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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:

Optimization of statistical and machine learning hybrid models for groundwater potential mapping
Peyman Yariyan, Mohammadtaghi Avand, Ebrahim Omidvar, et al.
Geocarto International (2021) Vol. 37, Iss. 13, pp. 3877-3911
Closed Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Flood susceptibility mapping using machine learning boosting algorithms techniques in Idukki district of Kerala India
Subbarayan Saravanan, Devanantham Abijith, Nagireddy Masthan Reddy, et al.
Urban Climate (2023) Vol. 49, pp. 101503-101503
Closed Access | Times Cited: 57
Fusion of Remote Sensing Data Using GIS-Based AHP-Weighted Overlay Techniques for Groundwater Sustainability in Arid Regions
Mohamed Abdekareem, Nassir Al‐Arifi, Fathy Abdalla, et al.
Sustainability (2022) Vol. 14, Iss. 13, pp. 7871-7871
Open Access | Times Cited: 38
Mapping groundwater potential zone in the subarnarekha basin, India, using a novel hybrid multi-criteria approach in Google earth Engine
Chiranjit Singha, Kishore Chandra Swain, Biswajeet Pradhan, et al.
Heliyon (2024) Vol. 10, Iss. 2, pp. e24308-e24308
Open Access | Times Cited: 15
Empowered machine learning algorithm to identify sustainable groundwater potential zone map in Jashore District, Bangladesh
Sujit Kumar Roy, Md. Mahmudul Hasan, Ismail Mondal, et al.
Groundwater for Sustainable Development (2024) Vol. 25, pp. 101168-101168
Closed Access | Times Cited: 12
Automated parameter estimation for geothermal reservoir modeling using machine learning
Anna Suzuki, Shuokun Shi, Taro Sakai, et al.
Renewable Energy (2024) Vol. 224, pp. 120243-120243
Open Access | Times Cited: 9
Geospatial Mapping and Multi-Criteria Analysis of Groundwater Potential in Libo Kemkem Watershed, Upper Blue Nile River Basin, Ethiopia
Engdaw Gulbet, Zemenu Molla, Sisay Getahun, et al.
Scientific African (2025), pp. e02549-e02549
Open Access | Times Cited: 1
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
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
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
Efficiency exploration of frequency ratio, entropy and weights of evidence-information value models in flood vulnerabilityassessment: a study of raiganj subdivision, Eastern India
Sunil Saha, Debabrata Sarkar, Prolay Mondal
Stochastic Environmental Research and Risk Assessment (2021) Vol. 36, Iss. 6, pp. 1721-1742
Closed Access | Times Cited: 35
Delineation of groundwater potential zones for Arkavathi sub-watershed, Karnataka, India using remote sensing and GIS
Subbarayan Saravanan, Thiyagarajan Saranya, Devanantham Abijith, et al.
Environmental Challenges (2021) Vol. 5, pp. 100380-100380
Open Access | Times Cited: 35
Delineation of groundwater potential zones using GIS and AHP techniques in Coimbatore district, South India
Karung Phaisonreng Kom, B. Gurugnanam, V. Sunitha
International Journal of Energy and Water Resources (2022) Vol. 8, Iss. 1, pp. 85-109
Closed Access | Times Cited: 27
Mapping Prospective Areas of Water Resources and Monitoring Land Use/Land Cover Changes in an Arid Region Using Remote Sensing and GIS Techniques
Tong Sun, Wuqun Cheng, Mohamed Abdelkareem, et al.
Water (2022) Vol. 14, Iss. 15, pp. 2435-2435
Open Access | Times Cited: 26
Mapping Potential Water Resource Areas Using GIS-Based Frequency Ratio and Evidential Belief Function
Li Yang, Mohamed Abdelkareem, Nassir Al‐Arifi
Water (2023) Vol. 15, Iss. 3, pp. 480-480
Open Access | Times Cited: 15
Using Remote Sensing and GIS-Based Frequency Ratio Technique for Revealing Groundwater Prospective Areas at Wadi Al Hamdh Watershed, Saudi Arabia
Mohamed Abdekareem, Fathy Abdalla, Nassir Al‐Arifi, et al.
Water (2023) Vol. 15, Iss. 6, pp. 1154-1154
Open Access | Times Cited: 14
An Integrated Remote Sensing and GIS-Based Technique for Mapping Groundwater Recharge Zones: A Case Study of SW Riyadh, Central Saudi Arabia
Eman Mohamed M. EL-Bana, Haya M. Alogayell, Mariam Hassan Sheta, et al.
Hydrology (2024) Vol. 11, Iss. 3, pp. 38-38
Open Access | Times Cited: 5
Integration of multi-temporal SAR data and robust machine learning models for improvement of flood susceptibility assessment in the southwest coast of India
Pankaj Prasad, Sourav Mandal, Sahil Naik, et al.
Applied Computing and Geosciences (2024) Vol. 24, pp. 100189-100189
Open Access | Times Cited: 5
Proposing a digital twin-based sustainable water governance system for rural Indian villages
Dineshkumar Singh, Vishnu Sharma
International Journal of Information Technology (2025)
Closed Access
Mapping Groundwater Potential Zones in the Widyan Basin, Al Qassim, KSA: Analytical Hierarchy Process-Based Analysis Using Sentinel-2, ASTER-DEM, and Conventional Data
Ragab A. El Sherbini, Hosni Ghazala, Mohammed A. Ahmed, et al.
Remote Sensing (2025) Vol. 17, Iss. 5, pp. 766-766
Open Access
Mapping Groundwater Prospective Areas Using Remote Sensing and GIS-Based Data Driven Frequency Ratio Techniques and Detecting Land Cover Changes in the Yellow River Basin, China
Shuhang Li, Mohamed Abdelkareem, Nassir Al‐Arifi
Land (2023) Vol. 12, Iss. 4, pp. 771-771
Open Access | Times Cited: 11
Solving water scarcity challenges in arid regions: A novel approach employing human-based meta-heuristics and machine learning algorithm for groundwater potential mapping
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Farbod Farhangi, et al.
Chemosphere (2024) Vol. 363, pp. 142859-142859
Open Access | Times Cited: 4
A GIS-Based Assessment of Urban Tourism Potential with a Branding Approach Utilizing Hybrid Modeling
Majid Dadashpour Moghaddam, Hassan Ahmadzadeh, Řeža Valizadeh
Spatial Information Research (2022) Vol. 30, Iss. 3, pp. 399-416
Open Access | Times Cited: 18
Machine Learning and Hyperparameters Algorithms for Identifying Groundwater Aflaj Potential Mapping in Semi-Arid Ecosystems Using LiDAR, Sentinel-2, GIS Data, and Analysis
Khalifa M. Al‐Kindi, Saeid Janizadeh
Remote Sensing (2022) Vol. 14, Iss. 21, pp. 5425-5425
Open Access | Times Cited: 16
Mapping of potential areas for aquifer recharge in arid regions using the IF model and the fuzzy AHP method: the case of southeastern Tunisia
Fatma Ben Brahim, Olfa Kerrit, Salem Bouri
Euro-Mediterranean Journal for Environmental Integration (2024) Vol. 9, Iss. 2, pp. 761-782
Closed Access | Times Cited: 3
Identification of the most suitable afforestation sites by Juniperus excels specie using machine learning models: Firuzkuh semi-arid region, Iran
Saleh Yousefi, Mohammadtaghi Avand, Peyman Yariyan, et al.
Ecological Informatics (2021) Vol. 65, pp. 101427-101427
Closed Access | Times Cited: 19
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