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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:

Application of remote sensing and GIS for delineating groundwater recharge potential zones of Kovilpatti Municipality, Tamil Nadu using IF technique
S. Selvam, Farooq Ahmad Dar, N.S. Magesh, et al.
Earth Science Informatics (2015) Vol. 9, Iss. 2, pp. 137-150
Closed Access | Times Cited: 121

Showing 1-25 of 121 citing articles:

Identification of Groundwater Potential Zones Using Remote Sensing and GIS Techniques: A Case Study of the Shatt Al-Arab Basin
Hadi Allafta, Christian Opp, Suman Patra
Remote Sensing (2020) Vol. 13, Iss. 1, pp. 112-112
Open Access | Times Cited: 181
Groundwater Potential Zone Mapping Using Analytical Hierarchy Process and GIS in Muga Watershed, Abay Basin, Ethiopia
Tadele Melese, Tatek Belay
Global Challenges (2021) Vol. 6, Iss. 1
Open Access | Times Cited: 112
Predicting seawater intrusion wedge length in coastal aquifers using hybrid gradient boosting techniques
Mohamed Kamel Elshaarawy, Asaad M. Armanuos
Earth Science Informatics (2025) Vol. 18, Iss. 2
Open Access | Times Cited: 4
Groundwater geochemistry and irrigation suitability in the semi-arid Melur block of Madurai district, south India
S. Selvam, S. Surendran, Priyadarsi D. Roy, et al.
Environmental Earth Sciences (2025) Vol. 84, Iss. 5
Closed Access | Times Cited: 2
Deciphering groundwater potential zones using MIF technique and GIS: A study from Tirupati area, Chittoor District, Andhra Pradesh, India
Balaji Etikala, Veeraswamy Golla, Peiyue Li, et al.
HydroResearch (2019) Vol. 1, pp. 1-7
Open Access | Times Cited: 112
Remote Sensing and GIS Based Groundwater Potential Zone Mapping in Ariyalur District, Tamil Nadu
Gnanachandrasamy Gopalakrishnan, Yongzhang Zhou, Murugesan Bagyaraj, et al.
Journal of the Geological Society of India (2018) Vol. 92, Iss. 4, pp. 484-490
Closed Access | Times Cited: 104
Groundwater recharge potential zones mapping in upper Manimuktha Sub basin Vellar river Tamil Nadu India using GIS and remote sensing techniques
S. Deepa, S. Venkateswaran, R. Ayyandurai, et al.
Modeling Earth Systems and Environment (2016) Vol. 2, Iss. 3
Open Access | Times Cited: 94
Suitability maps for managed aquifer recharge: a review of multi-criteria decision analysis studies
Jana Sallwey, José Pablo Bonilla Valverde, Felipe Vásquez López, et al.
Environmental Reviews (2018) Vol. 27, Iss. 2, pp. 138-150
Open Access | Times Cited: 91
Delineation of groundwater potential zones using GIS and multi influence factor (MIF) techniques: a study of district Swat, Khyber Pakhtunkhwa, Pakistan
Muhammad Nasir, Sardar Khan, Hasham Zahid, et al.
Environmental Earth Sciences (2018) Vol. 77, Iss. 10
Closed Access | Times Cited: 90
Delineating of groundwater potential zones based on remote sensing, GIS and analytical hierarchical process: a case of Waddai, eastern Chad
Al-Djazouli Ouchar Mahamat Hidjazi, Karim Elmorabiti, Abdelmejid Rahimi, et al.
GeoJournal (2020) Vol. 86, Iss. 4, pp. 1881-1894
Closed Access | Times Cited: 90
Using machine learning algorithms to map the groundwater recharge potential zones
Hamid Reza Pourghasemi, Nitheshnirmal Sãdhasivam, Saleh Yousefi, et al.
Journal of Environmental Management (2020) Vol. 265, pp. 110525-110525
Closed Access | Times Cited: 75
Groundwater Potential Mapping in Hubei Region of China Using Machine Learning, Ensemble Learning, Deep Learning and AutoML Methods
