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:

Mapping of groundwater productivity potential with machine learning algorithms: A case study in the provincial capital of Baluchistan, Pakistan
Umair Rasool, Xinan Yin, Zongxue Xu, et al.
Chemosphere (2022) Vol. 303, pp. 135265-135265
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

A comparative assessment of flood susceptibility modelling of GIS-based TOPSIS, VIKOR, and EDAS techniques in the Sub-Himalayan foothills region of Eastern India
Rajib Mitra, Jayanta Das
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 6, pp. 16036-16067
Closed Access | Times Cited: 71
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: 27
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: 11
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: 11
Sensitivity analysis-driven machine learning approach for groundwater quality prediction: Insights from integrating ENTROPY and CRITIC methods
Imran Khan, Md. Ayaz
Groundwater for Sustainable Development (2024) Vol. 26, pp. 101309-101309
Closed Access | Times Cited: 7
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
Groundwater pollution and its remediation for sustainable water management
Peiyue Li, S. Chidambaram, Vetrimurugan Elumalai
Chemosphere (2023) Vol. 329, pp. 138621-138621
Closed Access | Times Cited: 18
Conjunct application of machine learning and game theory in groundwater quality mapping
Ali Nasiri Khiavi, Mohammad Tavoosi, Alban Kuriqi
Environmental Earth Sciences (2023) Vol. 82, Iss. 17
Open Access | Times Cited: 17
Multi-criteria decision-making for groundwater potentiality zonation in a groundwater scarce region in central India using methods of compensatory aggregating functions
Kailash Chandra Roy, Jonmenjoy Barman, Brototi Biswas
Groundwater for Sustainable Development (2024) Vol. 25, pp. 101101-101101
Closed Access | Times Cited: 7
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: 5
Assessing and predicting water quality index with key water parameters by machine learning models in coastal cities, China
Jing Xu, Yuming Mo, Senlin Zhu, et al.
Heliyon (2024) Vol. 10, Iss. 13, pp. e33695-e33695
Open Access | Times Cited: 5
Forest fire probability zonation using dNBR and machine learning models: a case study at the Similipal Biosphere Reserve (SBR), Odisha, India
Rajkumar Guria, Manoranjan Mishra, Samiksha Mohanta, et al.
Environmental Science and Pollution Research (2025)
Closed Access
Application of GIS-based data-driven bivariate statistical models for landslide prediction: a case study of highly affected landslide prone areas of Teesta River basin
Indrajit Poddar, Ranjan Roy
Quaternary Science Advances (2023) Vol. 13, pp. 100150-100150
Open Access | Times Cited: 15
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
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: 11
Effects of DEM resolution and application of solely DEM-derived indicators on groundwater potential mapping in the mountainous area
Hanxiang Xiong, Shilong Yang, Jiayao Tan, et al.
Journal of Hydrology (2024) Vol. 636, pp. 131349-131349
Closed Access | Times Cited: 3
Groundwater potential assessment using GIS-based ensemble learning models in Guanzhong Basin, China
Zitao Wang, Jianping Wang, Dongmei Yu, et al.
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 6
Closed Access | Times Cited: 10
Groundwater quality modeling and determining critical points: a comparison of machine learning to Best–Worst Method
Ali Nasiri Khiavi, Raoof Mostafazadeh, Maryam Adhami
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 54, pp. 115758-115775
Closed Access | Times Cited: 9
Comparison of Novel Hybrid and Benchmark Machine Learning Algorithms to Predict Groundwater Potentiality: Case of a Drought-Prone Region of Medjerda Basin, Northern Tunisia
Fatma Trabelsi, Salsebil Bel Hadj Ali, Saro Lee
Remote Sensing (2022) Vol. 15, Iss. 1, pp. 152-152
Open Access | Times Cited: 13
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
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
Climate-resilient strategies for sustainable groundwater management in Mahanadi River basin of Eastern India
Chiranjit Singha, Satiprasad Sahoo, Nguyen Dang Tinh, et al.
Acta Geophysica (2024)
Closed Access | Times Cited: 2
Mapping of groundwater availability in dry areas of rural and urban regions in India using IOT assisted deep learning classification model
S.A. Senthilkumar, A. Basi Reddy, Anna Alphy, et al.
Groundwater for Sustainable Development (2024) Vol. 25, pp. 101098-101098
Closed Access | Times Cited: 1
An integrated approach of support vector machine (SVM) and weight of evidence (WOE) techniques to map groundwater potential and assess water quality
Malik Talha Riaz, Muhammad Tayyib Riaz, Adnanul Rehman, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Groundwater potential mapping and mineralization assessment in Campo aquifers, Cameroon using AHP and multivariate statistical analysis
Serges Raoul Kouamou Njifen, Françoise Martine Enyegue A Nyam, Donald Hermann Fossi, et al.
Environment Development and Sustainability (2023) Vol. 26, Iss. 6, pp. 16095-16127
Closed Access | Times Cited: 3
Page 1 - Next Page

Scroll to top