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:
Analysis and prediction of the changes in groundwater resources under heavy precipitation and ecological water replenishment
Bowen Shi, Chao Wan, Weiwu Hu, et al.
Journal of Water and Climate Change (2023) Vol. 14, Iss. 6, pp. 1762-1778
Open Access | Times Cited: 5
Bowen Shi, Chao Wan, Weiwu Hu, et al.
Journal of Water and Climate Change (2023) Vol. 14, Iss. 6, pp. 1762-1778
Open Access | Times Cited: 5
Showing 5 citing articles:
Enhancing groundwater level prediction accuracy using interpolation techniques in deep learning models
Erfan Abdi, Mumtaz Ali, Celso Augusto Guimarães Santos, et al.
Groundwater for Sustainable Development (2024) Vol. 26, pp. 101213-101213
Closed Access | Times Cited: 6
Erfan Abdi, Mumtaz Ali, Celso Augusto Guimarães Santos, et al.
Groundwater for Sustainable Development (2024) Vol. 26, pp. 101213-101213
Closed Access | Times Cited: 6
Harnessing Machine Learning for Assessing Climate Change Influences on Groundwater Resources: A Comprehensive Review
Apoorva Bamal, Md Galal Uddin, Agnieszka I. Olbert
Heliyon (2024) Vol. 10, Iss. 17, pp. e37073-e37073
Open Access | Times Cited: 6
Apoorva Bamal, Md Galal Uddin, Agnieszka I. Olbert
Heliyon (2024) Vol. 10, Iss. 17, pp. e37073-e37073
Open Access | Times Cited: 6
Characteristics of Groundwater Level Dynamics in Xi’an (2010–2020) and Groundwater Level Prediction for 2030 Using Regression Analysis and BP Neural Network: Implication to Groundwater Resources Management
Junyan Yang, Jianhua Wu, Yan Tian, et al.
Springer hydrogeology (2025), pp. 193-214
Closed Access
Junyan Yang, Jianhua Wu, Yan Tian, et al.
Springer hydrogeology (2025), pp. 193-214
Closed Access
Harnessing Machine Learning for Assessing Climate Change Influences on Groundwater Resources: A Comprehensive Review
Apoorva Bamal, Md Galal Uddin, Agnieszka I. Olbert
(2024)
Closed Access
Apoorva Bamal, Md Galal Uddin, Agnieszka I. Olbert
(2024)
Closed Access
A Systematic Review of Machine Learning Algorithms in Groundwater Level Simulations and Forecasting
Jesse Gilbert, Cyril D. Boateng, Jeffrey N. A. Aryee, et al.
EarthArXiv (California Digital Library) (2023)
Open Access | Times Cited: 1
Jesse Gilbert, Cyril D. Boateng, Jeffrey N. A. Aryee, et al.
EarthArXiv (California Digital Library) (2023)
Open Access | Times Cited: 1
