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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:

Stem–Leaf Segmentation and Phenotypic Trait Extraction of Individual Maize Using Terrestrial LiDAR Data
Shichao Jin, Yanjun Su, Fangfang Wu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2018) Vol. 57, Iss. 3, pp. 1336-1346
Closed Access | Times Cited: 126

Showing 1-25 of 126 citing articles:

Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects
Shichao Jin, Xiliang Sun, Fangfang Wu, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 171, pp. 202-223
Closed Access | Times Cited: 154
LiDAR applications in precision agriculture for cultivating crops: A review of recent advances
Gilberto Rivera, Raúl Porras, Rogelio Florencia, et al.
Computers and Electronics in Agriculture (2023) Vol. 207, pp. 107737-107737
Closed Access | Times Cited: 104
Automatic organ-level point cloud segmentation of maize shoots by integrating high-throughput data acquisition and deep learning
Yinglun Li, Weiliang Wen, Miao Teng, et al.
Computers and Electronics in Agriculture (2022) Vol. 193, pp. 106702-106702
Closed Access | Times Cited: 88
PlantNet: A dual-function point cloud segmentation network for multiple plant species
Dawei Li, Guoliang Shi, Jinsheng Li, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 184, pp. 243-263
Closed Access | Times Cited: 84
A method for calculating and simulating phenotype of soybean based on 3D reconstruction
Xiaodan Ma, Bingxue Wei, Haiou Guan, et al.
European Journal of Agronomy (2024) Vol. 154, pp. 127070-127070
Closed Access | Times Cited: 19
Comprehensive review on 3D point cloud segmentation in plants
Hongli Song, Weiliang Wen, Sheng Wu, et al.
Artificial Intelligence in Agriculture (2025)
Open Access | Times Cited: 2
Individual tree branch and leaf metrics extraction in dense plantation scenario through the fusion of drone and terrestrial LiDAR
Yupan Zhang, Yiliu Tan, Xin Xu, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110070-110070
Closed Access | Times Cited: 2
Evaluating maize phenotype dynamics under drought stress using terrestrial lidar
Yanjun Su, Fangfang Wu, Zurui Ao, et al.
Plant Methods (2019) Vol. 15, Iss. 1
Open Access | Times Cited: 118
Lidar Boosts 3D Ecological Observations and Modelings: A Review and Perspective
Qinghua Guo, Yanjun Su, Tianyu Hu, et al.
IEEE Geoscience and Remote Sensing Magazine (2020) Vol. 9, Iss. 1, pp. 232-257
Open Access | Times Cited: 113
A Review of Crop Water Stress Assessment Using Remote Sensing
Uzair Ahmad, A. Alvino, Stefano Marino
Remote Sensing (2021) Vol. 13, Iss. 20, pp. 4155-4155
Open Access | Times Cited: 91
Three-dimensional photogrammetric mapping of cotton bolls in situ based on point cloud segmentation and clustering
Shangpeng Sun, Changying Li, Peng W. Chee, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2019) Vol. 160, pp. 195-207
Open Access | Times Cited: 83
Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks
Shichao Jin, Yanjun Su, Shang Gao, et al.
IEEE Transactions on Geoscience and Remote Sensing (2019) Vol. 58, Iss. 4, pp. 2644-2658
Closed Access | Times Cited: 80
Simulation of an Autonomous Mobile Robot for LiDAR-Based In-Field Phenotyping and Navigation
Jawad Iqbal, Rui Xu, Shangpeng Sun, et al.
Robotics (2020) Vol. 9, Iss. 2, pp. 46-46
Open Access | Times Cited: 80
Canopy occupation volume as an indicator of canopy photosynthetic capacity
Fusang Liu, Qingfeng Song, Jinke Zhao, et al.
New Phytologist (2021) Vol. 232, Iss. 2, pp. 941-956
Open Access | Times Cited: 65
Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives
Haiyu Tao, Shan Xu, Yongchao Tian, et al.
Plant Communications (2022) Vol. 3, Iss. 6, pp. 100344-100344
Open Access | Times Cited: 63
Automatic stem-leaf segmentation of maize shoots using three-dimensional point cloud
Miao Teng, Chao Zhu, Tongyu Xu, et al.
Computers and Electronics in Agriculture (2021) Vol. 187, pp. 106310-106310
Closed Access | Times Cited: 58
PSegNet: Simultaneous Semantic and Instance Segmentation for Point Clouds of Plants
Dawei Li, Jinsheng Li, Shiyu Xiang, et al.
Plant Phenomics (2022) Vol. 2022
Open Access | Times Cited: 40
A single plant segmentation method of maize point cloud based on Euclidean clustering and K-means clustering
Yanlong Miao, Shuai Li, Liuyang Wang, et al.
Computers and Electronics in Agriculture (2023) Vol. 210, pp. 107951-107951
Closed Access | Times Cited: 32
How to make sense of 3D representations for plant phenotyping: a compendium of processing and analysis techniques
Negin Harandi, Breght Vandenberghe, Joris Vankerschaver, et al.
Plant Methods (2023) Vol. 19, Iss. 1
Open Access | Times Cited: 32
Multi-Source Data Fusion Improves Time-Series Phenotype Accuracy in Maize under a Field High-Throughput Phenotyping Platform
Yinglun Li, Weiliang Wen, Jiangchuan Fan, et al.
Plant Phenomics (2023) Vol. 5
Open Access | Times Cited: 24
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: 24
A Method for Tomato Plant Stem and Leaf Segmentation and Phenotypic Extraction Based on Skeleton Extraction and Supervoxel Clustering
Yaxin Wang, Qi Liu, Jie Yang, et al.
Agronomy (2024) Vol. 14, Iss. 1, pp. 198-198
Open Access | Times Cited: 13
A Comprehensive Review of LiDAR Applications in Crop Management for Precision Agriculture
Sheikh Muhammad Farhan, Jianjun Yin, Zhijian Chen, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5409-5409
Open Access | Times Cited: 13
Branch architecture quantification of large-scale coniferous forest plots using UAV-LiDAR data
Shangshu Cai, Wuming Zhang, Shuhang Zhang, et al.
Remote Sensing of Environment (2024) Vol. 306, pp. 114121-114121
Closed Access | Times Cited: 11
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: 10
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