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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:

Soybean-MVS: Annotated Three-Dimensional Model Dataset of Whole Growth Period Soybeans for 3D Plant Organ Segmentation
Yongzhe Sun, Zhixin Zhang, Kai Sun, et al.
Agriculture (2023) Vol. 13, Iss. 7, pp. 1321-1321
Open Access | Times Cited: 12

Showing 12 citing articles:

Automated Phenotypic Analysis of Mature Soybean Using Multi-View Stereo 3D Reconstruction and Point Cloud Segmentation
Dongcan Cui, Pengfei Liu, Yunong Liu, et al.
Agriculture (2025) Vol. 15, Iss. 2, pp. 175-175
Open Access | Times Cited: 1
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
Maize stem–leaf segmentation framework based on deformable point clouds
Xin Yang, Miao Teng, Xueying Tian, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 211, pp. 49-66
Closed Access | Times Cited: 6
Comprehensive review on 3D point cloud segmentation in plants
Hongli Song, Weiliang Wen, Sheng Wu, et al.
Artificial Intelligence in Agriculture (2025)
Open Access
An image segmentation and point cloud registration combined scheme for sensing of obscured tree branches
Jian Zhang, Jinan Gu, Tiantian Hu, et al.
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 108960-108960
Closed Access | Times Cited: 4
Plant stem and leaf segmentation and phenotypic parameter extraction using neural radiance fields and lightweight point cloud segmentation networks
Guibin Qiao, Zhibin Zhang, Bin Niu, et al.
Frontiers in Plant Science (2025) Vol. 16
Open Access
A comparative study on point cloud down-sampling strategies for deep learning-based crop organ segmentation
Dawei Li, Yongchang Wei, Rongsheng Zhu
Plant Methods (2023) Vol. 19, Iss. 1
Open Access | Times Cited: 7
Delving into the Potential of Deep Learning Algorithms for Point Cloud Segmentation at Organ Level in Plant Phenotyping
Kai Xie, Jianzhong Zhu, He Ren, et al.
Remote Sensing (2024) Vol. 16, Iss. 17, pp. 3290-3290
Open Access | Times Cited: 2
TrackPlant3D: 3D organ growth tracking framework for organ-level dynamic phenotyping
Dawei Li, Lizhi Liu, Shan Xu, et al.
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109435-109435
Closed Access | Times Cited: 2
Cucumber seedlings segmentation network based on multi-view geometric graph encoder from 3D point clouds
Yonglong Zhang, Yaling Xie, Jialuo Zhou, et al.
Plant Phenomics (2024) Vol. 6
Open Access | Times Cited: 1
An Efficient and Automated Image Preprocessing Using Semantic Segmentation for Improving the 3D Reconstruction of Soybean Plants at the Vegetative Stage
Yongzhe Sun, Linxiao Miao, Ziming Zhao, et al.
Agronomy (2023) Vol. 13, Iss. 9, pp. 2388-2388
Open Access | Times Cited: 3
Application of Vision Technology and Artificial Intelligence in Smart Farming
Xiuguo Zou, Zheng Liu, Xiaochen Zhu, et al.
Agriculture (2023) Vol. 13, Iss. 11, pp. 2106-2106
Open Access | Times Cited: 2
Semantic Segmentation Method for High-Resolution Tomato Seedling Point Clouds Based on Sparse Convolution
Sam Fong Yau Li, Zhichao Yan, Boxiang Ma, et al.
Agriculture (2024) Vol. 15, Iss. 1, pp. 74-74
Open Access
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