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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:

Nation-wide estimation of groundwater redox conditions and nitrate concentrations through machine learning
Lukas Knoll, Lutz Breuer, Martin Bach
Environmental Research Letters (2020) Vol. 15, Iss. 6, pp. 064004-064004
Open Access | Times Cited: 75

Showing 1-25 of 75 citing articles:

Predictive modeling of groundwater nitrate pollution and evaluating its main impact factors using random forest
Song He, Jianhua Wu, Dan Wang, et al.
Chemosphere (2021) Vol. 290, pp. 133388-133388
Closed Access | Times Cited: 168
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: 135
Machine learning predictions of nitrate in groundwater used for drinking supply in the conterminous United States
Katherine M. Ransom, Bernard T. Nolan, Paul E. Stackelberg, et al.
The Science of The Total Environment (2021) Vol. 807, pp. 151065-151065
Open Access | Times Cited: 118
Archetypes and Controls of Riverine Nutrient Export Across German Catchments
Pia Ebeling, Rohini Kumar, Michael Weber, et al.
Water Resources Research (2021) Vol. 57, Iss. 4
Open Access | Times Cited: 72
Random forest and nature-inspired algorithms for mapping groundwater nitrate concentration in a coastal multi-layer aquifer system
Quoc Bao Pham, Dang An Tran, Nam Thang Ha, et al.
Journal of Cleaner Production (2022) Vol. 343, pp. 130900-130900
Closed Access | Times Cited: 42
Predicting Redox Conditions in Groundwater at a National Scale Using Random Forest Classification
Anthony J. Tesoriero, Susan A. Wherry, Danielle I. Dupuy, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 11, pp. 5079-5092
Open Access | Times Cited: 12
Prediction of sulfate concentrations in groundwater in areas with complex hydrogeological conditions based on machine learning
Yushan Tian, Quanli Liu, Yao Ji, et al.
The Science of The Total Environment (2024) Vol. 923, pp. 171312-171312
Closed Access | Times Cited: 8
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: 8
Uncovering Current and Future Variations of Irrigation Water Use Across China Using Machine Learning
Kai Liu, Yong Bo, Xueke Li, et al.
Earth s Future (2024) Vol. 12, Iss. 3
Open Access | Times Cited: 7
Source identification of groundwater phosphorus under different geological settings in the central Yangtze River basin
Jun Zhou, Yao Du, Yamin Deng, et al.
Journal of Hydrology (2022) Vol. 612, pp. 128169-128169
Closed Access | Times Cited: 31
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: 29
Assessing nitrate groundwater hotspots in Europe reveals an inadequate designation of Nitrate Vulnerable Zones
João Serra, C. Marques-dos-Santos, Joana Marinheiro, et al.
Chemosphere (2024) Vol. 355, pp. 141830-141830
Open Access | Times Cited: 5
Disintegration and discourse: Cross-sectoral story-lines in the German water and forest debates
Sabeth Häublein, Chris Seijger, Andy Selter, et al.
Environmental Science & Policy (2024) Vol. 156, pp. 103743-103743
Open Access | Times Cited: 5
Machine Learning Techniques in Hydrogeological Research
Song He, Xiaoping Zhou, Yuan Liu, et al.
Springer hydrogeology (2025), pp. 137-164
Closed Access
Hydrogeochemical processes regulating groundwater quality and its suitability for drinking purposes in the recent alluvial plain, Blue Nile Region, Sudan
Yousif Hassan Mohamed Salh, Chunli Su, Javed Iqbal, et al.
Environmental Geochemistry and Health (2025) Vol. 47, Iss. 4
Closed Access
Application of novel framework approach for prediction of nitrate concentration susceptibility in coastal multi-aquifers, Bangladesh
Abu Reza Md. Towfiqul Islam, Subodh Chandra Pal, Indrajit Chowdhuri, et al.
The Science of The Total Environment (2021) Vol. 801, pp. 149811-149811
Closed Access | Times Cited: 38
Assessment of groundwater well vulnerability to contamination through physics-informed machine learning
Mario Soriano, Helen G. Siegel, Nicholaus P. Johnson, et al.
Environmental Research Letters (2021) Vol. 16, Iss. 8, pp. 084013-084013
Open Access | Times Cited: 35
Prediction of phosphorus concentrations in shallow groundwater in intensive agricultural regions based on machine learning
Heng Yang, Panlei Wang, Anqiang Chen, et al.
Chemosphere (2022) Vol. 313, pp. 137623-137623
Closed Access | Times Cited: 26
The global significance of abiotic factors affecting nitrate removal in woodchip bioreactors
Yuchuan Fan, Michael E. Essington, Sindhu Jagadamma, et al.
The Science of The Total Environment (2022) Vol. 848, pp. 157739-157739
Open Access | Times Cited: 24
QUADICA: water QUAlity, DIscharge and Catchment Attributes for large-sample studies in Germany
Pia Ebeling, Rohini Kumar, Stefanie Lutz, et al.
Earth system science data (2022) Vol. 14, Iss. 8, pp. 3715-3741
Open Access | Times Cited: 24
Application of data-mining technique and hydro-chemical data for evaluating vulnerability of groundwater in Indo-Gangetic Plain
Subodh Chandra Pal, Abu Reza Md. Towfiqul Islam, Rabin Chakrabortty, et al.
Journal of Environmental Management (2022) Vol. 318, pp. 115582-115582
Closed Access | Times Cited: 23
Accuracy assessment of inverse distance weighting interpolation of groundwater nitrate concentrations in Bavaria (Germany)
Paul L. Ohlert, Martin Bach, Lutz Breuer
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 4, pp. 9445-9455
Open Access | Times Cited: 22
Contrastive mechanisms of groundwater ammonium enrichment in different hydrogeologic settings
Shuai Shen, Teng Ma, Yao Du, et al.
The Science of The Total Environment (2023) Vol. 875, pp. 162542-162542
Closed Access | Times Cited: 14
Groundwater vulnerability to pollution in Africa’s Sahel region
Joel Podgorski, Oliver Kracht, Luis Araguás‐Araguás, et al.
Nature Sustainability (2024) Vol. 7, Iss. 5, pp. 558-567
Open Access | Times Cited: 4
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: 4
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