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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:

Unleashing the power of machine learning and remote sensing for robust seasonal drought monitoring: A stacking ensemble approach
Xinlei Xu, Fangzheng Chen, Bin Wang, et al.
Journal of Hydrology (2024) Vol. 634, pp. 131102-131102
Closed Access | Times Cited: 11

Showing 11 citing articles:

Performance prediction and optimization of a high-efficiency tessellated diamond fractal MIMO antenna for terahertz 6G communication using machine learning approaches
Kamal Hossain Nahin, Jamal Hossain Nirob, Akil Ahmad Taki, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Meta Learner-Based Optimization for Antenna Efficiency Prediction and High-Performance Thz Mimo Antenna Applications
Md Ashraful Haque, Md. Kawsar Ahmed, Kamal Hossain Nahin, et al.
(2025)
Closed Access
Optimizing Stacked Ensemble Machine Learning Models for Accurate Wildfire Severity Mapping
Linh Nguyen Van, Giha Lee
Remote Sensing (2025) Vol. 17, Iss. 5, pp. 854-854
Open Access
Predicting Agricultural Drought in Central Europe by Using Machine Learning Algorithms
Endre Harsányi
Journal of Agriculture and Food Research (2025), pp. 101783-101783
Open Access
Mapping 1-km soybean yield across China from 2001 to 2020 based on ensemble learning
Min Zhang, Xinlei Xu, Junji Ou, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access
Drought Driving Factors as Revealed by Geographic Detector Model and Random Forest in Yunnan, China
Haiqin Qin, Douglas Schaefer, Ting Shen, et al.
Forests (2025) Vol. 16, Iss. 3, pp. 505-505
Open Access
Improving UAV hyperspectral monitoring accuracy of summer maize soil moisture content with an ensemble learning model fusing crop physiological spectral responses
Hao Liu, Junying Chen, Youzhen Xiang, et al.
European Journal of Agronomy (2024) Vol. 160, pp. 127299-127299
Closed Access | Times Cited: 4
Spatiotemporal Drought Assessment in Ningxia Autonomous Region: A Machine Learning and Remote Sensing Approach
M.M. Awais, Zakria Zaheen, Zainab Fatima, et al.
Deleted Journal (2024) Vol. 4, Iss. 02
Open Access
From data to decisions: Leveraging ML for improved river discharge forecasting in Bangladesh
Md. Abu Saleh, H. M. Rasel, Briti Ray
Watershed Ecology and the Environment (2024)
Open Access
Stacked Ensemble with Machine Learning Regressors on Optimal Features (SMOF) of hyperspectral sensor PRISMA for inland water turbidity prediction
Rajarshi Bhattacharjee, Shishir Gaur, Shard Chander, et al.
Environmental Science and Pollution Research (2024)
Closed Access
Mapping Soil Cadmium Content Using Multi-Spectral Satellite Images and Multiple-Residual-Stacking Model: Incorporating Information from Homologous Pollution and Spectrally Active Materials
Chao Tan, Haijun Luan, Qiuhua He, et al.
Journal of Hazardous Materials (2024) Vol. 485, pp. 136755-136755
Closed Access
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