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:

Prediction of Winter Wheat Yield Based on Multi-Source Data and Machine Learning in China
Jichong Han, Zhao Zhang, Juan Cao, et al.
Remote Sensing (2020) Vol. 12, Iss. 2, pp. 236-236
Open Access | Times Cited: 241

Showing 1-25 of 241 citing articles:

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: 520

Integrating Multi-Source Data for Rice Yield Prediction across China using Machine Learning and Deep Learning Approaches
Juan Cao, Zhao Zhang, Fulu Tao, et al.
Agricultural and Forest Meteorology (2020) Vol. 297, pp. 108275-108275
Closed Access | Times Cited: 244

Machine learning for large-scale crop yield forecasting
Dilli Paudel, Hendrik Boogaard, Allard de Wit, et al.
Agricultural Systems (2020) Vol. 187, pp. 103016-103016
Open Access | Times Cited: 226

Winter Wheat Yield Prediction at County Level and Uncertainty Analysis in Main Wheat-Producing Regions of China with Deep Learning Approaches
Xinlei Wang, Jianxi Huang, Quanlong Feng, et al.
Remote Sensing (2020) Vol. 12, Iss. 11, pp. 1744-1744
Open Access | Times Cited: 218

A Comprehensive Review of Crop Yield Prediction Using Machine Learning Approaches With Special Emphasis on Palm Oil Yield Prediction
Mamunur Rashid, Bifta Sama Bari, Yusri Yusup, et al.
IEEE Access (2021) Vol. 9, pp. 63406-63439
Open Access | Times Cited: 210

Google Earth Engine and Artificial Intelligence (AI): A Comprehensive Review
Liping Yang, Joshua Driscol, Sarigai Sarigai, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3253-3253
Open Access | Times Cited: 150

Sequential forward selection and support vector regression in comparison to LASSO regression for spring wheat yield prediction based on UAV imagery
Sahameh Shafiee, Lars Martin Bøe Lied, I. Burud, et al.
Computers and Electronics in Agriculture (2021) Vol. 183, pp. 106036-106036
Open Access | Times Cited: 138

Support Vector Machine in Precision Agriculture: A review
Zhi Hong Kok, Abdul Rashid Mohamed Shariff, Meftah Salem M. Alfatni, et al.
Computers and Electronics in Agriculture (2021) Vol. 191, pp. 106546-106546
Closed Access | Times Cited: 138

Wheat Yellow Rust Detection Using UAV-Based Hyperspectral Technology
Anting Guo, Wenjiang Huang, Yingying Dong, et al.
Remote Sensing (2021) Vol. 13, Iss. 1, pp. 123-123
Open Access | Times Cited: 137

Prediction of Field-Scale Wheat Yield Using Machine Learning Method and Multi-Spectral UAV Data
Chaofa Bian, Hongtao Shi, Suqin Wu, et al.
Remote Sensing (2022) Vol. 14, Iss. 6, pp. 1474-1474
Open Access | Times Cited: 81

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: 70

Improving wheat yield prediction integrating proximal sensing and weather data with machine learning
Guojie Ruan, Xinyu Li, Fei Yuan, et al.
Computers and Electronics in Agriculture (2022) Vol. 195, pp. 106852-106852
Closed Access | Times Cited: 70

A county-level soybean yield prediction framework coupled with XGBoost and multidimensional feature engineering
Yuanchao Li, Hongwei Zeng, Miao Zhang, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 118, pp. 103269-103269
Open Access | Times Cited: 68

Artificial Intelligence in Food Safety: A Decade Review and Bibliometric Analysis
Zhe Liu, Shuzhe Wang, Yudong Zhang, et al.
Foods (2023) Vol. 12, Iss. 6, pp. 1242-1242
Open Access | Times Cited: 65

Prediction of winter wheat yield and dry matter in North China Plain using machine learning algorithms for optimal water and nitrogen application
Ying Wang, Wen‐Juan Shi, Tianyang Wen
Agricultural Water Management (2023) Vol. 277, pp. 108140-108140
Open Access | Times Cited: 43

Securing a sustainable future: the climate change threat to agriculture, food security, and sustainable development goals
Anam Saleem, Sobia Anwar, Taufiq Nawaz, et al.
Journal of Umm Al-Qura University for Applied Sciences (2024)
Open Access | Times Cited: 35

Integrating data assimilation, crop model, and machine learning for winter wheat yield forecasting in the North China Plain
Huimin Zhuang, Zhao Zhang, Fei Cheng, et al.
Agricultural and Forest Meteorology (2024) Vol. 347, pp. 109909-109909
Closed Access | Times Cited: 26

A novel winter wheat yield prediction framework using fused spatial–temporal-spectral (STS) information from Sentinel-2 and Landsat 8 via improved Pix2Pix network
Haiyang Zhang, Yao Zhang, Fanghui Tong, et al.
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 109982-109982
Closed Access | Times Cited: 3

Remote sensing revolutionizing agriculture: Toward a new frontier
Xiaoding Wang, Haitao Zeng, Xu Yang, et al.
Future Generation Computer Systems (2025) Vol. 166, pp. 107691-107691
Closed Access | Times Cited: 2

Winter wheat yield prediction using linear and nonlinear machine learning algorithms based on climatological and remote sensing data
Muhammad Tahir Haseeb, Zainab Tahi, Syed Amer Mahmood, et al.
Information Processing in Agriculture (2025)
Open Access | Times Cited: 2

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: 102

Crop yield prediction from multi-spectral, multi-temporal remotely sensed imagery using recurrent 3D convolutional neural networks
Mengjia Qiao, Xiaohui He, Xijie Cheng, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 102, pp. 102436-102436
Open Access | Times Cited: 94

Crop Yield Estimation Using Deep Learning Based on Climate Big Data and Irrigation Scheduling
Khadijeh Alibabaei, Pedro Dinis Gaspar, Tânia M. Lima
Energies (2021) Vol. 14, Iss. 11, pp. 3004-3004
Open Access | Times Cited: 92

Geographically and temporally weighted neural network for winter wheat yield prediction
Luwei Feng, Yumiao Wang, Zhou Zhang, et al.
Remote Sensing of Environment (2021) Vol. 262, pp. 112514-112514
Open Access | Times Cited: 86

Machine learning for regional crop yield forecasting in Europe
Dilli Paudel, Hendrik Boogaard, Allard de Wit, et al.
Field Crops Research (2021) Vol. 276, pp. 108377-108377
Open Access | Times Cited: 86

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