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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:

Optimized Conditioning Factors Using Machine Learning Techniques for Groundwater Potential Mapping
Bahareh Kalantar, Husam A. H. Al-Najjar, Biswajeet Pradhan, et al.
Water (2019) Vol. 11, Iss. 9, pp. 1909-1909
Open Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

Spatial prediction of groundwater potential mapping based on convolutional neural network (CNN) and support vector regression (SVR)
Mahdi Panahi, Nitheshnirmal Sãdhasivam, Hamid Reza Pourghasemi, et al.
Journal of Hydrology (2020) Vol. 588, pp. 125033-125033
Closed Access | Times Cited: 290
Soft Computing Ensemble Models Based on Logistic Regression for Groundwater Potential Mapping
Phong Tung Nguyen, Duong Hai Ha, Mohammadtaghi Avand, et al.
Applied Sciences (2020) Vol. 10, Iss. 7, pp. 2469-2469
Open Access | Times Cited: 155
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
Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam
Phong Tung Nguyen, Duong Hai Ha, Abolfazl Jaafari, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 7, pp. 2473-2473
Open Access | Times Cited: 125
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
A tree-based intelligence ensemble approach for spatial prediction of potential groundwater
Mohammadtaghi Avand, Saeid Janizadeh, Dieu Tien Bui, et al.
International Journal of Digital Earth (2020) Vol. 13, Iss. 12, pp. 1408-1429
Closed Access | Times Cited: 94
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
Spatio-temporal modeling of PM2.5 risk mapping using three machine learning algorithms
Seyedeh Zeinab Shogrkhodaei, Seyed Vahid Razavi-Termeh, Amanollah Fathnia
Environmental Pollution (2021) Vol. 289, pp. 117859-117859
Closed Access | Times Cited: 69
Hydro-chemical assessment of groundwater pollutant and corresponding health risk in the Ganges delta, Indo-Bangladesh region
Tanmoy Biswas, Subodh Chandra Pal, Asish Saha, et al.
Journal of Cleaner Production (2022) Vol. 382, pp. 135229-135229
Closed Access | Times Cited: 39
Effects of elevated arsenic and nitrate concentrations on groundwater resources in deltaic region of Sundarban Ramsar site, Indo-Bangladesh region
Tanmoy Biswas, Subodh Chandra Pal, Indrajit Chowdhuri, et al.
Marine Pollution Bulletin (2023) Vol. 188, pp. 114618-114618
Closed Access | Times Cited: 25
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: 11
Improvement of Credal Decision Trees Using Ensemble Frameworks for Groundwater Potential Modeling
Phong Tung Nguyen, Duong Hai Ha, Huu Duy Nguyen, et al.
Sustainability (2020) Vol. 12, Iss. 7, pp. 2622-2622
Open Access | Times Cited: 53
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: 46
Landslide susceptibility assessment and mapping using state-of-the art machine learning techniques
Hamid Reza Pourghasemi, Nitheshnirmal Sãdhasivam, Mahdis Amiri, et al.
Natural Hazards (2021) Vol. 108, Iss. 1, pp. 1291-1316
Closed Access | Times Cited: 45
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
Mapping groundwater potential zones in Kanchanaburi Province, Thailand by integrating of analytic hierarchy process, frequency ratio, and random forest
Nguyễn Ngọc Thành, Srilert Chotpantarat, Trung Hieu Nguyen, et al.
Ecological Indicators (2022) Vol. 145, pp. 109591-109591
Open Access | Times Cited: 35
Groundwater potential mapping in the Central Highlands of Vietnam using spatially explicit machine learning
Tran Xuan Bien, Abolfazl Jaafari, Tran Van Phong, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 1, pp. 131-146
Closed Access | Times Cited: 18
Comprehensive landslide prediction mapping using bivariate statistical models of Mizoram state of Northeast India
Jonmenjoy Barman, Jayanta Das
Journal of Spatial Science (2024) Vol. 69, Iss. 3, pp. 963-993
Closed Access | Times Cited: 8
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: 7
Groundwater spring potential assessment using new ensemble data mining techniques
Saleh Yousefi, Nitheshnirmal Sãdhasivam, Hamid Reza Pourghasemi, et al.
Measurement (2020) Vol. 157, pp. 107652-107652
Closed Access | Times Cited: 40
Quadratic Discriminant Analysis Based Ensemble Machine Learning Models for Groundwater Potential Modeling and Mapping
Duong Hai Ha, Phong Tung Nguyen, Romulus Costache, et al.
Water Resources Management (2021) Vol. 35, Iss. 13, pp. 4415-4433
Closed Access | Times Cited: 33
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: 16
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
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: 14
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