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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:

Can ensemble machine learning be used to predict the groundwater level dynamics of farmland under future climate: a 10-year study on Huaibei Plain
Zewei Jiang, Shihong Yang, Zhenyang Liu, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 29, pp. 44653-44667
Closed Access | Times Cited: 18

Showing 18 citing articles:

Mathematical and Machine Learning Models for Groundwater Level Changes: A Systematic Review and Bibliographic Analysis
Stephen Afrifa, Tao Zhang, Peter Appiahene, et al.
Future Internet (2022) Vol. 14, Iss. 9, pp. 259-259
Open Access | Times Cited: 51
Combination of discretization regression with data-driven algorithms for modeling irrigation water quality indices
Dimple Dimple, Pradeep Kumar Singh, Jitendra Rajput, et al.
Ecological Informatics (2023) Vol. 75, pp. 102093-102093
Closed Access | Times Cited: 32
Groundwater level response identification by hybrid wavelet–machine learning conjunction models using meteorological data
Saeideh Samani, Meysam Vadiati, Zohre Nejatijahromi, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 9, pp. 22863-22884
Closed Access | Times Cited: 32
Comparison of Multiple Machine Learning Methods for Correcting Groundwater Levels Predicted by Physics-Based Models
Guanyin Shuai, Yan Zhou, Jingli Shao, et al.
Sustainability (2024) Vol. 16, Iss. 2, pp. 653-653
Open Access | Times Cited: 6
Shallow vs. Deep Learning Models for Groundwater Level Prediction: A Multi-Piezometer Data Integration Approach
Ali Yeganeh, Farshad Ahmadi, Yong Jie Wong, et al.
Water Air & Soil Pollution (2024) Vol. 235, Iss. 7
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
A hybrid wavelet–machine learning model for qanat water flow prediction
Saeideh Samani, Meysam Vadiati, Madjid Delkash, et al.
Acta Geophysica (2022) Vol. 71, Iss. 4, pp. 1895-1913
Closed Access | Times Cited: 27
Prediction of groundwater level using the hybrid model combining wavelet transform and machine learning algorithms
Aihua Wei, Yuanyao Chen, Duo Li, et al.
Earth Science Informatics (2022) Vol. 15, Iss. 3, pp. 1951-1962
Closed Access | Times Cited: 26
Impact of Climate Change on Groundwater Level Changes: An Evaluation Based on Deep Neural Networks
Stephen Afrifa, Tao Zhang, Peter Appiahene, et al.
Applied Computational Intelligence and Soft Computing (2025) Vol. 2025, Iss. 1
Open Access
Development of DNDC-BC model to estimate greenhouse gas emissions from rice paddy fields under combination of biochar and controlled irrigation management
Zewei Jiang, Shihong Yang, Pete Smith, et al.
Geoderma (2023) Vol. 433, pp. 116450-116450
Open Access | Times Cited: 11
Optimizing biochar application rate and predicting of climate change impacts on net greenhouse gas emissions in paddy systems using DNDC-BC model
Zewei Jiang, Shihong Yang, Qingqing Pang, et al.
Agricultural and Forest Meteorology (2025) Vol. 364, pp. 110461-110461
Closed Access
Climate change impact assessment on groundwater level changes: A study of hybrid model techniques
Stephen Afrifa, Tao Zhang, Xin Zhao, et al.
IET Signal Processing (2023) Vol. 17, Iss. 6
Open Access | Times Cited: 9
Spatial distribution pattern and health risk of groundwater contamination by cadmium, manganese, lead and nitrate in groundwater of an arid area
Mohamad Sakizadeh, Chaosheng Zhang, A. Milewski
Environmental Geochemistry and Health (2024) Vol. 46, Iss. 3
Closed Access | Times Cited: 2
Simulating soil salinity dynamics, cotton yield and evapotranspiration under drip irrigation by ensemble machine learning
Zewei Jiang, Shihong Yang, Shide Dong, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 6
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
Daily Variation and Regional Differences in Wind Power Output during Heat and Cold Wave Days in China
Yang Liu, Jie Bai
International Transactions on Electrical Energy Systems (2023) Vol. 2023, pp. 1-17
Open Access | Times Cited: 4
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
Development of Dndc-Bc Model to Estimate Greenhouse Gas Emissions from Rice Paddy Fields Under Combination of Biochar and Controlled Irrigation Management
Zewei Jiang, Shihong Yang, Pete Smith, et al.
SSRN Electronic Journal (2022)
Open Access
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