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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:

Prediction Modeling and Mapping of Groundwater Fluoride Contamination throughout India
Joel Podgorski, Pawan Labhasetwar, Dipankar Saha, et al.
Environmental Science & Technology (2018) Vol. 52, Iss. 17, pp. 9889-9898
Open Access | Times Cited: 200

Showing 1-25 of 200 citing articles:

Version 3 of the Global Aridity Index and Potential Evapotranspiration Database
Robert J. Zomer, Jianchu Xu, Antonio Trabucco
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 550
Machine Learning in Environmental Research: Common Pitfalls and Best Practices
Jun‐Jie Zhu, Meiqi Yang, Zhiyong Jason Ren
Environmental Science & Technology (2023) Vol. 57, Iss. 46, pp. 17671-17689
Closed Access | Times Cited: 250
Global analysis and prediction of fluoride in groundwater
Joel Podgorski, Michael Berg
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 239
Machine learning in natural and engineered water systems
Ruixing Huang, Chengxue Ma, Jun Ma, et al.
Water Research (2021) Vol. 205, pp. 117666-117666
Closed Access | Times Cited: 203
A Snapshot of the World's Groundwater Challenges
Upmanu Lall, Laureline Josset, T. A. Russo
Annual Review of Environment and Resources (2020) Vol. 45, Iss. 1, pp. 171-194
Open Access | Times Cited: 196
Concentration of fluoride in groundwater of India: A systematic review, meta-analysis and risk assessment
Shakir Ali, Yadolah Fakhri, Mehdi Golbini, et al.
Groundwater for Sustainable Development (2019) Vol. 9, pp. 100224-100224
Closed Access | Times Cited: 195
Co-occurrence, possible origin, and health-risk assessment of arsenic and fluoride in drinking water sources in Mexico: Geographical data visualization
María Teresa Alarcón Herrera, Daniel A. Martin-Alarcon, Mélida Gutiérrez, et al.
The Science of The Total Environment (2019) Vol. 698, pp. 134168-134168
Closed Access | Times Cited: 190
Scenario, perspectives and mechanism of arsenic and fluoride Co-occurrence in the groundwater: A review
Manish Kumar, Ritusmita Goswami, Arbind Kumar Patel, et al.
Chemosphere (2020) Vol. 249, pp. 126126-126126
Closed Access | Times Cited: 180
Fluoride-containing water: A global perspective and a pursuit to sustainable water defluoridation management -An overview
Carl Francis Z. Lacson, Ming‐Chun Lu, Yao-Hui Huang
Journal of Cleaner Production (2020) Vol. 280, pp. 124236-124236
Closed Access | Times Cited: 162
Application of machine learning in groundwater quality modeling - A comprehensive review
Ryan Haggerty, Jianxin Sun, Hongfeng Yu, et al.
Water Research (2023) Vol. 233, pp. 119745-119745
Open Access | Times Cited: 155
Escalating arsenic contamination throughout Chinese soils
Shuyou Zhang, Jiangjiang Zhang, Lili Niu, et al.
Nature Sustainability (2024) Vol. 7, Iss. 6, pp. 766-775
Closed Access | Times Cited: 50
Occurrence, predictors and hazards of elevated groundwater arsenic across India through field observations and regional-scale AI-based modeling
Abhijit Mukherjee, Soumyajit Sarkar, Madhumita Chakraborty, et al.
The Science of The Total Environment (2020) Vol. 759, pp. 143511-143511
Closed Access | Times Cited: 102
Co-occurrence of geogenic and anthropogenic contaminants in groundwater from Rajasthan, India
Rachel M. Coyte, Anjali Singh, Kirin E. Furst, et al.
The Science of The Total Environment (2019) Vol. 688, pp. 1216-1227
Closed Access | Times Cited: 98
Geochemical assessment of fluoride enriched groundwater and health implications from a part of Yavtmal District, India
Deepali Marghade, D. B. Malpe, N. Subba Rao, et al.
Human and Ecological Risk Assessment An International Journal (2019) Vol. 26, Iss. 3, pp. 673-694
Closed Access | Times Cited: 96
Evaluating the predictive power of different machine learning algorithms for groundwater salinity prediction of multi-layer coastal aquifers in the Mekong Delta, Vietnam
Dang An Tran, Maki Tsujimura, Nam Thang Ha, et al.
Ecological Indicators (2021) Vol. 127, pp. 107790-107790
Open Access | Times Cited: 96
Modeling regional-scale groundwater arsenic hazard in the transboundary Ganges River Delta, India and Bangladesh: Infusing physically-based model with machine learning
Madhumita Chakraborty, Soumyajit Sarkar, Abhijit Mukherjee, et al.
The Science of The Total Environment (2020) Vol. 748, pp. 141107-141107
Closed Access | Times Cited: 92
Occurrence and distribution of hexavalent chromium in groundwater from North Carolina, USA
Rachel M. Coyte, Kristen L. McKinley, Sheng Jiang, et al.
The Science of The Total Environment (2019) Vol. 711, pp. 135135-135135
Open Access | Times Cited: 88
Groundwater quality: Global threats, opportunities and realising the potential of groundwater
Dan Lapworth, Thomas B. Boving, David K. Kreamer, et al.
The Science of The Total Environment (2021) Vol. 811, pp. 152471-152471
Open Access | Times Cited: 85
Geochemical factors controlling the occurrence of high-fluoride groundwater in the western region of the Ordos basin, northwestern China
He Su, Jiading Wang, Jingtao Liu
Environmental Pollution (2019) Vol. 252, pp. 1154-1162
Closed Access | Times Cited: 83
Hydrogeochemical characterisation and health hazards of fluoride enriched groundwater in diverse aquifer types
Mobarok Hossain, Pulak Kumar Patra
Environmental Pollution (2019) Vol. 258, pp. 113646-113646
Closed Access | Times Cited: 82
Groundwater Arsenic Distribution in India by Machine Learning Geospatial Modeling
Joel Podgorski, Ruohan Wu, Biswajit Chakravorty, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 19, pp. 7119-7119
Open Access | Times Cited: 80
Prediction on the fluoride contamination in groundwater at the Datong Basin, Northern China: Comparison of random forest, logistic regression and artificial neural network
Mouigni Baraka Nafouanti, Junxia Li, Nasiru Abba Mustapha, et al.
Applied Geochemistry (2021) Vol. 132, pp. 105054-105054
Closed Access | Times Cited: 72
High levels of fluoride in groundwater from Northern parts of Indo-Gangetic plains reveals detrimental fluorosis health risks
Sarwar Nizam, H.S. Virk, Indra Sekhar Sen
Environmental Advances (2022) Vol. 8, pp. 100200-100200
Open Access | Times Cited: 70
Geogenic manganese and iron in groundwater of Southeast Asia and Bangladesh – Machine learning spatial prediction modeling and comparison with arsenic
Joel Podgorski, Dahyann Araya, Michael Berg
The Science of The Total Environment (2022) Vol. 833, pp. 155131-155131
Open Access | Times Cited: 57
Source and enrichment mechanism of fluoride in groundwater of the Hotan Oasis within the Tarim Basin, Northwestern China
Liwen Huang, Ziyong Sun, Aiguo Zhou, et al.
Environmental Pollution (2022) Vol. 300, pp. 118962-118962
Closed Access | Times Cited: 54
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