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:
Application of machine learning models in groundwater quality assessment and prediction: progress and challenges
Yanpeng Huang, Chao Wang, Yuanhao Wang, et al.
Frontiers of Environmental Science & Engineering (2023) Vol. 18, Iss. 3
Closed Access | Times Cited: 8
Yanpeng Huang, Chao Wang, Yuanhao Wang, et al.
Frontiers of Environmental Science & Engineering (2023) Vol. 18, Iss. 3
Closed Access | Times Cited: 8
Showing 8 citing articles:
Digital technologies for water use and management in agriculture: Recent applications and future outlook
Carlos Parra-López, Saker Ben Abdallah, Guillermo García-García, et al.
Agricultural Water Management (2025) Vol. 309, pp. 109347-109347
Open Access
Carlos Parra-López, Saker Ben Abdallah, Guillermo García-García, et al.
Agricultural Water Management (2025) Vol. 309, pp. 109347-109347
Open Access
Groundwater quality assessment using machine learning models: a comprehensive study on the industrial corridor of a semi-arid region
Loganathan Krishnamoorthy, V. Lakshmanan
Environmental Science and Pollution Research (2024)
Closed Access | Times Cited: 3
Loganathan Krishnamoorthy, V. Lakshmanan
Environmental Science and Pollution Research (2024)
Closed Access | Times Cited: 3
Quantifying seasonal variations in pollution sources with machine learning-enhanced positive matrix factorization
Yaotao Xu, Peng Li, Minghui Zhang, et al.
Ecological Indicators (2024) Vol. 166, pp. 112543-112543
Open Access | Times Cited: 3
Yaotao Xu, Peng Li, Minghui Zhang, et al.
Ecological Indicators (2024) Vol. 166, pp. 112543-112543
Open Access | Times Cited: 3
Demystifying Machine Learning: Applications in African Environmental Science and Engineering
Tadiwa Walter Muparutsa
European Journal of Theoretical and Applied Sciences (2024) Vol. 2, Iss. 3, pp. 688-705
Open Access | Times Cited: 1
Tadiwa Walter Muparutsa
European Journal of Theoretical and Applied Sciences (2024) Vol. 2, Iss. 3, pp. 688-705
Open Access | Times Cited: 1
WQI Improvement Based on XG-BOOST Algorithm and Exploration of Optimal Indicator Set
Jing Liu, Qi Chu, Wenchao Yuan, et al.
Sustainability (2024) Vol. 16, Iss. 24, pp. 10991-10991
Open Access
Jing Liu, Qi Chu, Wenchao Yuan, et al.
Sustainability (2024) Vol. 16, Iss. 24, pp. 10991-10991
Open Access
Integrating an interpolation technique and AI models using Bayesian model averaging to enhance groundwater level monitoring
Nan Wang, Zhixian Wang
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access
Nan Wang, Zhixian Wang
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access
Recent advances in groundwater pollution research using machine learning from 2000 to 2023: a bibliometric analysis
Xuan Li, Guohua Liang, Bin He, et al.
Environmental Research (2024) Vol. 267, pp. 120683-120683
Closed Access
Xuan Li, Guohua Liang, Bin He, et al.
Environmental Research (2024) Vol. 267, pp. 120683-120683
Closed Access
A Surrogate Approach to Model Groundwater Level in Time and Space Based on Tree Regressors
Pedro Martínez‐Santos, Víctor Gómez‐Escalonilla, Silvia Díaz-Alcaide, et al.
(2024)
Closed Access
Pedro Martínez‐Santos, Víctor Gómez‐Escalonilla, Silvia Díaz-Alcaide, et al.
(2024)
Closed Access
