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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:

Winter wheat yield estimation at the field scale using sentinel-2 data and deep learning
Guilong Xiao, Xueyou Zhang, Quandi Niu, et al.
Computers and Electronics in Agriculture (2023) Vol. 216, pp. 108555-108555
Closed Access | Times Cited: 18

Showing 18 citing articles:

Artificial Intelligence Techniques in Crop Yield Estimation Based on Sentinel-2 Data: A Comprehensive Survey
Muhammet Fatih Aslan, Kadir Sabancı, Busra Aslan
Sustainability (2024) Vol. 16, Iss. 18, pp. 8277-8277
Open Access | Times Cited: 10
Deep learning based radish and leaf segmentation for phenotype trait measurement
Nur Alam, A. S. M. Sharifuzzaman Sagar, L. Minh Dang, et al.
Signal Image and Video Processing (2025) Vol. 19, Iss. 2
Closed 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
Comparison of Attention Mechanism-Based Deep Learning and Transfer Strategies for Wheat Yield Estimation Using Multisource Temporal Drone Imagery
Shaohua Zhang, Xinghui Qi, Jianzhao Duan, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-23
Closed Access | Times Cited: 4
A GT-LSTM Spatio-Temporal Approach for Winter Wheat Yield Prediction: From the Field Scale to County Scale
Enhui Cheng, Fumin Wang, Dailiang Peng, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-18
Closed Access | Times Cited: 4
Spectral Bands vs. Vegetation Indices: An AutoML Approach for Processing Tomato Yield Predictions based on Sentinel-2 Imagery
Nicoleta Darra, Borja Espejo-García, Vasilis Psiroukis, et al.
Smart Agricultural Technology (2025), pp. 100805-100805
Open Access
An interpretable wheat yield estimation model using an attention mechanism-based deep learning framework with multiple remotely sensed variables
Mingqi Li, Pengxin Wang, Kevin Tansey, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 140, pp. 104579-104579
Closed Access
Regional simulation of water-carbon fluxes and winter wheat yield with assimilation of multi-source remote sensing data in the Haihe River Basin
Gangqiang Zhang, Tongren Xu, Shaomin Liu, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 140, pp. 104578-104578
Closed 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
Detection and attribution of cereal yield losses using Sentinel-2 and weather data: A case study in South Australia
Keke Duan, Anton Vrieling, Michael Schlund, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 213, pp. 33-52
Open Access | Times Cited: 2
Assessing a machine learning-based downscaling framework for obtaining 1km daily precipitation from GPM data
Tao Sun, Nana Yan, Weiwei Zhu, et al.
Heliyon (2024) Vol. 10, Iss. 17, pp. e36368-e36368
Open Access | Times Cited: 2
Estimating Fraction of Absorbed Photosynthetically Active Radiation of Winter Wheat Based on Simulated Sentinel-2 Data under Different Varieties and Water Stress
Zheng Sun, Liang Sun, Yü Liu, et al.
Remote Sensing (2024) Vol. 16, Iss. 2, pp. 362-362
Open Access | Times Cited: 1
Uav Hyperspectral Imagery Mining to Identify New Spectral Indices for Predicting Field-Scale Yield of Spring Maize
Yue Zhang, Yansong Wang, H. Y. Hao, et al.
(2024)
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
Enhanced Corn Mapping with Height-Spectral Gaussian Mixture Modeling
Guilong Xiao, Jianxi Huang, Xuecao Li, et al.
(2024)
Closed Access
Multitemporal Hyperspectral Characterization of Wheat Infested by Wheat Stem Sawfly, Cephus cinctus Norton
Lochlin S. Ermatinger, Scott Powell, Robert K. D. Peterson, et al.
Remote Sensing (2024) Vol. 16, Iss. 18, pp. 3505-3505
Open Access
Winter Wheat Yield Estimation by Fusing CNN–MALSTM Deep Learning with Remote Sensing Indices
Changchun Li, Lei Zhang, Xifang Wu, et al.
Agriculture (2024) Vol. 14, Iss. 11, pp. 1961-1961
Open Access
Unmanned Aerial Vehicle (UAV) Hyperspectral Imagery Mining to Identify New Spectral Indices for Predicting the Field-Scale Yield of Spring Maize
Yue Zhang, Yansong Wang, H. Y. Hao, et al.
Sustainability (2024) Vol. 16, Iss. 24, pp. 10916-10916
Open Access
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