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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:

Groundwater Potential Mapping Using Remote Sensing and GIS-Based Machine Learning Techniques
Sunmin Lee, Yunjung Hyun, Saro Lee, et al.
Remote Sensing (2020) Vol. 12, Iss. 7, pp. 1200-1200
Open Access | Times Cited: 128

Showing 1-25 of 128 citing articles:

Machine Learning in Agriculture: A Comprehensive Updated Review
Lefteris Benos, Aristotelis C. Tagarakis, Georgios Dolias, et al.
Sensors (2021) Vol. 21, Iss. 11, pp. 3758-3758
Open Access | Times Cited: 526
Remote sensing, GIS and AHP techniques based investigation of groundwater potential zones in the Karumeniyar river basin, Tamil Nadu, southern India
S. Arunbose, Y. Srinivas, S. Rajkumar, et al.
Groundwater for Sustainable Development (2021) Vol. 14, pp. 100586-100586
Closed Access | Times Cited: 119
Evaluation efficiency of hybrid deep learning algorithms with neural network decision tree and boosting methods for predicting groundwater potential
Yunzhi Chen, Wei Chen, Subodh Chandra Pal, et al.
Geocarto International (2021) Vol. 37, Iss. 19, pp. 5564-5584
Closed Access | Times Cited: 97
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: 97
A groundwater potential zone mapping approach for semi-arid environments using remote sensing (RS), geographic information system (GIS), and analytical hierarchical process (AHP) techniques: a case study of Buffalo catchment, Eastern Cape, South Africa
Solomon Temidayo Owolabi, Kakaba Madi, Ahmed Mukalazi Kalumba, et al.
Arabian Journal of Geosciences (2020) Vol. 13, Iss. 22
Open Access | Times Cited: 96
Application of Advanced Machine Learning Algorithms to Assess Groundwater Potential Using Remote Sensing-Derived Data
Ehsan Kamali Maskooni, Seyed Amir Naghibi, Hossein Hashemi, et al.
Remote Sensing (2020) Vol. 12, Iss. 17, pp. 2742-2742
Open Access | Times Cited: 78
Machine Learning in Precision Agriculture: A Survey on Trends, Applications and Evaluations Over Two Decades
Sarah Condran, Michael Bewong, Md Zahidul Islam, et al.
IEEE Access (2022) Vol. 10, pp. 73786-73803
Open Access | Times Cited: 62
Groundwater potential mapping using multi-criteria decision, bivariate statistic and machine learning algorithms: evidence from Chota Nagpur Plateau, India
Md Hasanuzzaman, Mehedi Hasan Mandal, Md Hasnine, et al.
Applied Water Science (2022) Vol. 12, Iss. 4
Open Access | Times Cited: 59
Groundwater quality assessment for safe drinking water and irrigation purposes in Malda district, Eastern India
Manasree Sarkar, Subodh Chandra Pal, Abu Reza Md. Towfiqul Islam
Environmental Earth Sciences (2022) Vol. 81, Iss. 2
Closed Access | Times Cited: 45
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
Simulating Groundwater Potential Zones in Mountainous Indian Himalayas—A Case Study of Himachal Pradesh
Anshul Sud, Rahul Kanga, Suraj Kumar Singh, et al.
Hydrology (2023) Vol. 10, Iss. 3, pp. 65-65
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
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
Performance evaluation of convolutional neural network and vision transformer models for groundwater potential mapping
Behnam Sadeghi, Ali Asghar Alesheikh, Ali Jafari, et al.
Journal of Hydrology (2025), pp. 132840-132840
Closed Access | Times Cited: 1
Naïve Bayes ensemble models for groundwater potential mapping
Binh Thai Pham, Abolfazl Jaafari, Tran Van Phong, et al.
Ecological Informatics (2021) Vol. 64, pp. 101389-101389
Closed Access | Times Cited: 53
Improved water resource management framework for water sustainability and security
Sameh S. Ahmed, Rekha Bali, Hasim Ali Khan, et al.
Environmental Research (2021) Vol. 201, pp. 111527-111527
Closed Access | Times Cited: 49
Application of Support Vector Regression and Metaheuristic Optimization Algorithms for Groundwater Potential Mapping in Gangneung-si, South Korea
Muhammad Fulki Fadhillah, Saro Lee, Chang-Wook Lee, et al.
Remote Sensing (2021) Vol. 13, Iss. 6, pp. 1196-1196
Open Access | Times Cited: 45
Determination of Potential Aquifer Recharge Zones Using Geospatial Techniques for Proxy Data of Gilgel Gibe Catchment, Ethiopia
Tarekegn Dejen Mengistu, Sun Woo Chang, Il-Hwan Kim, et al.
Water (2022) Vol. 14, Iss. 9, pp. 1362-1362
Open Access | Times Cited: 38
A new modelling framework to assess changes in groundwater level
Ikechukwu Kalu, Christopher E. Ndehedehe, Onuwa Okwuashi, et al.
Journal of Hydrology Regional Studies (2022) Vol. 43, pp. 101185-101185
Open Access | Times Cited: 36
Identification of groundwater potential zones in southern India using geospatial and decision-making approaches
M. Rajasekhar, B. Upendra, G. Sudarsana Raju, et al.
Applied Water Science (2022) Vol. 12, Iss. 4
Open Access | Times Cited: 30
Evaluation of the groundwater prospective zone by coupling hydro-meteorological and geospatial evidence in Wabe River Catchment Omo Gibe River Basin, Ethiopia
Yonas Mathewos, Brook Abate, Mulugeta Dadi, et al.
Water Cycle (2024) Vol. 5, pp. 37-58
Open Access | Times Cited: 8
Leveraging geospatial technology and AHP for groundwater potential zonation in parts of South and North-Central Nigeria
Kesyton Oyamenda Ozegin, Ilugbo Stephen Olubusola, Akande Noah Oluwatobi
Sustainable Water Resources Management (2024) Vol. 10, Iss. 4
Closed Access | Times Cited: 7
Surface Motion Prediction and Mapping for Road Infrastructures Management by PS-InSAR Measurements and Machine Learning Algorithms
Nicholas Fiorentini, Mehdi Maboudi, Pietro Leandri, et al.
Remote Sensing (2020) Vol. 12, Iss. 23, pp. 3976-3976
Open Access | Times Cited: 45
Groundwater-Potential Mapping Using a Self-Learning Bayesian Network Model: A Comparison among Metaheuristic Algorithms
Sadegh Karimi-Rizvandi, Hamid Valipoori Goodarzi, Javad Hatami Afkoueieh, et al.
Water (2021) Vol. 13, Iss. 5, pp. 658-658
Open Access | Times Cited: 41
Small dams/reservoirs site location analysis in a semi-arid region of Mozambique
António dos Anjos Luís, Pedro Cabral
International Soil and Water Conservation Research (2021) Vol. 9, Iss. 3, pp. 381-393
Open Access | Times Cited: 40
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