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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:

Spatial analysis of groundwater potential using weights-of-evidence and evidential belief function models and remote sensing
Naser Tahmassebipoor, Omid Rahmati, Farhad Noormohamadi, et al.
Arabian Journal of Geosciences (2015) Vol. 9, Iss. 1
Closed Access | Times Cited: 170

Showing 1-25 of 170 citing articles:

A comparison of statistical methods and multi-criteria decision making to map flood hazard susceptibility in Northern Iran
Alireza Arabameri, Khalil Rezaei, Artemi Cerdà, et al.
The Science of The Total Environment (2019) Vol. 660, pp. 443-458
Closed Access | Times Cited: 259
GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method
Wei Chen, Xiaoshen Xie, Jianbing Peng, et al.
CATENA (2018) Vol. 164, pp. 135-149
Open Access | Times Cited: 251
Gully erosion susceptibility mapping: the role of GIS-based bivariate statistical models and their comparison
Omid Rahmati, Ali Haghizadeh, Hamid Reza Pourghasemi, et al.
Natural Hazards (2016) Vol. 82, Iss. 2, pp. 1231-1258
Closed Access | Times Cited: 232
Delineation of groundwater potential zones using geospatial techniques and analytical hierarchy process in Dumka district, Jharkhand, India
Preetilata Murmu, Mukesh Kumar, Deepak Lal, et al.
Groundwater for Sustainable Development (2019) Vol. 9, pp. 100239-100239
Closed Access | Times Cited: 220
Groundwater potential mapping using C5.0, random forest, and multivariate adaptive regression spline models in GIS
Ali Golkarian, Seyed Amir Naghibi, Bahareh Kalantar, et al.
Environmental Monitoring and Assessment (2018) Vol. 190, Iss. 3
Closed Access | Times Cited: 206
Landslide susceptibility mapping using an integrated model of information value method and logistic regression in the Bailongjiang watershed, Gansu Province, China
Guoliang Du, Yongshuang Zhang, Javed Iqbal, et al.
Journal of Mountain Science (2017) Vol. 14, Iss. 2, pp. 249-268
Closed Access | Times Cited: 187
Assessment of groundwater potential zones in coal mining impacted hard-rock terrain of India by integrating geospatial and analytic hierarchy process (AHP) approach
Akshay Kumar, Akhouri Pramod Krishna
Geocarto International (2016) Vol. 33, Iss. 2, pp. 105-129
Closed Access | Times Cited: 186
Review: Advances in groundwater potential mapping
Silvia Díaz-Alcaide, Pedro Martínez‐Santos
Hydrogeology Journal (2019) Vol. 27, Iss. 7, pp. 2307-2324
Closed Access | Times Cited: 182
Evaluating the influence of geo-environmental factors on gully erosion in a semi-arid region of Iran: An integrated framework
Omid Rahmati, Naser Tahmasebipour, Ali Haghizadeh, et al.
The Science of The Total Environment (2016) Vol. 579, pp. 913-927
Closed Access | Times Cited: 181
Comparison among influencing factor, frequency ratio, and analytical hierarchy process techniques for groundwater potential zonation in Vaitarna basin, Maharashtra, India
Sumit Das
Groundwater for Sustainable Development (2019) Vol. 8, pp. 617-629
Closed Access | Times Cited: 179
GIS-based groundwater potential mapping using artificial neural network and support vector machine models: the case of Boryeong city in Korea
Saro Lee, Soo-Min Hong, Hyung-Sup Jung
Geocarto International (2017) Vol. 33, Iss. 8, pp. 847-861
Closed Access | Times Cited: 174
Mapping Groundwater Potential Using a Novel Hybrid Intelligence Approach
Shaghayegh Miraki, Sasan Hedayati Zanganeh, Kamran Chapi, et al.
Water Resources Management (2018) Vol. 33, Iss. 1, pp. 281-302
