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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:

Machine learning technology for early prediction of grain yield at the field scale: A systematic review
Joerg Leukel, Tobias Zimpel, Christoph Stumpe
Computers and Electronics in Agriculture (2023) Vol. 207, pp. 107721-107721
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Machine Learning in Sustainable Agriculture: Systematic Review and Research Perspectives
Juan Botero-Valencia, Vanessa García Pineda, Alejandro Valencia-Arías, et al.
Agriculture (2025) Vol. 15, Iss. 4, pp. 377-377
Open Access | Times Cited: 4
Advancements in Utilizing Image-Analysis Technology for Crop-Yield Estimation
Yu Feng, Ming Wang, Jun Xiao, et al.
Remote Sensing (2024) Vol. 16, Iss. 6, pp. 1003-1003
Open Access | Times Cited: 9
Improved prediction of rice yield at field and county levels by synergistic use of SAR, optical and meteorological data
Weiguo Yu, Gaoxiang Yang, Dong Li, et al.
Agricultural and Forest Meteorology (2023) Vol. 342, pp. 109729-109729
Closed Access | Times Cited: 21
Ensemble learning-based crop yield estimation: a scalable approach for supporting agricultural statistics
Patric Brandt, Florian Beyer, Peter Borrmann, et al.
GIScience & Remote Sensing (2024) Vol. 61, Iss. 1
Open Access | Times Cited: 6
Can Yield Prediction Be Fully Digitilized? A Systematic Review
Nicoleta Darra, Evangelos Anastasiou, Olga Kriezi, et al.
Agronomy (2023) Vol. 13, Iss. 9, pp. 2441-2441
Open Access | Times Cited: 13
Yield and plant height predictions of irrigated maize through unmanned aerial vehicle in North Florida
Diego Arruda Huggins de Sá Leitão, Ayush K. Sharma, Aditya Singh, et al.
Computers and Electronics in Agriculture (2023) Vol. 215, pp. 108374-108374
Closed Access | Times Cited: 11
Crop Yield Prediction Using Machine Learning: An Extensive and Systematic Literature Review
Sarowar Morshed Shawon, Falguny Barua Ema, Asura Khanom Mahi, et al.
Smart Agricultural Technology (2024), pp. 100718-100718
Open Access | Times Cited: 5
Precision forecasting of fertilizer components’ concentrations in mixed variable-rate fertigation through machine learning
Menglong Wu, Jiajie Xiong, Ruoyu Li, et al.
Agricultural Water Management (2024) Vol. 298, pp. 108859-108859
Open Access | Times Cited: 4
Machine learning models for predicting physical properties in asphalt road construction: A systematic review
Joerg Leukel, Luca Scheurer, Vijayan Sugumaran
Construction and Building Materials (2024) Vol. 440, pp. 137397-137397
Open Access | Times Cited: 4
Overinterpretation of evaluation results in machine learning studies for maize yield prediction: A systematic review
Joerg Leukel, Luca Scheurer, Tobias Zimpel
Computers and Electronics in Agriculture (2025) Vol. 230, pp. 109892-109892
Open Access
Developing a modular and generalizable modeling framework for wheat yield prediction
Dehao Zhao
(2025)
Closed Access
Prediction and Mapping of Tobacco Yield with Fresh Leaf Mass Using Hyperspectral Sensing Data
Junying Li, Weichao Sun, Shuo Liu, et al.
Smart Agricultural Technology (2025), pp. 100855-100855
Open Access
Determining whether biochar can effectively increase crop yields: A machine learning model development with imbalanced data
Weidong Jiao, Kechao Li, Min Zhou, et al.
Environmental Technology & Innovation (2025), pp. 104154-104154
Open Access
Fundamentals of IoT and Machine Learning
Rajeshwari Sissodia, ManMohan Singh Rauthan, Varun Barthwal, et al.
IGI Global eBooks (2025), pp. 1-30
Closed Access
Agrometeorological modeling of the forage cactus cultivar Opuntia stricta (Haw.) Haw in different irrigation frequencies
Jaciara Ribeiro Miranda, Dermeval Araújo Furtado, Valquíria Cordeiro da Silva, et al.
Revista Brasileira de Engenharia Agrícola e Ambiental (2025) Vol. 29, Iss. 8
Open Access
Optimizing Forest Stand Aggregation in Fragmented Stands Using Graph Convolutional Networks: A Case Study in Japan
YangYu You, Hyun Bae Kim, Takuyuki Yoshioka
Smart Agricultural Technology (2025), pp. 100959-100959
Open Access
Cereal and Rapeseed Yield Forecast in Poland at Regional Level Using Machine Learning and Classical Statistical Models
Edyta Okupska, Dariusz Gozdowski, Rafał Pudełko, et al.
Agriculture (2025) Vol. 15, Iss. 9, pp. 984-984
Open Access
Does Precision Technologies Adoption Contribute to the Economic and Agri-Environmental Sustainability of Mediterranean Wheat Production? An Italian Case Study
Adele Finco, Deborah Bentivoglio, Matteo Belletti, et al.
Agronomy (2023) Vol. 13, Iss. 7, pp. 1818-1818
Open Access | Times Cited: 6
Early-Season forecasting of citrus block-yield using time series remote sensing and machine learning: A case study in Australian orchards
Luz Angelica Suarez, Andrew Robson, James Brinkhoff
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 122, pp. 103434-103434
Open Access | Times Cited: 5
Wheat Yield Prediction Using Unmanned Aerial Vehicle RGB-Imagery-Based Convolutional Neural Network and Limited Training Samples
Juncheng Ma, Yongfeng Wu, Binhui Liu, et al.
Remote Sensing (2023) Vol. 15, Iss. 23, pp. 5444-5444
Open Access | Times Cited: 5
Research Progress on the Application of Crop Yield Calculation based on Image Analysis Technology
Feng Yu, Ming Wang, Jun Xiao, et al.
(2024)
Open Access | Times Cited: 1
Leveraging digital infrastructure for sustainable grain production: evidence from China
Jiabin Han, Wei Ge, You-Li Chou
Frontiers in Sustainable Food Systems (2024) Vol. 8
Open Access | Times Cited: 1
Yield prediction through UAV-based multispectral imaging and deep learning in rice breeding trials
Hongkui Zhou, Fudeng Huang, Weidong Lou, et al.
Agricultural Systems (2024) Vol. 223, pp. 104214-104214
Closed Access | Times Cited: 1
Does Precision Technologies Adoption Contribute to the Economic and Agri-Environmental Sustainability of Mediterranean Wheat Production? An Italian Case Study
Adele Finco, Deborah Bentivoglio, Matteo Belletti, et al.
(2023)
Open Access | Times Cited: 3
Individualized Indicators and Estimation Methods for Tiger Nut (Cyperus esculentus L.) Tubers Yield Using Light Multispectral UAV and Lightweight CNN Structure
Dan Li, Xiuqin Wu
Drones (2023) Vol. 7, Iss. 7, pp. 432-432
Open Access | Times Cited: 3
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