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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:

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

Showing 22 citing articles:

A Comprehensive Survey of Machine Learning Methodologies with Emphasis in Water Resources Management
Maria Drogkoula, Konstantinos Kokkinos, Nicholas Samaras
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12147-12147
Open Access | Times Cited: 48
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
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: 9
Innovative approaches to surface water quality management: advancing nitrate (NO3) forecasting with hybrid CNN-LSTM and CNN-GRU techniques
Sina Davoudi, Kiyoumars Roushangar
Modeling Earth Systems and Environment (2025) Vol. 11, Iss. 2
Closed Access | Times Cited: 1
Geochemical and isotopic studies of the Douda-Damerjogue aquifer (Republic of Djibouti): Origin of high nitrate and fluoride, spatial distribution, associated health risk assessment and prediction of water quality using machine learning
M.O. Awaleh, Tiziano Boschetti, Christelle Marlin, et al.
The Science of The Total Environment (2025) Vol. 967, pp. 178789-178789
Closed Access | Times Cited: 1
Deep-Learning-Driven Insights into Nitrogen Leaching for Sustainable Land Use and Agricultural Practices
Caixia Hu, Jie Li, Yong Pang, et al.
Land (2025) Vol. 14, Iss. 1, pp. 69-69
Open Access
Multi-indices approach for comprehensive appraisal of groundwater quality and the implication on human health in the Amaravathi basin, Southern India
Rajesh Rajendran, L. Elango, M. Sekhar, et al.
Environmental Monitoring and Assessment (2025) Vol. 197, Iss. 2
Closed Access
Integrating machine learning models for optimizing ecosystem health assessments through prediction of nitrate–N concentrations in the lower stretch of Ganga River, India
Basanta Kumar Das, Soumitra Paul, Biswajit Mandal, et al.
Environmental Science and Pollution Research (2025)
Closed Access
Research on the traceability and treatment of nitrate pollution in groundwater: a comprehensive review
Yuhao Liu, Yu Zhang, Haiyang Lv, et al.
Environmental Geochemistry and Health (2025) Vol. 47, Iss. 4
Closed Access
Machine Learning-based Model for Groundwater Quality Prediction: A Comprehensive Review and Future Time–Cost Effective Modelling Vision
Farhan ‘Ammar Fardush Sham, Ahmed El‐Shafie, Wan Zurina Binti Jaafar, et al.
Archives of Computational Methods in Engineering (2025)
Closed Access
A Novel Method to Forecast Nitrate Concentration Levels in Irrigation Areas for Sustainable Agriculture
Halil Karahan, Müge Erkan Can
Agriculture (2025) Vol. 15, Iss. 2, pp. 161-161
Open Access
Groundwater quality evolution across China
Qing Zhou, Jiangjiang Zhang, Shuyou Zhang, et al.
Nature Communications (2025) Vol. 16, Iss. 1
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
Identifying the spatial pattern and driving factors of nitrate in groundwater using a novel framework of interpretable stacking ensemble learning
Xuan Li, Guohua Liang, Lei Wang, et al.
Environmental Geochemistry and Health (2024) Vol. 46, Iss. 11
Open Access | Times Cited: 2
Assessing Nitrate Leaching and Runoff Coefficients in the Dynamic Interplay of Seasonal Crop Biomass: A Study of Surface and Groundwater Nitrate Contamination in the Bilate Cropland Watershed
Bereket Geberselassie Assa, Anirudh Bhowmick, Bisrat Elias Cholo
Environmental Advances (2024) Vol. 16, pp. 100528-100528
Open Access | Times Cited: 1
Key factors affecting groundwater nitrate levels in the Yinchuan Region, Northwest China: research using the eXtreme Gradient Boosting (XGBoost) model with the SHapley Additive exPlanations (SHAP) method
Shamsul Alam, Peiyue Li, M. Zillur Rahman, et al.
Environmental Pollution (2024) Vol. 364, pp. 125336-125336
Closed Access | Times Cited: 1
Evaluation of water quality in the Brahmani River basin, Odisha: A multicriteria decision-making approach for sustainable management
Abhijeet Das, Vivek Agarwal, Manish Kumar
Elsevier eBooks (2024), pp. 139-165
Closed Access
Utilizing multiple indices for a comprehensive appraisal of the quality of groundwater and threats to health in the Amaravathi Basin, India
Rajesh Rajendran, L. Elango, M. Sekhar, et al.
Research Square (Research Square) (2024)
Closed Access
Effortless alkalinity analysis using AI and smartphone technology, no equipment needed, from freshwater to saltwater
Zhiying Han, Zihan Zheng, Alan Y. Han, et al.
Eco-Environment & Health (2024) Vol. 4, Iss. 1, pp. 100125-100125
Open Access
Importance of Quality of Groundwater Resources in Transboundary River with Emphasis on Hydro-geochemical Properties, Case study: Aras Transboundary River (Northern Iran)
Farhad Ghayurdoost, Nasim Zolfaghari Firouzsalari, Sara Nikmaram, et al.
Water Air & Soil Pollution (2024) Vol. 236, Iss. 1
Closed Access
Inorganic Bioelectric System for Nitrate Removal with Low N2O Production at Cold Temperatures of 4 and 10°C
Mingyi Xu, Francesco Savio, Charlotte Kjærgaard, et al.
Water Research (2024) Vol. 274, pp. 123061-123061
Closed Access
A Data-Driven Approach to Predicting Melbourne Housing Prices Using Advanced Machine Learning Models
Jesmin Nahar, Chris Joo Yun
(2023), pp. 1-7
Closed Access
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