Closed Access | Times Cited: 173
Novel hybrid artificial intelligence approach of bivariate statistical-methods-based kernel logistic regression classifier for landslide susceptibility modeling
Wei Chen, Himan Shahabi, Ataollah Shirzadi, et al.
Bulletin of Engineering Geology and the Environment (2018) Vol. 78, Iss. 6, pp. 4397-4419
Closed Access | Times Cited: 165
Groundwater potential zone mapping using GIS and Remote Sensing based models for sustainable groundwater management
Abdur Rehman, Fakhrul Islam, Aqil Tariq, et al.
Geocarto International (2024) Vol. 39, Iss. 1
Open Access | Times Cited: 22
Delineation of groundwater potential zones using remote sensing and GIS-based data-driven models
Samira Ghorbani Nejad, Fatemeh Falah, Mania Daneshfar, et al.
Geocarto International (2015), pp. 1-21
Closed Access | Times Cited: 174
GIS-based gully erosion susceptibility mapping: a comparison among three data-driven models and AHP knowledge-based technique
Alireza Arabameri, Khalil Rezaei, Hamid Reza Pourghasemi, et al.
Environmental Earth Sciences (2018) Vol. 77, Iss. 17
Closed Access | Times Cited: 163
Forecasting flood-prone areas using Shannon’s entropy model
Ali Haghizadeh, Safoura Siahkamari, Amir Hamzeh Haghiabi, et al.
Journal of Earth System Science (2017) Vol. 126, Iss. 3
Open Access | Times Cited: 160
Integration of different influencing factors in GIS to delineate groundwater potential areas using IF and FR techniques: a study of Pravara basin, Maharashtra, India
Sumit Das, Sudhakar D. Pardeshi
Applied Water Science (2018) Vol. 8, Iss. 7
Open Access | Times Cited: 159
Groundwater potential mapping using a novel data-mining ensemble model
Mojtaba Kordestani, Seyed Amir Naghibi, Hossein Hashemi, et al.
Hydrogeology Journal (2018) Vol. 27, Iss. 1, pp. 211-224
Open Access | Times Cited: 153
Delineation of groundwater potential zones in Karha river basin, Maharashtra, India, using AHP and geospatial techniques
Amit Bera, Bhabani Prasad Mukhopadhyay, Swarnali Barua
Arabian Journal of Geosciences (2020) Vol. 13, Iss. 15
Closed Access | Times Cited: 120
Evaluating the usage of tree-based ensemble methods in groundwater spring potential mapping
Wei Chen, Xia Zhao, Paraskevas Tsangaratos, et al.
Journal of Hydrology (2020) Vol. 583, pp. 124602-124602
Closed Access | Times Cited: 117
Application of Dempster–Shafer theory, spatial analysis and remote sensing for groundwater potentiality and nitrate pollution analysis in the semi-arid region of Khuzestan, Iran
Omid Rahmati, Assefa M. Melesse
The Science of The Total Environment (2016) Vol. 568, pp. 1110-1123
Closed Access | Times Cited: 116
Application of machine learning techniques in groundwater potential mapping along the west coast of India
Pankaj Prasad, Victor J. Loveson, Mahender Kotha, et al.
GIScience & Remote Sensing (2020) Vol. 57, Iss. 6, pp. 735-752
Closed Access | Times Cited: 116
Application of the GIS-Based Probabilistic Models for Mapping the Flood Susceptibility in Bansloi Sub-basin of Ganga-Bhagirathi River and Their Comparison
Gopal Chandra Paul, Sunil Saha, Tusar Kanti Hembram
Remote Sensing in Earth Systems Sciences (2019) Vol. 2, Iss. 2-3, pp. 120-146
Closed Access | Times Cited: 113
Application of extreme gradient boosting and parallel random forest algorithms for assessing groundwater spring potential using DEM-derived factors
Seyed Amir Naghibi, Hossein Hashemi, Ronny Berndtsson, et al.
Journal of Hydrology (2020) Vol. 589, pp. 125197-125197
Closed Access | Times Cited: 112
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