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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:

Phenotypic Traits Estimation and Preliminary Yield Assessment in Different Phenophases of Wheat Breeding Experiment Based on UAV Multispectral Images
Dessislava Ganeva, Eugenia Roumenina, Petar Dimitrov, et al.
Remote Sensing (2022) Vol. 14, Iss. 4, pp. 1019-1019
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Detection method of wheat spike improved YOLOv5s based on the attention mechanism
Hecang Zang, Yanjing Wang, Linyuan Ru, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 37
Rapid prediction of winter wheat yield and nitrogen use efficiency using consumer-grade unmanned aerial vehicles multispectral imagery
Jikai Liu, Yongji Zhu, Xinyu Tao, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 30
Estimation of Soybean Yield by Combining Maturity Group Information and Unmanned Aerial Vehicle Multi-Sensor Data Using Machine Learning
Pengting Ren, Heli Li, Shaoyu Han, et al.
Remote Sensing (2023) Vol. 15, Iss. 17, pp. 4286-4286
Open Access | Times Cited: 18
Enhancing phenotyping efficiency in faba bean breeding: integrating UAV imaging and machine learning
Shirin Mohammadi, Anne Kjersti Uhlen, Morten Lillemo, et al.
Precision Agriculture (2024) Vol. 25, Iss. 3, pp. 1502-1528
Open Access | Times Cited: 6
Improved YOLO-FastestV2 wheat spike detection model based on a multi-stage attention mechanism with a LightFPN detection head
Shunhao Qing, Zhaomei Qiu, Weili Wang, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 6
Estimation of wheat biophysical variables through UAV hyperspectral remote sensing using machine learning and radiative transfer models
Rabi Narayan Sahoo, R. G. Rejith, Shalini Gakhar, et al.
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 108942-108942
Closed Access | Times Cited: 5
A cooperative scheme for late leaf spot estimation in peanut using UAV multispectral images
Tej Bahadur Shahi, Cheng‐Yuan Xu, Arjun Neupane, et al.
PLoS ONE (2023) Vol. 18, Iss. 3, pp. e0282486-e0282486
Open Access | Times Cited: 11
Soybean seed composition prediction from standing crops using PlanetScope satellite imagery and machine learning
Supria Sarkar, Vasit Sagan, Sourav Bhadra, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 204, pp. 257-274
Open Access | Times Cited: 11
Grain Crop Yield Prediction Using Machine Learning Based on UAV Remote Sensing: A Systematic Literature Review
Jianghao Yuan, Yangliang Zhang, Zuojun Zheng, et al.
Drones (2024) Vol. 8, Iss. 10, pp. 559-559
Open Access | Times Cited: 4
Enhancing model performance through date fusion in multispectral and RGB image-based field phenotyping of wheat grain yield
Lukas Prey, Lukas Prey, Anja Hanemann, et al.
Precision Agriculture (2025) Vol. 26, Iss. 1
Open Access
RGB Composition Obtained by a UAV in the Monitoring of Sugarcane Row Gaps Using the Biophysical Index
Camila Gomes Bezerra de Melo, Mário M. Rolim, Roberta Q. Cavalcanti, et al.
AgriEngineering (2025) Vol. 7, Iss. 1, pp. 17-17
Open Access
Potential of RGB Spectral Information in the Selection of Wheat (Triticum aestivum L.) Genotypes Adapted to Early Drought and Salinity Stresses
Alan Mário Zuffo, Francisco Charles dos Santos Silva, Ricardo Mezzomo, et al.
Journal of Agronomy and Crop Science (2025) Vol. 211, Iss. 3
Open Access
Biometric analysis, biosynthetic pathway and multipurpose uses of buckwheat local varieties in Namsai district of eastern Himalayas in India
Avinash Sharma, Himanshu Pandey, Chowlani Manpoong, et al.
Trends in Food Science & Technology (2023) Vol. 136, pp. 251-267
Closed Access | Times Cited: 10
Faba Bean (Vicia faba L.) Yield Estimation Based on Dual-Sensor Data
Yuxing Cui, Yishan Ji, Rong Liu, et al.
Drones (2023) Vol. 7, Iss. 6, pp. 378-378
Open Access | Times Cited: 9
Multi-Model Rice Canopy Chlorophyll Content Inversion Based on UAV Hyperspectral Images
Hanhu Liu, Xiangqi Lei, Hui Liang, et al.
Sustainability (2023) Vol. 15, Iss. 9, pp. 7038-7038
Open Access | Times Cited: 8
Applications of UAVs: Image-Based Plant Phenotyping
Suchitra M. Patil, Sunita Choudhary, Jana Kholovà, et al.
Springer eBooks (2024), pp. 341-367
Closed Access | Times Cited: 2
Preharvest Durum Wheat Yield, Protein Content, and Protein Yield Estimation Using Unmanned Aerial Vehicle Imagery and Pléiades Satellite Data in Field Breeding Experiments
Dessislava Ganeva, Eugenia Roumenina, Petar Dimitrov, et al.
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 559-559
Open Access | Times Cited: 2
Analysis of Growth Variation in Maize Leaf Area Index Based on Time-Series Multispectral Images and Random Forest Models
Xuyang Wang, Jiaojiao Ren, Penghao Wu
Agronomy (2024) Vol. 14, Iss. 11, pp. 2688-2688
Open Access | Times Cited: 2
A Systematic Review on Crop Yield Prediction Using Machine Learning
Moon Halder, Ayon Datta, K. Siam, et al.
Lecture notes in networks and systems (2023), pp. 658-667
Closed Access | Times Cited: 6
Optimal weighted GAN and U-Net based segmentation for phenotypic trait estimation of crops using Taylor Coot algorithm
Sandip Debnath, Anusha Preetham, Vuppu Shankar, et al.
Applied Soft Computing (2023) Vol. 144, pp. 110396-110396
Closed Access | Times Cited: 5
Remotely Sensed Phenotypic Traits for Heritability Estimates and Grain Yield Prediction of Barley Using Multispectral Imaging from UAVs
Dessislava Ganeva, Eugenia Roumenina, Petar Dimitrov, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5008-5008
Open Access | Times Cited: 5
Utilizing satellite and UAV data for crop yield prediction and monitoring through deep learning
Sandeep Kumar Mathivanan, Prabhu Jayagopal
Acta Geophysica (2022) Vol. 70, Iss. 6, pp. 2991-3004
Closed Access | Times Cited: 7
A lightweight network for improving wheat ears detection and counting based on YOLOv5s
Xiaojun Shen, Chu Zhang, Kai Liu, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 2
The Role of a Novel Normalized Dynamically Adjusted Vegetation Index (Ndavi) Based on Remotely Sensed Absorption Coefficient for Estimating Crop Fapar: A Case Study of Rice (Oryza Sativa L.)
Yuanjin Li, Ningge Yuan, Yi Peng, et al.
(2024)
Closed Access
Evaluating PlanetScope and UAV Multispectral Data for Monitoring Winter Wheat and Sustainable Fertilization Practices in Mediterranean Agroecosystems
Ítalo Moletto‐Lobos, Krzysztof A. Cyran, Luciano Orden, et al.
Remote Sensing (2024) Vol. 16, Iss. 23, pp. 4474-4474
Open Access
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