Open Access Helper

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:

Improved Point-Cloud Segmentation for Plant Phenotyping Through Class-Dependent Sampling of Training Data to Battle Class Imbalance
Frans P. Boogaard, E.J. van Henten, Gert Kootstra
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 20

Showing 20 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
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
The added value of 3D point clouds for digital plant phenotyping – A case study on internode length measurements in cucumber
Frans P. Boogaard, E.J. van Henten, Gert Kootstra
Biosystems Engineering (2023) Vol. 234, pp. 1-12
Open Access | Times Cited: 15
3D-NOD: 3D New Organ Detection in Plant Growth by a Spatiotemporal Point Cloud Deep Segmentation Framework
Dawei Li, Foysal Ahmed, Zhanjiang Wang
Plant Phenomics (2025), pp. 100002-100002
Open Access
SSL-NBV: A self-supervised-learning-based next-best-view algorithm for efficient 3D plant reconstruction by a robot
Jianchao Ci, E.J. van Henten, Xin Wang, et al.
Computers and Electronics in Agriculture (2025) Vol. 233, pp. 110121-110121
Open Access
Deep Learning-Based Plant Organ Segmentation and Phenotyping of Sorghum Plants Using LiDAR Point Cloud
Ajay Kumar Patel, Eun-Sung Park, Hongseok Lee, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 8492-8507
Open Access | Times Cited: 11
3D data-augmentation methods for semantic segmentation of tomato plant parts
Bolai Xin, Ji Sun, Harm Bartholomeus, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 8
Improved generalization of a plant-detection model for precision weed control
Thijs Ruigrok, E.J. van Henten, Gert Kootstra
Computers and Electronics in Agriculture (2022) Vol. 204, pp. 107554-107554
Open Access | Times Cited: 13
PSTNet: Transformer for aggregating neighborhood features in 3D point cloud semantic segmentation of eggplant plants
Linqian Ma, L Kong, Xingshuo Peng, et al.
Scientia Horticulturae (2024) Vol. 331, pp. 113158-113158
Closed Access | Times Cited: 2
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
A graph-based approach for simultaneous semantic and instance segmentation of plant 3D point clouds
Katia Mirande, Christophe Godin, Marie Tisserand, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 11
Machine learning techniques for plant disease detection: an evaluation with a customized dataset
Amatullah Fatwimah Humairaa Mahomodally, Geerish Suddul, Sandhya Armoogum
International Journal of Informatics and Communication Technology (IJ-ICT) (2023) Vol. 12, Iss. 2, pp. 127-127
Open Access | Times Cited: 4
An automatic 3D tomato plant stemwork phenotyping pipeline at internode level based on tree quantitative structural modelling algorithm
Bolai Xin, Katarína Smoleňová, Harm Bartholomeus, et al.
Computers and Electronics in Agriculture (2024) Vol. 227, pp. 109607-109607
Open Access
Handling intra-class imbalance in part-segmentation of different wheat cultivars
Reena Reena, John H. Doonan, Kevin Williams, et al.
Computers and Electronics in Agriculture (2024) Vol. 230, pp. 109826-109826
Open Access
Robustness of 3D point-based deep learning for plant organ segmentation against point density variation and noise
David Rousseau, Kaya Turgut, