Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Three-dimensional branch segmentation and phenotype extraction of maize tassel based on deep learning
Wenqi Zhang, Sheng Wu, Weiliang Wen, et al.
Plant Methods (2023) Vol. 19, Iss. 1
Open Access | Times Cited: 10

Showing 10 citing articles:

Evaluation of Rapeseed Leave Segmentation Accuracy Using Binocular Stereo Vision 3D Point Clouds
Lili Zhang, S. Y. Shi, Muhammad Zain, et al.
Agronomy (2025) Vol. 15, Iss. 1, pp. 245-245
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
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
Comprehensive review on 3D point cloud segmentation in plants
Hongli Song, Weiliang Wen, Sheng Wu, et al.
Artificial Intelligence in Agriculture (2025)
Open Access
Facility of tomato plant organ segmentation and phenotypic trait extraction via deep learning
Jian Yao, Yan Gong, Zhengyan Xia, et al.
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 109957-109957
Closed Access
A Corn Point Cloud Stem-Leaf Segmentation Method Based on Octree Voxelization and Region Growing
QQ Zhu, Yu Ming
Agronomy (2025) Vol. 15, Iss. 3, pp. 740-740
Open Access
3D-based precise evaluation pipeline for maize ear rot using multi-view stereo reconstruction and point cloud semantic segmentation
Rui Yang, Yong He, Xiangyu Lǚ, et al.
Computers and Electronics in Agriculture (2023) Vol. 216, pp. 108512-108512
Closed Access | Times Cited: 3
High-Precision Automated Soybean Phenotypic Feature Extraction Based on Deep Learning and Computer Vision
Q. Y. Zhang, Ke-Jun Fan, Zhixi Tian, et al.
Plants (2024) Vol. 13, Iss. 18, pp. 2613-2613
Open Access
Comprehensive Analysis of Phenotypic Traits in Chinese Cabbage Using 3D Point Cloud Technology
Chongchong Yang, Lei Sun, Jun Zhang, et al.
Agronomy (2024) Vol. 14, Iss. 11, pp. 2506-2506
Open Access
Page 1

Scroll to top