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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:

Developing automated machine learning approach for fast and robust crop yield prediction using a fusion of remote sensing, soil, and weather dataset
Ahmed M. S. Kheir, Ajit Govind, Vinay Nangia, et al.
Environmental Research Communications (2024) Vol. 6, Iss. 4, pp. 041005-041005
Open Access | Times Cited: 7

Showing 7 citing articles:

Remote sensing-based winter wheat yield estimation integrating machine learning and crop growth multi-scenario simulations
Xin Du, Jiong Zhu, Jingyuan Xu, et al.
International Journal of Digital Earth (2025) Vol. 18, Iss. 1
Open Access | Times Cited: 1
Improving wheat yield prediction through variable selection using Support Vector Regression, Random Forest, and Extreme Gradient Boosting
Juan Carlos Moreno Sánchez, Héctor Mesa, Adrián Trueba Espinosa, et al.
Smart Agricultural Technology (2025), pp. 100791-100791
Open Access
Yield prediction, pest and disease diagnosis, soil fertility mapping, precision irrigation scheduling, and food quality assessment using machine learning and deep learning algorithms
S. Ajith, S Vijayakumar, N. Elakkiya
Discover Food (2025) Vol. 5, Iss. 1
Open Access
Hybridization of process-based models, remote sensing, and machine learning for enhanced spatial predictions of wheat yield and quality
Ahmed M. S. Kheir, Ajit Govind, Vinay Nangia, et al.
Computers and Electronics in Agriculture (2025) Vol. 234, pp. 110317-110317
Open Access
Remote sensing and TerraClimate datasets for wheat yield prediction using machine learning
Alireza Araghi, Andrè Daccache
Smart Agricultural Technology (2025), pp. 100909-100909
Open Access
Impacts of climate change on spatial wheat yield and nutritional values using hybrid machine learning
Ahmed M. S. Kheir, Osama Ali, Ashifur Rahman Shawon, et al.
Environmental Research Letters (2024) Vol. 19, Iss. 10, pp. 104049-104049
Open Access | Times Cited: 3
Harnessing the power of machine learning for crop improvement and sustainable production
Seyed Mahdi Hosseiniyan Khatibi, Jauhar Ali
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 3
Predicting Crop Yield Productivity Using Machine Learning Algorithms: A Comparison of Linear and Non-linear Approaches
Murad Zeer, Mutaz Rasmi Abu Sara, Jawad Hasan Alkhateeb, et al.
Ahliya journal of business technology and MEAN economies. (2024) Vol. 1, Iss. 1, pp. 1-10
Closed Access
Data Analytics in Ensemble Learning for Effective Crop Yield Prediction
Deeksha Tripathi, Saroj Kumar Biswas, Barnana Baruah
Engineering Research Express (2024) Vol. 6, Iss. 3, pp. 035237-035237
Closed Access
Enhanced Crop Yield Forecasting Using Deep Reinforcement Learning and Multi-source Remote Sensing Data
Yogita Rahulsing Chavan, Brinthakumari Swamikan, Megha Varun Gupta, et al.
Remote Sensing in Earth Systems Sciences (2024)
Closed Access
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