. 36, pp. 100848-100848
Open Access | Times Cited: 96

Showing 1-25 of 96 citing articles:

Critical role of climate factors for groundwater potential mapping in arid regions: Insights from random forest, XGBoost, and LightGBM algorithms
Xu Guo, Xiaofan Gui, Hanxiang Xiong, et al.
Journal of Hydrology (2023) Vol. 621, pp. 129599-129599
Closed Access | Times Cited: 76
Critical review on water quality analysis using IoT and machine learning models
Poornima Jayaraman, Kothalam Krishnan Nagarajan, Pachaivannan Partheeban, et al.
International Journal of Information Management Data Insights (2024) Vol. 4, Iss. 1, pp. 100210-100210
Open Access | Times Cited: 43
Evaluation of groundwater potential using ANN-based mountain gazelle optimization: A framework to achieve SDGs in East El Oweinat, Egypt
Mahmoud E. Abd-Elmaboud, Ahmed M. Saqr, Mustafa El-Rawy, et al.
Journal of Hydrology Regional Studies (2024) Vol. 52, pp. 101703-101703
Open Access | Times Cited: 27
Improving groundwater quality predictions in semi-arid regions using ensemble learning models
Mojtaba Mahmoudi, Amin Mahdavi‐Meymand, Ammar Aldallal, et al.
Environmental Science and Pollution Research (2025)
Closed Access | Times Cited: 2
Mapping groundwater potential zone by robust machine learning algorithm & remote sing techniques in agriculture dominated area, Bangladesh.
M. M. Shah Porun Rana, Muhammad Tauhidur Rahman, Md. Fuad Hassan
Cleaner Water (2025), pp. 100064-100064
Open Access | Times Cited: 2
Convolutional neural network and long short-term memory algorithms for groundwater potential mapping in Anseong, South Korea
Wahyu Luqmanul Hakim, Arip Syaripudin Nur, Fatemeh Rezaie, et al.
Journal of Hydrology Regional Studies (2022) Vol. 39, pp. 100990-100990
Open Access | Times Cited: 43
Spatial prediction of groundwater potential and driving factor analysis based on deep learning and geographical detector in an arid endorheic basin
Zitao Wang, Jianping Wang, Jinjun Han
Ecological Indicators (2022) Vol. 142, pp. 109256-109256
Closed Access | Times Cited: 41
Novel Ensemble Machine Learning Modeling Approach for Groundwater Potential Mapping in Parbhani District of Maharashtra, India
Md Masroor, Haroon Sajjad, Pankaj Kumar, et al.
Water (2023) Vol. 15, Iss. 3, pp. 419-419
Open Access | Times Cited: 29
Using Artificial Intelligence to Identify Suitable Artificial Groundwater Recharge Areas for the Iranshahr Basin
Mojtaba Zaresefat, Reza Derakhshani, Vahid Nikpeyman, et al.
Water (2023) Vol. 15, Iss. 6, pp. 1182-1182
Open Access | Times Cited: 23
Assessment of groundwater potential and determination of influencing factors using remote sensing and machine learning algorithms: A study of Nainital district of Uttarakhand state, India
Yatendra Sharma, Raihan Ahmed, Tamal Kanti Saha, et al.
Groundwater for Sustainable Development (2024) Vol. 25, pp. 101094-101094
Closed Access | Times Cited: 9
Novel hybrid models to enhance the efficiency of groundwater potentiality model
Swapan Talukdar, Javed Mallick, Showmitra Kumar Sarkar, et al.
Applied Water Science (2022) Vol. 12, Iss. 4
Open Access | Times Cited: 34
Efficient Frequency ratio-Graphical adaptive tree-weighted support vector machine based ground water potential mapping utilizing remote sensing and GIS
Soundharyaa Shri Harini. R, V. Amudha, S. Vidhya Lakshmi
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2023), pp. 1-7
Closed Access | Times Cited: 18
Multi-criteria decision-making for groundwater potentiality zonation in a groundwater scarce region in central India using methods of compensatory aggregating functions
Kailash Chandra Roy, Jonmenjoy Barman, Brototi Biswas
Groundwater for Sustainable Development (2024) Vol. 25, pp. 101101-101101
Closed Access | Times Cited: 7
Application of machine learning techniques to predict groundwater quality in the Nabogo Basin, Northern Ghana
Joseph Nzotiyine Apogba, Geophrey K. Anornu, Arthur B. Koon, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e28527-e28527
Open Access | Times Cited: 7
Application of bagging and boosting ensemble machine learning techniques for groundwater potential mapping in a drought-prone agriculture region of eastern India
Krishnagopal Halder, Amit Kumar Srivastava, Anitabha Ghosh, et al.
Environmental Sciences Europe (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 7
Cost-Effective Groundwater Potential Mapping by Integrating Multiple Remote Sensing Data and the Index–Overlay Method
Lamtupa Nainggolan, Chuen‐Fa Ni, Yahya Darmawan, et al.
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 502-502
Open Access | Times Cited: 6
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
Forecasting monthly pan evaporation using hybrid additive regression and data-driven models in a semi-arid environment
Ahmed Elbeltagi, Mustafa Al-Mukhtar, Nand Lal Kushwaha, et al.
Applied Water Science (2022) Vol. 13, Iss. 2
Open Access | Times Cited: 25
Groundwater quality for irrigation in an arid region—application of fuzzy logic techniques
Oussama Dhaoui, Belgaçem Agoubi, I.M.H.R. Antunes, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 11, pp. 29773-29789
Closed Access | Times Cited: 24
The potential evaluation of groundwater by integrating rank sum ratio (RSR) and machine learning algorithms in the Qaidam Basin
Zitao Wang, Jianping Wang, Dongmei Yu, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 23, pp. 63991-64005
Closed Access | Times Cited: 15
Evaluating the performance of machine learning methods and Geographic Information System (GIS) in identifying groundwater potential zones in Tehran-Karaj plain, Iran
Saman Vafadar, Majid Rahimzadegan, Roza Asadi
Journal of Hydrology (2023) Vol. 624, pp. 129952-129952
Closed Access | Times Cited: 14
Evaluation of shallow groundwater dynamics after water supplement in North China Plain based on attention-GRU model
Tian Nan, Wengeng Cao, Zhe Wang, et al.
Journal of Hydrology (2023) Vol. 625, pp. 130085-130085
Closed Access | Times Cited: 14
Spatial Prediction of Groundwater Withdrawal Potential Using Shallow, Hybrid, and Deep Learning Algorithms in the Toudgha Oasis, Southeast Morocco
Lamya Ouali, Lahcen Kabiri, Mustapha Namous, et al.
Sustainability (2023) Vol. 15, Iss. 5, pp. 3874-3874
Open Access | Times Cited: 13
Mapping groundwater potentiality by using hybrid machine learning models under the scenario of climate variability: a national level study of Bangladesh
Showmitra Kumar Sarkar, Fahad Alshehri, Shahfahad, et al.
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 5
Effectiveness of machine learning ensemble models in assessing groundwater potential in Lidder watershed, India
Rayees Ali, Haroon Sajjad, Tamal Kanti Saha, et al.
Acta Geophysica (2023) Vol. 72, Iss. 4, pp. 2843-2856
Closed Access | Times Cited: 11
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