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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:

Maize yield estimation in West Africa from crop process-induced combinations of multi-domain remote sensing indices
Louise Leroux, Mathieu Castets, Christian Baron, et al.
European Journal of Agronomy (2019) Vol. 108, pp. 11-26
Open Access | Times Cited: 120

Showing 1-25 of 120 citing articles:

Machine Learning Applications for Precision Agriculture: A Comprehensive Review
Abhinav Sharma, Arpit Jain, Prateek Gupta, et al.
IEEE Access (2020) Vol. 9, pp. 4843-4873
Open Access | Times Cited: 668
Machine Learning in Agriculture: A Comprehensive Updated Review
Lefteris Benos, Aristotelis C. Tagarakis, Georgios Dolias, et al.
Sensors (2021) Vol. 21, Iss. 11, pp. 3758-3758
Open Access | Times Cited: 526
County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model
Jie Sun, Liping Di, Ziheng Sun, et al.
Sensors (2019) Vol. 19, Iss. 20, pp. 4363-4363
Open Access | Times Cited: 288
Uniting remote sensing, crop modelling and economics for agricultural risk management
Elinor Benami, Zhenong Jin, Michael R. Carter, et al.
Nature Reviews Earth & Environment (2021) Vol. 2, Iss. 2, pp. 140-159
Closed Access | Times Cited: 185
An LSTM neural network for improving wheat yield estimates by integrating remote sensing data and meteorological data in the Guanzhong Plain, PR China
Huiren Tian, Pengxin Wang, Kevin Tansey, et al.
Agricultural and Forest Meteorology (2021) Vol. 310, pp. 108629-108629
Open Access | Times Cited: 141
Simultaneous corn and soybean yield prediction from remote sensing data using deep transfer learning
Saeed Khaki, Hieu Pham, Lizhi Wang
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 132
Integrating satellite-derived climatic and vegetation indices to predict smallholder maize yield using deep learning
Liangliang Zhang, Zhao Zhang, Yuchuan Luo, et al.
Agricultural and Forest Meteorology (2021) Vol. 311, pp. 108666-108666
Closed Access | Times Cited: 107
Developing machine learning models with multi-source environmental data to predict wheat yield in China
Linchao Li, Bin Wang, Puyu Feng, et al.
Computers and Electronics in Agriculture (2022) Vol. 194, pp. 106790-106790
Closed Access | Times Cited: 72
A model suitable for estimating above-ground biomass of potatoes at different regional levels
Yang Liu, Yiguang Fan, Jibo Yue, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109081-109081
Closed Access | Times Cited: 34
Incorporating environmental variables into a MODIS-based crop yield estimation method for United States corn and soybeans through the use of a random forest regression algorithm
Toshihiro Sakamoto
ISPRS Journal of Photogrammetry and Remote Sensing (2019) Vol. 160, pp. 208-228
Closed Access | Times Cited: 127
Combining spectral and textural information in UAV hyperspectral images to estimate rice grain yield
Fumin Wang, Qiuxiang Yi, Jinghui Hu, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 102, pp. 102397-102397
Open Access | Times Cited: 104
Crop yield forecasting and associated optimum lead time analysis based on multi-source environmental data across China
Linchao Li, Bin Wang, Puyu Feng, et al.
Agricultural and Forest Meteorology (2021) Vol. 308-309, pp. 108558-108558
Closed Access | Times Cited: 85
Evaluation of Land Suitability Methods with Reference to Neglected and Underutilised Crop Species: A Scoping Review
Hillary Mugiyo, Vimbayi Grace Petrova Chimonyo, Mbulisi Sibanda, et al.
Land (2021) Vol. 10, Iss. 2, pp. 125-125
Open Access | Times Cited: 79
The role of topography, soil, and remotely sensed vegetation condition towards predicting crop yield
Trenton E. Franz, Sayli Pokal, Justin Gibson, et al.
Field Crops Research (2020) Vol. 252, pp. 107788-107788
Open Access | Times Cited: 74
Estimation of Sugarcane Yield Using a Machine Learning Approach Based on UAV-LiDAR Data
Jingxian Xu, Jun Ma, Yanan Tang, et al.
Remote Sensing (2020) Vol. 12, Iss. 17, pp. 2823-2823
Open Access | Times Cited: 73
A deep learning framework under attention mechanism for wheat yield estimation using remotely sensed indices in the Guanzhong Plain, PR China
Huiren Tian, Pengxin Wang, Kevin Tansey, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 102, pp. 102375-102375
Open Access | Times Cited: 70
Mapping maize crop coefficient Kc using random forest algorithm based on leaf area index and UAV-based multispectral vegetation indices
Guomin Shao, Wenting Han, Huihui Zhang, et al.
Agricultural Water Management (2021) Vol. 252, pp. 106906-106906
Closed Access | Times Cited: 68
The Optimal Phenological Phase of Maize for Yield Prediction with High-Frequency UAV Remote Sensing
Bin Yang, Wanxue Zhu, Ehsan Eyshi Rezaei, et al.
Remote Sensing (2022) Vol. 14, Iss. 7, pp. 1559-1559
Open Access | Times Cited: 46
Field-scale rice yield prediction from Sentinel-2 monthly image composites using machine learning algorithms
Nguyễn Thanh Sơn, Chi-Farn Chen, Youg-Sin Cheng, et al.
Ecological Informatics (2022) Vol. 69, pp. 101618-101618
Closed Access | Times Cited: 46
Faba bean above-ground biomass and bean yield estimation based on consumer-grade unmanned aerial vehicle RGB images and ensemble learning
Yishan Ji, Rong Liu, Yonggui Xiao, et al.
Precision Agriculture (2023) Vol. 24, Iss. 4, pp. 1439-1460
Closed Access | Times Cited: 34
Enhancing snap bean yield prediction through synergistic integration of UAS-Based LiDAR and multispectral imagery
Fei Zhang, Amirhossein Hassanzadeh, Peter Letendre, et al.
Computers and Electronics in Agriculture (2025) Vol. 230, pp. 109923-109923
Open Access | Times Cited: 2
A Review: Potential of Earth Observation (EO) for Mapping Small-Scale Agriculture and Cropping Systems in West Africa
Niklas Heiss, Jonas Meier, Ursula Geßner, et al.
Land (2025) Vol. 14, Iss. 1, pp. 171-171
Open Access | Times Cited: 1
Sorghum yield prediction based on remote sensing and machine learning in conflict affected South Sudan
John Karongo, Joseph Ivivi Mwaniki, John Ndiritu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Corn Biomass Estimation by Integrating Remote Sensing and Long-Term Observation Data Based on Machine Learning Techniques
Liying Geng, Tao Che, Mingguo Ma, et al.
Remote Sensing (2021) Vol. 13, Iss. 12, pp. 2352-2352
Open Access | Times Cited: 50
Smart farming prediction models for precision agriculture: a comprehensive survey
Dekera Kenneth Kwaghtyo, Christopher Ifeanyi Eke
Artificial Intelligence Review (2022) Vol. 56, Iss. 6, pp. 5729-5772
Closed Access | Times Cited: 34
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