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:
Integration of statistical models and ensemble machine learning algorithms (MLAs) for developing the novel hybrid groundwater potentiality models: a case study of semi-arid watershed in Saudi Arabia
Javed Mallick, Swapan Talukdar, Majed Alsubih, et al.
Geocarto International (2021) Vol. 37, Iss. 22, pp. 6442-6473
Open Access | Times Cited: 17
Javed Mallick, Swapan Talukdar, Majed Alsubih, et al.
Geocarto International (2021) Vol. 37, Iss. 22, pp. 6442-6473
Open Access | Times Cited: 17
Showing 17 citing articles:
Coupling Machine and Deep Learning with Explainable Artificial Intelligence for Improving Prediction of Groundwater Quality and Decision-Making in Arid Region, Saudi Arabia
Fahad Alshehri, Atiqur Rahman
Water (2023) Vol. 15, Iss. 12, pp. 2298-2298
Open Access | Times Cited: 28
Fahad Alshehri, Atiqur Rahman
Water (2023) Vol. 15, Iss. 12, pp. 2298-2298
Open Access | Times Cited: 28
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
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
A novel classifier for improving wetland mapping by integrating image fusion techniques and ensemble machine learning classifiers
Javed Mallick, Swapan Talukdar, Shahfahad, et al.
Ecological Informatics (2021) Vol. 65, pp. 101426-101426
Closed Access | Times Cited: 44
Javed Mallick, Swapan Talukdar, Shahfahad, et al.
Ecological Informatics (2021) Vol. 65, pp. 101426-101426
Closed Access | Times Cited: 44
Novel hybrid models to enhance the efficiency of groundwater potentiality model
Swapan Talukdar, Javed Mallick, Showmitra Kumar Sarkar, et al.
Applied Water Science (2022) Vol. 12, Iss. 4
Open Access | Times Cited: 34
Swapan Talukdar, Javed Mallick, Showmitra Kumar Sarkar, et al.
Applied Water Science (2022) Vol. 12, Iss. 4
Open Access | Times Cited: 34
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
Krishnagopal Halder, Amit Kumar Srivastava, Anitabha Ghosh, et al.
Environmental Sciences Europe (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 7
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: 5
Showmitra Kumar Sarkar, Fahad Alshehri, Shahfahad, et al.
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 5
Prediction of Groundwater Potential Zone Using Machine Learning and Geospatial Approaches for an Industry-Dominated Area in Narayanganj, Bangladesh
Md. Mahmudul Hasan, M. M. Shah Porun Rana, Md Tasim Ferdous
Journal of the Indian Society of Remote Sensing (2025)
Closed Access
Md. Mahmudul Hasan, M. M. Shah Porun Rana, Md Tasim Ferdous
Journal of the Indian Society of Remote Sensing (2025)
Closed Access
Delineation of groundwater potential zone by integrating groundwater quality parameters using geospatial techniques and multi-criteria decision analysis – a case study on Chennai coastal watershed, Tamil Nadu, India
Subramani Ravi, Karuppasamy Sudalaimuthu
Geocarto International (2022) Vol. 37, Iss. 27, pp. 16736-16768
Closed Access | Times Cited: 15
Subramani Ravi, Karuppasamy Sudalaimuthu
Geocarto International (2022) Vol. 37, Iss. 27, pp. 16736-16768
Closed Access | Times Cited: 15
Application of machine learning and Fuzzy AHP for identification of suitable groundwater potential zones using field based hydrogeophysical and soil hydraulic factors in a complex hydrogeological terrain
Sudipa Halder, Sayak Karmakar, Pratik Maiti, et al.
Groundwater for Sustainable Development (2024) Vol. 27, pp. 101329-101329
Closed Access | Times Cited: 2
Sudipa Halder, Sayak Karmakar, Pratik Maiti, et al.
Groundwater for Sustainable Development (2024) Vol. 27, pp. 101329-101329
Closed Access | Times Cited: 2
Impact of forestry on environment and human health: an evidence-based investigation
Abdullah Addas
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 6
Abdullah Addas
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 6
Comparing the Performance of Machine Learning Algorithms for Groundwater Mapping in Delhi
Zainab Khan, Mohammad Mohsin, Sk Ajim Ali, et al.
Journal of the Indian Society of Remote Sensing (2023) Vol. 52, Iss. 1, pp. 17-39
Closed Access | Times Cited: 5
Zainab Khan, Mohammad Mohsin, Sk Ajim Ali, et al.
Journal of the Indian Society of Remote Sensing (2023) Vol. 52, Iss. 1, pp. 17-39
Closed Access | Times Cited: 5
Modeling groundwater potential zones in the Kribi-Campo region, South Cameroon using geospatial techniques and statistical models
Serges Raoul Kouamou Njifen, Françoise Martine Enyegue A Nyam, Marcelin Bi-Alou Bikoro, et al.
Modeling Earth Systems and Environment (2022) Vol. 9, Iss. 1, pp. 913-935
Closed Access | Times Cited: 5
Serges Raoul Kouamou Njifen, Françoise Martine Enyegue A Nyam, Marcelin Bi-Alou Bikoro, et al.
Modeling Earth Systems and Environment (2022) Vol. 9, Iss. 1, pp. 913-935
Closed Access | Times Cited: 5
A national-level study on groundwater potentiality mapping using a hybrid machine learning models under the scenario of climate change
Showmitra Kumar Sarkar, Fahad Alshehri, Shahfahad, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 3
Showmitra Kumar Sarkar, Fahad Alshehri, Shahfahad, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 3
Enhancing drought resilience: machine learning–based vulnerability assessment in Uttar Pradesh, India
Barnali Kundu, Narendra Kumar Rana, Sonali Kundu
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 30, pp. 43005-43022
Closed Access
Barnali Kundu, Narendra Kumar Rana, Sonali Kundu
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 30, pp. 43005-43022
Closed Access
Predictive landslide susceptibility modeling in the southeastern hilly region of Bangladesh: application of machine learning algorithms in Khagrachari district
Md. Mahmudul Hasan, Sujit Kumar Roy, Md. Abu Talha, et al.
Environmental Science and Pollution Research (2024)
Closed Access
Md. Mahmudul Hasan, Sujit Kumar Roy, Md. Abu Talha, et al.
Environmental Science and Pollution Research (2024)
Closed Access
Depletion zones of groundwater resources in the Southwest Desert of Iraq
Marwah Abdullah Shlash, Imad Habeeb Obead
Open Engineering (2023) Vol. 13, Iss. 1
Open Access
Marwah Abdullah Shlash, Imad Habeeb Obead
Open Engineering (2023) Vol. 13, Iss. 1
Open Access
GI Science application for groundwater resources management and decision support
Gouri Sankar Bhunia, Pravat Kumar Shit, Soumen Brahma
Elsevier eBooks (2022), pp. 27-38
Closed Access
Gouri Sankar Bhunia, Pravat Kumar Shit, Soumen Brahma
Elsevier eBooks (2022), pp. 27-38
Closed Access
