Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 1-25 of 49 citing articles:

Critical role of climate factors for groundwater potential mapping in arid regions: Insights from random forest, XGBoost, and LightGBM algorithms
Xu Guo, Xiaofan Gui, Hanxiang Xiong, et al.
Journal of Hydrology (2023) Vol. 621, pp. 129599-129599
Closed Access | Times Cited: 80
Prediction of Nitrate Concentration and the Impact of Land Use Types on Groundwater in the Nansi Lake Basin
Javed Iqbal, Chunli Su, Hasnain Abbas, et al.
Journal of Hazardous Materials (2025) Vol. 487, pp. 137185-137185
Closed Access | Times Cited: 5
Future groundwater potential mapping using machine learning algorithms and climate change scenarios in Bangladesh
Showmitra Kumar Sarkar, Rhyme Rubayet Rudra, Swapan Talukdar, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Ensemble Machine Learning Techniques for Accurate and Efficient Detection of Botnet Attacks in Connected Computers
Stephen Afrifa, V. Vijayakumar, Peter Appiahene, et al.
Eng—Advances in Engineering (2023) Vol. 4, Iss. 1, pp. 650-664
Open Access | Times Cited: 21
Harnessing Machine Learning for Assessing Climate Change Influences on Groundwater Resources: A Comprehensive Review
Apoorva Bamal, Md Galal Uddin, Agnieszka I. Olbert
Heliyon (2024) Vol. 10, Iss. 17, pp. e37073-e37073
Open Access | Times Cited: 8
Application of bagging and boosting ensemble machine learning techniques for groundwater potential mapping in a drought-prone agriculture region of eastern India
Krishnagopal Halder, Amit Kumar Srivastava, Anitabha Ghosh, et al.
Environmental Sciences Europe (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 7
Potential of machine learning algorithms in groundwater level prediction using temporal gravity data
Himangshu Sarkar, Swastik Sunil Goriwale, Jayanta K. Ghosh, et al.
Groundwater for Sustainable Development (2024) Vol. 25, pp. 101114-101114
Closed Access | Times Cited: 6
Mapping groundwater potentiality by using hybrid machine learning models under the scenario of climate variability: a national level study of Bangladesh
Showmitra Kumar Sarkar, Fahad Alshehri, Shahfahad, et al.
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 6
La integración de datos geológicos, hidrogeológicos y geofísicos con el fin de identificar los recursos de aguas subterráneas en zonas de basamento granítico (Macizo de Guéra, Chad)
Haroun Nouradine, Cyril Schamper, Danièle Valdés, et al.
Hydrogeology Journal (2024) Vol. 32, Iss. 3, pp. 759-784
Open Access | Times Cited: 5
Effect of Training Data Ratio and Normalizing on Fatigue Lifetime Prediction of Aluminum Alloys with Machine Learning
M. A. Matin, Mohammad Azadi
International Journal of Engineering (2024) Vol. 37, Iss. 7, pp. 1296-1305
Open Access | Times Cited: 5
Delineating groundwater potential zones using geospatial techniques and fuzzy analytical hierarchy process (FAHP) ensemble in the data-scarce region: evidence from the lower Thoubal river watershed of Manipur, India
Md Hibjur Rahaman, Haroon Sajjad, Roshani Singh, et al.
Arabian Journal of Geosciences (2022) Vol. 15, Iss. 8
Closed Access | Times Cited: 20
Spatial Prediction of Groundwater Withdrawal Potential Using Shallow, Hybrid, and Deep Learning Algorithms in the Toudgha Oasis, Southeast Morocco
Lamya Ouali, Lahcen Kabiri, Mustapha Namous, et al.
Sustainability (2023) Vol. 15, Iss. 5, pp. 3874-3874
Open Access | Times Cited: 13
Spatial prediction of groundwater potential by various novel boosting-based ensemble learning models in mountainous areas
Hanxiang Xiong, Xu Guo, Yuzhou Wang, et al.
Geocarto International (2023) Vol. 38, Iss. 1
Open Access | Times Cited: 12
Identification of Groundwater Potential Zones (GWPZ) Using Geospatial Techniques and AHP Method: a Case Study of the Boudinar Basin, Rif Belt (Morocco)
Morad Taher, Taoufik Mourabit, Issam Etebaai, et al.
Geomatics and Environmental Engineering (2023) Vol. 17, Iss. 3, pp. 83-105
Open Access | Times Cited: 11
MaxEnt machine learning model predicts high groundwater potential areas in a fractured volcanic aquifer system
Stefano Ballardin, Rossano Belladona, Tiago de Vargas, et al.
Journal of South American Earth Sciences (2024) Vol. 135, pp. 104794-104794
Closed Access | Times Cited: 4
Identification of groundwater potential zones in data-scarce mountainous region using explainable machine learning
Kshitij Dahal, Sandesh Sharma, Amin Shakya, et al.
Journal of Hydrology (2023) Vol. 627, pp. 130417-130417
Closed Access | Times Cited: 10
Machine Learning Techniques in Hydrogeological Research
Song He, Xiaoping Zhou, Yuan Liu, et al.
Springer hydrogeology (2025), pp. 137-164
Closed Access
Groundwater: A Critical Resource in a Changing Climate
Sarita Tiwari, P. C. Sinha, Manoj Khare, et al.
Environmental earth sciences (2025), pp. 221-239
Closed Access
Utilisation of Agro-Wastes as Adsorbents for Fluoride and Co-Existing Ions Adsorption from Groundwater Sourced from Bongo, Ghana
Ishmael Quaicoe, Nikao Adziman Lasidzi, Lyanne Korkor Amartey, et al.
Journal of Geoscience and Environment Protection (2025) Vol. 13, Iss. 04, pp. 252-268
Open Access
Developing a new method for future groundwater potentiality mapping under climate change in Bisha watershed, Saudi Arabia
Javed Mallick, Mohammed K. Al Mesfer, Majed Alsubih, et al.
Geocarto International (2022) Vol. 37, Iss. 26, pp. 14495-14527
Closed Access | Times Cited: 12
Delineation of flood risk terrains and rainfall visualisation in the North Western part of Ghana
Benjamin Wullobayi Dekongmen, Amos T. Kabo‐bah, Geophrey K. Anornu, et al.
Modeling Earth Systems and Environment (2024) Vol. 10, Iss. 3, pp. 4567-4594
Closed Access | Times Cited: 2
Advanced feature engineering in microgrid PV forecasting: A fast computing and data-driven hybrid modeling framework
Md. Ahasan Habib, M. J. Hossain
Renewable Energy (2024) Vol. 235, pp. 121258-121258
Open Access | Times Cited: 2
Groundwater potential mapping in arid and semi-arid regions of Kurdistan region of Iraq: A geoinformatics-based machine learning approach
Kaiwan K. Fatah, Yaseen T. Mustafa, Imaddadin O. Hassan
Groundwater for Sustainable Development (2024), pp. 101337-101337
Closed Access | Times Cited: 2
A machine learning approach to site groundwater contamination monitoring wells
Víctor Gómez‐Escalonilla, Esperanza Montero-González, Silvia Díaz-Alcaide, et al.
Applied Water Science (2024) Vol. 14, Iss. 12
Open Access | Times Cited: 2
Groundwater potential zoning by integrating multi-criteria decision and bivariate analysis methods – a case study on Cheyyar River Basin, Tamil Nadu, India
Vishnuvardan Narayanamurthi, Annadurai Ramasamy
Geocarto International (2022) Vol. 37, Iss. 26, pp. 14570-14595
Closed Access | Times Cited: 11
Page 1 - Next Page

Scroll to top