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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:

Enhancing leaf area index and biomass estimation in maize with feature augmentation from unmanned aerial vehicle-based nadir and cross-circling oblique photography
Shuaipeng Fei, Shunfu Xiao, Qing Li, et al.
Computers and Electronics in Agriculture (2023) Vol. 215, pp. 108462-108462
Closed Access | Times Cited: 12

Showing 12 citing articles:

An Overview of Machine Learning Applications on Plant Phenotyping, with a Focus on Sunflower
Luana Centorame, Thomas Gasperini, Alessio Ilari, et al.
Agronomy (2024) Vol. 14, Iss. 4, pp. 719-719
Open Access | Times Cited: 9
Enhancing the accuracy of monitoring effective tiller counts of wheat using multi-source data and machine learning derived from consumer drones
Ziheng Feng, Jiaxiang Cai, Ke Wu, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110120-110120
Closed Access | Times Cited: 1
Development of Simultaneous Localization and Mapping for Unmanned Aerial Vehicles using Hyperspectral Imaging Techniques
Gaurav Gondhalekar, Vaishali Tendoulkar, S. Halima Banu, et al.
SSRN Electronic Journal (2025)
Closed Access
A Method for Quantifying Mung Bean Field Planting Layouts Using UAV Images and an Improved YOLOv8-obb Model
Kun Yang, Xiaohua Sun, Ruofan Li, et al.
Agronomy (2025) Vol. 15, Iss. 1, pp. 151-151
Open Access
Three-Dimensional Reconstruction, Phenotypic Traits Extraction, and Yield Estimation of Shiitake Mushrooms Based on Structure from Motion and Multi-View Stereo
Xingmei Xu, Jiayuan Li, Jing Zhou, et al.
Agriculture (2025) Vol. 15, Iss. 3, pp. 298-298
Open Access
Enhancing maize above-ground biomass estimation through multispectral, digital and LiDAR fusion on UAV platforms
Ziheng Feng, Zheqing Yang, Liunan Suo, et al.
Agricultural Water Management (2025) Vol. 315, pp. 109551-109551
Open Access
Estimating Maize Crop Height and Aboveground Biomass Using Multi-Source Unmanned Aerial Vehicle Remote Sensing and Optuna-Optimized Ensemble Learning Algorithms
Yafeng Li, Changchun Li, Qian Cheng, et al.
Remote Sensing (2024) Vol. 16, Iss. 17, pp. 3176-3176
Open Access | Times Cited: 2
Combining 2D image and point cloud deep learning to predict wheat above ground biomass
Shaolong Zhu, Weijun Zhang, Tianle Yang, et al.
Precision Agriculture (2024)
Closed Access | Times Cited: 2
Photography as a tool for productivity estimation of individual grasses
Markus Neupert, Michaël Aubert, Estelle Langlois
Authorea (Authorea) (2024)
Open Access
Use of Unmanned Aerial Vehicles for Monitoring Pastures and Forages in Agricultural Sciences: A Systematic Review
Wagner Martins dos Santos, Lady Daiane Costa de Sousa Martins, Alan Cézar Bezerra, et al.
Drones (2024) Vol. 8, Iss. 10, pp. 585-585
Open Access
Estimation of Winter Wheat Stem Biomass by a Novel Two-Component and Two-Parameter Stratified Model Using Proximal Remote Sensing and Phenological Variables
Weinan Chen, Guijun Yang, Meng Yang, et al.
Remote Sensing (2024) Vol. 16, Iss. 22, pp. 4300-4300
Open Access
Rye Biomass Estimation Based on Multi-Temporal Series Uav Imagery
Wenyi Lu, Xiang Zhang, Masakazu Komatsuzaki, et al.
(2024)
Closed Access
Multi-Spectral Point Cloud Constructed with Advanced UAV Technique for Anisotropic Reflectance Analysis of Maize Leaves
Kaiyi Bi, Yifang Niu, Hao Yang, et al.
Remote Sensing (2024) Vol. 17, Iss. 1, pp. 93-93
Open Access
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