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:

Assessment of groundwater potential zones using multi-influencing factor (MIF) and GIS: a case study from Birbhum district, West Bengal
Raju Thapa, Srimanta Gupta, Shirshendu Guin, et al.
Applied Water Science (2017) Vol. 7, Iss. 7, pp. 4117-4131
Open Access | Times Cited: 283

Showing 1-25 of 283 citing articles:

Delineation of potential groundwater recharge zones using analytical hierarchy process (AHP)
Tanveer Dar, Nachiketa Rai, Mohd Aadil Bhat
Geology Ecology and Landscapes (2020) Vol. 5, Iss. 4, pp. 292-307
Open Access | Times Cited: 224

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

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

GIS-based multi-criteria analysis for identification of potential groundwater recharge zones - a case study from Ponnaniyaru watershed, Tamil Nadu, India
Devanantham Abijith, Subbarayan Saravanan, Leelambar Singh, et al.
HydroResearch (2020) Vol. 3, pp. 1-14
Open Access | Times Cited: 172

Delineation of Groundwater Potential Zones (GWPZs) in a Semi-Arid Basin through Remote Sensing, GIS, and AHP Approaches
José Luis Uc Castillo, Diego Armando Martínez Cruz, José Alfredo Ramos‐Leal, et al.
Water (2022) Vol. 14, Iss. 13, pp. 2138-2138
Open Access | Times Cited: 80

Delineation of groundwater potential zonation using geoinformatics and AHP techniques with remote sensing data
Dechasa Diriba, Shankar Karuppannan, Tariku Takele, et al.
Heliyon (2024) Vol. 10, Iss. 3, pp. e25532-e25532
Open Access | Times Cited: 29

Assessment of Human Health Risk Associated with High Groundwater Fluoride Intake in Southern Districts of Punjab, India
Chetan P. S. Ahada, Surindra Suthar
Exposure and Health (2017) Vol. 11, Iss. 4, pp. 267-275
Closed Access | Times Cited: 146

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

Using Analytical Hierarchy Process and Multi-Influencing Factors to Map Groundwater Recharge Zones in a Semi-Arid Mediterranean Coastal Aquifer
Adel Zghibi, Ali Mirchi, Mohamed Haythem Msaddek, et al.
Water (2020) Vol. 12, Iss. 9, pp. 2525-2525
Open Access | Times Cited: 115

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

Potential groundwater recharge zones within New Zealand
Shailesh Kumar Singh, Malte Zeddies, Ude Shankar, et al.
Geoscience Frontiers (2018) Vol. 10, Iss. 3, pp. 1065-1072
Open Access | Times Cited: 109

Groundwater potential zones for sustainable management plans in a river basin of India and Bangladesh
Swades Pal, Sonali Kundu, Susanta Mahato
Journal of Cleaner Production (2020) Vol. 257, pp. 120311-120311
Closed Access | Times Cited: 108

Identification of groundwater potential zones in Mandavi River basin, Andhra Pradesh, India using remote sensing, GIS and MIF techniques
R. Siddi Raju, G. Sudarsana Raju, M. Rajasekhar
HydroResearch (2019) Vol. 2, pp. 1-11
Open Access | Times Cited: 86

Assessment of groundwater potential zones using multi-criteria decision-making technique: a micro-level case study from red and lateritic zone (RLZ) of West Bengal, India
Sabita Roy, Sugata Hazra, Abhra Chanda, et al.
Sustainable Water Resources Management (2020) Vol. 6, Iss. 1
Closed Access | Times Cited: 76

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

Impact of hydro-geological environment on availability of groundwater using analytical hierarchy process (AHP) and geospatial techniques: A study from the upper Kangsabati river basin
Debasis Ghosh, Mrinal Mandal, Monali Banerjee, et al.
Groundwater for Sustainable Development (2020) Vol. 11, pp. 100419-100419
Closed Access | Times Cited: 73

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

Assessment of groundwater potential modeling using support vector machine optimization based on Bayesian multi-objective hyperparameter algorithm
Duong Tran Anh, Manish Pandey, Varun Narayan Mishra, et al.
Applied Soft Computing (2022) Vol. 132, pp. 109848-109848
Closed Access | Times Cited: 52

Exploration of groundwater potential zones mapping for hard rock region in the Jakham river basin using geospatial techniques and aquifer parameters
Vinay Kumar Gautam, Chaitanya B. Pande, Mahesh Kothari, et al.
Advances in Space Research (2022) Vol. 71, Iss. 6, pp. 2892-2908
Closed Access | Times Cited: 50

Machine learning and GIS-RS-based algorithms for mapping the groundwater potentiality in the Bundelkhand region, India
Mukesh Kumar, Pitam Singh, Priyamvada Singh
Ecological Informatics (2023) Vol. 74, pp. 101980-101980
Closed Access | Times Cited: 41

Multi-influencing factor (MIF) and RS–GIS-based determination of agriculture site suitability for achieving sustainable development of Sub-Himalayan region, India
Subham Roy, Nimai Singha, Arghadeep Bose, et al.
Environment Development and Sustainability (2022) Vol. 25, Iss. 7, pp. 7101-7133
Closed Access | Times Cited: 40

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