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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:

A review of computer vision technologies for plant phenotyping
Zhenbo Li, Ruohao Guo, Meng Li, et al.
Computers and Electronics in Agriculture (2020) Vol. 176, pp. 105672-105672
Closed Access | Times Cited: 272

Showing 26-50 of 272 citing articles:

The Gray Mold Spore Detection of Cucumber Based on Microscopic Image and Deep Learning
Kaiyu Li, Xinyi Zhu, Qiao Chen, et al.
Plant Phenomics (2023) Vol. 5
Open Access | Times Cited: 23
Maize height estimation using combined unmanned aerial vehicle oblique photography and LIDAR canopy dynamic characteristics
Tao Liu, Shaolong Zhu, Tianle Yang, et al.
Computers and Electronics in Agriculture (2024) Vol. 218, pp. 108685-108685
Closed Access | Times Cited: 14
Foundation models in smart agriculture: Basics, opportunities, and challenges
Jiajia Li, Mingle Xu, Lirong Xiang, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109032-109032
Closed Access | Times Cited: 13
High-fidelity 3D reconstruction of plants using Neural Radiance Fields
Kewei Hu, Ying Wei, Yaoqiang Pan, et al.
Computers and Electronics in Agriculture (2024) Vol. 220, pp. 108848-108848
Open Access | Times Cited: 11
Aerial imagery-based tobacco plant counting framework for efficient crop emergence estimation
Ramsha Shahid, Waqar S. Qureshi, Umar Shahbaz Khan, et al.
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108557-108557
Closed Access | Times Cited: 10
Unlocking plant secrets: A systematic review of 3D imaging in plant phenotyping techniques
Muhammad Salman Akhtar, Zuhair Zafar, Raheel Nawaz, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109033-109033
Closed Access | Times Cited: 10
Convolutional neural network based encoder-decoder architectures for semantic segmentation of plants
Shrikrishna Kolhar, Jayant Jagtap
Ecological Informatics (2021) Vol. 64, pp. 101373-101373
Closed Access | Times Cited: 48
A Convolutional Neural Network-Based Method for Corn Stand Counting in the Field
Le Wang, Lirong Xiang, Lie Tang, et al.
Sensors (2021) Vol. 21, Iss. 2, pp. 507-507
Open Access | Times Cited: 42
3D modeling and reconstruction of plants and trees: A cross-cutting review across computer graphics, vision, and plant phenotyping
Fumio Okura
Breeding Science (2022) Vol. 72, Iss. 1, pp. 31-47
Open Access | Times Cited: 34
A miniaturized phenotyping platform for individual plants using multi-view stereo 3D reconstruction
Sheng Wu, Weiliang Wen, Wenbo Gou, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 32
A calculation method of phenotypic traits based on three-dimensional reconstruction of tomato canopy
Tianyu Zhu, Xiaodan Ma, Haiou Guan, et al.
Computers and Electronics in Agriculture (2022) Vol. 204, pp. 107515-107515
Closed Access | Times Cited: 31
Detection and Counting of Maize Leaves Based on Two-Stage Deep Learning with UAV-Based RGB Image
Xingmei Xu, Lu Wang, Meiyan Shu, et al.
Remote Sensing (2022) Vol. 14, Iss. 21, pp. 5388-5388
Open Access | Times Cited: 30
Improved 3D point cloud segmentation for accurate phenotypic analysis of cabbage plants using deep learning and clustering algorithms
Ruichao Guo, Jilong Xie, Jiaxi Zhu, et al.
Computers and Electronics in Agriculture (2023) Vol. 211, pp. 108014-108014
Closed Access | Times Cited: 19
Classification of bread wheat genotypes by machine learning algorithms
Adem Gölcük, Ali Yaşar
Journal of Food Composition and Analysis (2023) Vol. 119, pp. 105253-105253
Closed Access | Times Cited: 16
Stem–Leaf segmentation and phenotypic trait extraction of individual plant using a precise and efficient point cloud segmentation network
Jing‐Kun Yan, Fei Tan, Chengkai Li, et al.
Computers and Electronics in Agriculture (2024) Vol. 220, pp. 108839-108839
Open Access | Times Cited: 7
Adapting the Segment Anything Model for Plant Recognition and Automated Phenotypic Parameter Measurement
Wenqi Zhang, L. Minh Dang, Le Quan Nguyen, et al.
Horticulturae (2024) Vol. 10, Iss. 4, pp. 398-398
Open Access | Times Cited: 7
Review of deep learning-based methods for non-destructive evaluation of agricultural products
Zhenye Li, Dongyi Wang, Tingting Zhu, et al.
Biosystems Engineering (2024) Vol. 245, pp. 56-83
Closed Access | Times Cited: 6
Using high-throughput phenotyping platform MVS-Pheno to decipher the genetic architecture of plant spatial geometric 3D phenotypes for maize
Sheng Wu, Ying Zhang, Yanxin Zhao, et al.
Computers and Electronics in Agriculture (2024) Vol. 225, pp. 109259-109259
Closed Access | Times Cited: 6
Dynamic monitoring and counting for lotus flowers and seedpods with UAV based on improved YOLOv7-tiny
Ziwei Lyu, Yu Wang, Chenglong Huang, et al.
Computers and Electronics in Agriculture (2024) Vol. 225, pp. 109344-109344
Closed Access | Times Cited: 6
Research on species identification of wild grape leaves based on deep learning
Bowen Pan, Chonghuai Liu, Baofeng Su, et al.
Scientia Horticulturae (2024) Vol. 327, pp. 112821-112821
Closed Access | Times Cited: 5
The role of artificial intelligence in crop improvement
Karlene L. Negus, Xianran Li, Stephen M. Welch, et al.
Advances in agronomy (2024), pp. 1-66
Closed Access | Times Cited: 5
Plant-Denoising-Net (PDN): A plant point cloud denoising network based on density gradient field learning
J. Wu, Lirong Xiang, Hui You, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 210, pp. 282-299
Closed Access | Times Cited: 5
Image Processing and Support Vector Machine (SVM) for Classifying Environmental Stress Symptoms of Pepper Seedlings Grown in a Plant Factory
Sumaiya Islam, Samsuzzaman Samsuzzaman, Md Nasim Reza, et al.
Agronomy (2024) Vol. 14, Iss. 9, pp. 2043-2043
Open Access | Times Cited: 5
Quantitative analysis of watermelon fruit skin phenotypic traits via image processing and their potential in maturity and quality detection
Qing Gu, Tong Li, Ziwei Hu, et al.
Computers and Electronics in Agriculture (2025) Vol. 230, pp. 109960-109960
Closed Access
JuDifformer: Multimodal fusion model with transformer and diffusion for jujube disease detection
Lexin Zhang, Zaili Yang, Chengcheng Zhou, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110008-110008
Closed Access

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