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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:

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

Showing 21 citing articles:

Modern computational approaches for rice yield prediction: A systematic review of statistical and machine learning-based methods
Djavan De Clercq, Adam Mahdi
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 109852-109852
Closed Access | Times Cited: 2
Construction and Optimization of Integrated Yield Prediction Model Based on Phenotypic Characteristics of Rice Grown in Small–Scale Plantations
Jihong Sun, Peng Tian, Zhaowen Li, et al.
Agriculture (2025) Vol. 15, Iss. 2, pp. 181-181
Open Access | Times Cited: 1
Yield estimation from SAR data using patch-based deep learning and machine learning techniques
Mahya G.Z. Hashemi, Pang‐Ning Tan, Ehsan Jalilvand, et al.
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109340-109340
Closed Access | Times Cited: 8
Feasibility of machine learning-based rice yield prediction in India at the district level using climate reanalysis and remote sensing data
Djavan De Clercq, Adam Mahdi
Agricultural Systems (2024) Vol. 220, pp. 104099-104099
Closed Access | Times Cited: 8
Analysis and forecasting of Australian rice yield using phenology-based aggregation of satellite and weather data
James Brinkhoff, Allister Clarke, Brian W. Dunn, et al.
Agricultural and Forest Meteorology (2024) Vol. 353, pp. 110055-110055
Open Access | Times Cited: 7
Review of synthetic aperture radar with deep learning in agricultural applications
Mahya G.Z. Hashemi, Ehsan Jalilvand, Hamed Alemohammad, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 218, pp. 20-49
Closed Access | Times Cited: 7
Wheat Yield Robust Prediction in the Huang-Huai-Hai Plain by Coupling Multi-Source Data with Ensemble Model under Different Irrigation and Extreme Weather Events
Yanxi Zhao, Jiaoyang He, Xia Yao, et al.
Remote Sensing (2024) Vol. 16, Iss. 7, pp. 1259-1259
Open Access | Times Cited: 4
Predicting wheat yield from 2001 to 2020 in Hebei Province at county and pixel levels based on synthesized time series images of Landsat and MODIS
Guanjin Zhang, Siti Nur Aliaa Roslan, Helmi Zulhaidi Mohd Shafri, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Algorithms for Plant Monitoring Applications: A Comprehensive Review
Giovanni Paolo Colucci, Paola Battilani, Marco Camardo Leggieri, et al.
Algorithms (2025) Vol. 18, Iss. 2, pp. 84-84
Open Access
HIDYM: A high-resolution gross primary productivity and dynamic harvest index based crop yield mapper
Weiguo Yu, Dong Li, Hengbiao Zheng, et al.
Remote Sensing of Environment (2024) Vol. 311, pp. 114301-114301
Closed Access | Times Cited: 3
Rice yield prediction through integration of biophysical parameters with SAR and optical remote sensing data using machine learning models
Sonam Sah, Dipanwita Haldar, RN Singh, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Winter Wheat Yield Prediction Based on the ASTGNN Model Coupled with Multi-Source Data
Zhicheng Ye, Xu Zhai, Tianlong She, et al.
Agronomy (2024) Vol. 14, Iss. 10, pp. 2262-2262
Open Access | Times Cited: 3
Upscaling and downscaling approaches for early season rice yield prediction using Sentinel-2 and machine learning for precision nitrogen fertilisation
Giorgio Impollonia, Michele Croci, Stefano Amaducci
Computers and Electronics in Agriculture (2024) Vol. 227, pp. 109603-109603
Open Access | Times Cited: 3
Predicting rice productivity for ground data-sparse regions: A transferable framework and its application to North Korea
Yu Shi, Lin Li, Bingyan Wu, et al.
The Science of The Total Environment (2024) Vol. 946, pp. 174227-174227
Closed Access | Times Cited: 2
Unveiling the impact of mulching film promotion on the food–water–environment–plastic nexus
Yifan Gu, Zixin Bian, Yufeng Wu, et al.
Resources Conservation and Recycling (2024) Vol. 209, pp. 107780-107780
Closed Access | Times Cited: 1
Accurate estimation of grain number per panicle in winter wheat by synergistic use of UAV imagery and meteorological data
Yapeng Wu, Weiguo Yu, Yangyang Gu, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 136, pp. 104320-104320
Closed Access | Times Cited: 1
Curating Multimodal Satellite Imagery for Precision Agriculture Datasets with Google Earth Engine
Bagus Setyawan Wijaya, Rinaldi Munir, Nugraha Priya Utama
Proceedings of The International Conference on Data Science and Official Statistics (2023) Vol. 2023, Iss. 1, pp. 368-381
Open Access | Times Cited: 1
Feasibility of Machine Learning-Based Rice Yield Prediction In India at the District Level Using Climate Reanalysis Data
Djavan De Clercq, Adam Mahdi
(2024)
Open Access
Accurate Estimation of Grain Number Per Panicle in Winter Wheat by Synergistic Use of Uav Imagery and Meteorological Data
Yapeng Wu, Weiguo Yu, Yangyang Gu, et al.
(2024)
Closed Access
Rice Yield Analysis and Forecasting Using Phenology-Based Time-Series Features
James Brinkhoff, Allister Clarke, Brian W. Dunn, et al.
(2023)
Closed Access
Transmission Line Fault Diagnosis Method Based on SDA-ISSA-XGBoost under Meteorological Factors
Kun Zhang
Journal of Physics Conference Series (2023) Vol. 2666, Iss. 1, pp. 012006-012006
Open Access
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