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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:

Predicting Regional-Scale Elevated Groundwater Nitrate Contamination Risk Using Machine Learning on Natural and Human-Induced Factors
Soumyajit Sarkar, Abhijit Mukherjee, Srimanti Dutta Gupta, et al.
ACS ES&T Engineering (2022) Vol. 2, Iss. 4, pp. 689-702
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Revealing the drivers and genesis of NO3-N pollution classification in shallow groundwater of the Shaying River Basin by explainable machine learning and pathway analysis method
Yanjia Chu, Baonan He, Jiangtao He, et al.
The Science of The Total Environment (2024) Vol. 918, pp. 170742-170742
Closed Access | Times Cited: 15
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
Groundwater Salinity Across India: Predicting Occurrences and Controls by Field-Observations and Machine Learning Modeling
Soumyajit Sarkar, Kousik Das, Abhijit Mukherjee
Environmental Science & Technology (2024) Vol. 58, Iss. 8, pp. 3953-3965
Closed Access | Times Cited: 11
Advancing groundwater vulnerability assessment in Bangladesh: a comprehensive machine learning approach
Saima Sekander Raisa, Showmitra Kumar Sarkar, Md. Ashhab Sadiq
Groundwater for Sustainable Development (2024) Vol. 25, pp. 101128-101128
Closed Access | Times Cited: 11
Advancing groundwater quality predictions: Machine learning challenges and solutions
Juan Antonio Torres-Martínez, Jürgen Mahlknecht, Manish Kumar, et al.
The Science of The Total Environment (2024) Vol. 949, pp. 174973-174973
Closed Access | Times Cited: 10
Machine Learning Application for Nutrient Removal Rate Coefficient Analyses in Horizontal Flow Constructed Wetlands
Saurabh Singh, Abhishek Soti, Niha Mohan Kulshreshtha, et al.
ACS ES&T Water (2024) Vol. 4, Iss. 6, pp. 2619-2631
Closed Access | Times Cited: 9
Groundwater contamination and health risk assessment in Indian subcontinent: A geospatial approach
Ajay Kumar Taloor, Swati Sharma, Sukanya Suryakiran, et al.
Current Opinion in Environmental Science & Health (2024) Vol. 39, pp. 100555-100555
Closed Access | Times Cited: 9
Groundwater Nitrate Contamination in China: Spatial Distribution, Temporal Trend, and Driver Analysis
Qing Zhou, Jiangjiang Zhang, Kexin Xing, et al.
Environmental Research (2024) Vol. 262, pp. 119932-119932
Closed Access | Times Cited: 9
Nitrate prediction in groundwater of data scarce regions: The futuristic fresh-water management outlook
Jürgen Mahlknecht, Juan Antonio Torres-Martínez, Manish Kumar, et al.
The Science of The Total Environment (2023) Vol. 905, pp. 166863-166863
Open Access | Times Cited: 22
An efficient wastewater collection model for groundwater resource protection in smart cities
Balamurugan Janakiraman, Narayanan Kasthuri, Sudarsan J.S., et al.
Groundwater for Sustainable Development (2024) Vol. 25, pp. 101091-101091
Closed Access | Times Cited: 8
Application of machine learning in delineating groundwater contamination at present times and in climate change scenarios
Tridip Bhowmik, Soumyajit Sarkar, Somdipta Sen, et al.
Current Opinion in Environmental Science & Health (2024) Vol. 39, pp. 100554-100554
Closed Access | Times Cited: 7
Assessment of spatiotemporal risks for nationwide groundwater nitrate contamination
Zhan Yang, Zhilin Guo, Sacha Ruzzante, et al.
The Science of The Total Environment (2024) Vol. 947, pp. 174508-174508
Closed Access | Times Cited: 7
Prediction of elevated groundwater fluoride across India using multi-model approach: insights on the influence of geologic and environmental factors
Soumyajit Sarkar, Abhijit Mukherjee, Madhumita Chakraborty, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 11, pp. 31998-32013
Closed Access | Times Cited: 21
Hydro-chemical assessment of coastal groundwater aquifers for human health risk from elevated arsenic and fluoride in West Bengal, India
Tanmoy Biswas, Subodh Chandra Pal, Asish Saha
Marine Pollution Bulletin (2022) Vol. 186, pp. 114440-114440
Closed Access | Times Cited: 21
Superior nitrate and chromium reduction synergistically driven by multiple electron donors: Performance and the related biochemical mechanism
Zhongshuo Xu, Shihao Wang, Yinnan Chen, et al.
Environmental Pollution (2024) Vol. 358, pp. 124507-124507
Closed Access | Times Cited: 4
A Futuristic Approach to Subsurface-Constructed Wetland Design for the South-East Asian Region Using Machine Learning
Saurabh Singh, Gourav Suthar, Niha Mohan Kulshreshtha, et al.
ACS ES&T Water (2024) Vol. 4, Iss. 9, pp. 4061-4074
Closed Access | Times Cited: 4
Determination of bioavailable arsenic threshold and validation of modeled permissible total arsenic in paddy soil using machine learning
Jajati Mandal, Vinay Jain, Sudip Sengupta, et al.
Journal of Environmental Quality (2023) Vol. 52, Iss. 2, pp. 315-327
Open Access | Times Cited: 11
Machine Learning Models for Mapping Groundwater Pollution Risk: Advancing Water Security and Sustainable Development Goals in Georgia, USA
Smita Pandey, Srimanti Duttagupta, Avishek Dutta
Water (2025) Vol. 17, Iss. 6, pp. 879-879
Open Access
Nitrate contamination in groundwater across Switzerland: Spatial prediction and data-driven assessment of anthropogenic and environmental drivers
Gustavo Covatti, Kai-Yun Li, Joel Podgorski, et al.
The Science of The Total Environment (2025) Vol. 973, pp. 179121-179121
Open Access
Explainable Artificial Intelligence integrated with Machine learning operations to predict the nitrate concentrations in Groundwater
Jagadish Kumar Mogaraju
Research Square (Research Square) (2025)
Closed Access
Water pollution (SDG 6.3)
Anwesha Mukhopadhyay, Poulomee Coomar, Uttiya Dey, et al.
Elsevier eBooks (2024), pp. 77-94
Closed Access | Times Cited: 3
A new approach combining principal component factor analysis and K-means for identifying natural background levels of NO3-N in shallow groundwater of the Huaihe River Basin
Zhen Chen, Jiangtao He, Baonan He, et al.
The Science of The Total Environment (2024) Vol. 957, pp. 177120-177120
Closed Access | Times Cited: 3
Predicting Potential Climate Change Impacts on Groundwater Nitrate Pollution and Risk in an Intensely Cultivated Area of South Asia
Soumyajit Sarkar, Abhijit Mukherjee, Balaji Senapati, et al.
ACS Environmental Au (2022) Vol. 2, Iss. 6, pp. 556-576
Open Access | Times Cited: 12
Spatial distribution pattern and health risk of groundwater contamination by cadmium, manganese, lead and nitrate in groundwater of an arid area
Mohamad Sakizadeh, Chaosheng Zhang, A. Milewski
Environmental Geochemistry and Health (2024) Vol. 46, Iss. 3
Closed Access | Times Cited: 2
Controls on Groundwater Fluoride Contamination in Eastern Parts of India: Insights from Unsaturated Zone Fluoride Profiles and AI-Based Modeling
David Anand Aind, Pragnaditya Malakar, Soumyajit Sarkar, et al.
Water (2022) Vol. 14, Iss. 20, pp. 3220-3220
Open Access | Times Cited: 11
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