Zhigang Bai, Qimeng Liu, Yu Liu
Natural Resources Research (2022) Vol. 31, Iss. 5, pp. 2549-2569
Closed Access | Times Cited: 43
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
Mapping of Groundwater Recharge Potential Zones and Identification of Suitable Site-Specific Recharge Mechanisms in a Tropical River Basin
A.L. Achu, Rajesh Reghunath, Jobin Thomas
Earth Systems and Environment (2019) Vol. 4, Iss. 1, pp. 131-145
Closed Access | Times Cited: 76
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: 36
A hybrid MCDA approach for delineating sites suitable for artificial groundwater recharge using drywells
Rachid Mohamed Mouhoumed, Ömer Ekmekcioğlu, Mehmet Özger
Journal of Hydrology (2023) Vol. 620, pp. 129387-129387
Closed Access | Times Cited: 19
Factors controlling groundwater quality in the Yeonjegu District of Busan City, Korea, using the hydrogeochemical processes and fuzzy GIS
Venkatramanan Senapathi, Sang Yong Chung, S. Selvam, et al.
Environmental Science and Pollution Research (2017) Vol. 24, Iss. 30, pp. 23679-23693
Closed Access | Times Cited: 61
Use of geospatial technology for delineating groundwater potential zones with an emphasis on water-table analysis in Dwarka River basin, Birbhum, India
Raju Thapa, Srimanta Gupta, Arindam Gupta, et al.
Hydrogeology Journal (2017) Vol. 26, Iss. 3, pp. 899-922
Closed Access | Times Cited: 60
Integrating GIS and multi-influencing factor technique for delineation of potential groundwater recharge zones in parts of Ilesha schist belt, southwestern Nigeria
Babatunde Joseph Fagbohun
Environmental Earth Sciences (2018) Vol. 77, Iss. 3
Closed Access | Times Cited: 59
GIS Based Groundwater Modeling Study to Assess the Effect of Artificial Recharge: A Case Study from Kodaganar River Basin, Dindigul District, Tamil Nadu
M. C. Sashikkumar, S. Selvam, V. Lenin Kalyanasundaram, et al.
Journal of the Geological Society of India (2017) Vol. 89, Iss. 1, pp. 57-64
Closed Access | Times Cited: 53
Identification of groundwater contamination sources in Dindugal district of Tamil Nadu, India using GIS and multivariate statistical analyses
S. Selvam, Venkatramanan Senapathi, S. Y. Chung, et al.
Arabian Journal of Geosciences (2016) Vol. 9, Iss. 5
Closed Access | Times Cited: 51
Promoting artificial recharge to enhance groundwater potential in the lower Bhavani River basin of South India using geospatial techniques
B. Anand, D. Karunanidhi, T. Subramani
Environmental Science and Pollution Research (2020) Vol. 28, Iss. 15, pp. 18437-18456
Closed Access | Times Cited: 50
Identification of groundwater potential zones using geospatial approach in Sivagangai district, South India
Agastheeswaran Vellaikannu, Udayaganesan Palaniraj, Sivakumar Karthikeyan, et al.
Arabian Journal of Geosciences (2021) Vol. 14, Iss. 1
Closed Access | Times Cited: 39
Identification of groundwater potential recharge zones using GIS-based multi-criteria decision analysis: A case study of semi-arid midlands Manyara fractured aquifer, North-Eastern Tanzania
Michael Makonyo, Michael Msabi
Remote Sensing Applications Society and Environment (2021) Vol. 23, pp. 100544-100544
Closed Access | Times Cited: 34
Identifying Agricultural Managed Aquifer Recharge Locations to Benefit Drinking Water Supply in Rural Communities
Nisha Marwaha, George Kourakos, Elad Levintal, et al.
Water Resources Research (2021) Vol. 57, Iss. 3
Open Access | Times Cited: 33
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