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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:

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

Showing 1-25 of 182 citing articles:

Global diagnosis of nitrate pollution in groundwater and review of removal technologies
E. Abascal, Lucía Gómez‐Coma, Inmaculada Ortíz, et al.
The Science of The Total Environment (2021) Vol. 810, pp. 152233-152233
Open Access | Times Cited: 392
Investigating sources, driving forces and potential health risks of nitrate and fluoride in groundwater of a typical alluvial fan plain
Yong Xiao, Qichen Hao, Yunhui Zhang, et al.
The Science of The Total Environment (2021) Vol. 802, pp. 149909-149909
Closed Access | Times Cited: 213
Geospatial mapping of groundwater potential zones using multi-criteria decision-making AHP approach in a hardrock basaltic terrain in India
Arjun Doke, Rajendra B. Zolekar, Hemlata Patel, et al.
Ecological Indicators (2021) Vol. 127, pp. 107685-107685
Open Access | Times Cited: 164
Delineation of groundwater potential zones for sustainable development and planning using analytical hierarchy process (AHP), and MIF techniques
Chaitanya B. Pande, Kanak N. Moharir, Balamurugan Panneerselvam, et al.
Applied Water Science (2021) Vol. 11, Iss. 12
Open Access | Times Cited: 127
Evaluation of groundwater potential using ANN-based mountain gazelle optimization: A framework to achieve SDGs in East El Oweinat, Egypt
Mahmoud E. Abd-Elmaboud, Ahmed M. Saqr, Mustafa El-Rawy, et al.
Journal of Hydrology Regional Studies (2024) Vol. 52, pp. 101703-101703
Open Access | Times Cited: 27
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
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
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
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
Comparison of gradient boosted decision trees and random forest for groundwater potential mapping in Dholpur (Rajasthan), India
Shruti Sachdeva, Bijendra Kumar
Stochastic Environmental Research and Risk Assessment (2020) Vol. 35, Iss. 2, pp. 287-306
Open Access | Times Cited: 81
Determination of groundwater potential zones using Geographical Information Systems (GIS) and Analytic Hierarchy Process (AHP) between Edirne-Kalkansogut (northwestern Turkey)
Tunahan Aykut
Groundwater for Sustainable Development (2021) Vol. 12, pp. 100545-100545
Closed Access | Times Cited: 76
Groundwater geochemical signatures and implication for sustainable development in a typical endorheic watershed on Tibetan plateau
Yinfei Luo, Yong Xiao, Qichen Hao, et al.
Environmental Science and Pollution Research (2021) Vol. 28, Iss. 35, pp. 48312-48329
Closed Access | Times Cited: 61
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
Preprocessing approaches in machine-learning-based groundwater potential mapping: an application to the Koulikoro and Bamako regions, Mali
Víctor Gómez‐Escalonilla, Pedro Martínez‐Santos, Miguel Martín-Loeches
Hydrology and earth system sciences (2022) Vol. 26, Iss. 2, pp. 221-243
Open Access | Times Cited: 49
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
Effect and genesis of soil nitrogen loading and hydrogeological conditions on the distribution of shallow groundwater nitrogen pollution in the North China Plain
Qiwen Xia, Jiangtao He, Baonan He, et al.
Water Research (2023) Vol. 243, pp. 120346-120346
Closed Access | Times Cited: 30
Sustainable groundwater management in coastal cities: Insights from groundwater potential and vulnerability using ensemble learning and knowledge-driven models
P. M. Huang, Mengyao Hou, Tong Sun, et al.
Journal of Cleaner Production (2024) Vol. 442, pp. 141152-141152
Closed Access | Times Cited: 12
Empowered machine learning algorithm to identify sustainable groundwater potential zone map in Jashore District, Bangladesh
Sujit Kumar Roy, Md. Mahmudul Hasan, Ismail Mondal, et al.
Groundwater for Sustainable Development (2024) Vol. 25, pp. 101168-101168
Closed Access | Times Cited: 12
Identification of the Groundwater Potential Recharge Zones Using MCDM Models: Full Consistency Method (FUCOM), Best Worst Method (BWM) and Analytic Hierarchy Process (AHP)
Maryam Akbari, Sarita Gajbhiye Meshram, R. S. Krishna, et al.
Water Resources Management (2021) Vol. 35, Iss. 14, pp. 4727-4745
Closed Access | Times Cited: 56
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
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
Mapping groundwater-dependent ecosystems by means of multi-layer supervised classification
Pedro Martínez‐Santos, Silvia Díaz-Alcaide, África de la Hera Portillo, et al.
Journal of Hydrology (2021) Vol. 603, pp. 126873-126873
Open Access | Times Cited: 43
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
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