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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:

Wheat yield estimation using remote sensing data based on machine learning approaches
Enhui Cheng, Bing Zhang, Dailiang Peng, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

A research review on deep learning combined with hyperspectral Imaging in multiscale agricultural sensing
Luyu Shuai, Zhiyong Li, Ziao Chen, et al.
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108577-108577
Closed Access | Times Cited: 35
Deep learning techniques for hyperspectral image analysis in agriculture: A review
Mohamed Fadhlallah Guerri, Cosimo Distante, Paolo Spagnolo, et al.
ISPRS Open Journal of Photogrammetry and Remote Sensing (2024) Vol. 12, pp. 100062-100062
Open Access | Times Cited: 29
Developing machine learning models for wheat yield prediction using ground-based data, satellite-based actual evapotranspiration and vegetation indices
Mojtaba Naghdyzadegan Jahromi, Shahrokh Zand‐Parsa, Fatemeh Razzaghi, et al.
European Journal of Agronomy (2023) Vol. 146, pp. 126820-126820
Closed Access | Times Cited: 27
Applied Deep Learning-Based Crop Yield Prediction: A Systematic Analysis of Current Developments and Potential Challenges
Khadija Meghraoui, Imane Sebari, Jürgen Pilz, et al.
Technologies (2024) Vol. 12, Iss. 4, pp. 43-43
Open Access | Times Cited: 12
Deep Learning for Multi-Source Data-Driven Crop Yield Prediction in Northeast China
Jian Lü, Jian Li, Hongkun Fu, et al.
Agriculture (2024) Vol. 14, Iss. 6, pp. 794-794
Open Access | Times Cited: 12
UAV remote sensing phenotyping of wheat collection for response to water stress and yield prediction using machine learning
Vikas Sharma, Eija Honkavaara, Matthew Hayden, et al.
Plant Stress (2024) Vol. 12, pp. 100464-100464
Open Access | Times Cited: 11
Common Practices and Taxonomy in Deep Multiview Fusion for Remote Sensing Applications
Francisco Mena, Diego Arenas, Marlon Nuske, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 4797-4818
Open Access | Times Cited: 9
Applying Remote Sensing, Sensors, and Computational Techniques to Sustainable Agriculture: From Grain Production to Post-Harvest
Dágila Melo Rodrigues, Paulo Carteri Coradi, Newiton da Silva Timm, et al.
Agriculture (2024) Vol. 14, Iss. 1, pp. 161-161
Open Access | Times Cited: 8
Spatiotemporal Landsat-Sentinel-2 satellite imagery-based Hybrid Deep Neural network for paddy crop prediction using Google Earth engine
Preeti Saini, Bharti Nagpal
Advances in Space Research (2024) Vol. 73, Iss. 10, pp. 4988-5004
Closed 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
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
Improving wheat yield prediction through variable selection using Support Vector Regression, Random Forest, and Extreme Gradient Boosting
Juan Carlos Moreno Sánchez, Héctor Mesa, Adrián Trueba Espinosa, et al.
Smart Agricultural Technology (2025), pp. 100791-100791
Open Access
Android Malware prediction based on novel enhanced LSTM compared with random forest algorithms to predict accuracy
D. Lokesh, S. Parthiban
AIP conference proceedings (2025) Vol. 3252, pp. 020067-020067
Closed Access
Yield prediction, pest and disease diagnosis, soil fertility mapping, precision irrigation scheduling, and food quality assessment using machine learning and deep learning algorithms
S. Ajith, S Vijayakumar, N. Elakkiya
Discover Food (2025) Vol. 5, Iss. 1
Open Access
Durum Wheat (Triticum durum Desf.) Grain Yield and Protein Estimation by Multispectral UAV Monitoring and Machine Learning Under Mediterranean Conditions
Giuseppe Badagliacca, Gaetano Messina, Emilio Lo Presti, et al.
AgriEngineering (2025) Vol. 7, Iss. 4, pp. 99-99
Open Access
Using spectral vegetation indices and machine learning models for predicting the yield of sugar beet (Beta vulgaris L.) under different irrigation treatments
Hasan Ali İrik, Ewa Ropelewska, Necati Çetin
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 109019-109019
Closed Access | Times Cited: 4
Evaluating the efficiency of NDVI and climatic data in maize harvest prediction using machine learning
Mario E. Suaza-Medina, Jorge Laguna, Rubén Béjar, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 4
Crop Yield Prediction in Agriculture: A Comprehensive Review of Machine Learning and Deep Learning Approaches, with Insights for Future Research and Sustainability
Md Abu Jabed, Masrah Azrifah Azmi Murad
Heliyon (2024) Vol. 10, Iss. 24, pp. e40836-e40836
Open Access | Times Cited: 4
Modeling of winter wheat yield prediction based on solar-induced chlorophyll fluorescence by machine learning methods
Minxue Zheng, Han Hu, Yue Niu, et al.
European Journal of Remote Sensing (2025) Vol. 58, Iss. 1
Open Access
A two-leaf daily GPP model based on a rectangular hyperbolic model adjusted for air temperature and vegetation type
Qiuxiang Yi, Fumin Wang
Frontiers in Plant Science (2025) Vol. 16
Open Access
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: 3
A Deep–Learning Network for Wheat Yield Prediction Combining Weather Forecasts and Remote Sensing Data
Dailiang Peng, Enhui Cheng, Xuxiang Feng, et al.
Remote Sensing (2024) Vol. 16, Iss. 19, pp. 3613-3613
Open Access | Times Cited: 3
Estimation of grain protein content in commercial bread and durum wheat fields via traits inverted by radiative transfer modelling from Sentinel-2 timeseries
A. Longmire, T. Poblete, A. Hornero, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 206, pp. 49-62
Open Access | Times Cited: 8
Multilayer Data and Artificial Intelligence for the Delineation of Homogeneous Management Zones in Maize Cultivation
Diego José Gallardo-Romero, Orly Enrique Apolo-Apolo, Jorge Martínez-Guanter, et al.
Remote Sensing (2023) Vol. 15, Iss. 12, pp. 3131-3131
Open Access | Times Cited: 7
Crop Yield Estimation Using Sentinel-3 SLSTR, Soil Data, and Topographic Features Combined with Machine Learning Modeling: A Case Study of Nepal
Ghada Sahbeni, Balázs Székely, Peter K. Musyimi, et al.
AgriEngineering (2023) Vol. 5, Iss. 4, pp. 1766-1788
Open Access | Times Cited: 7
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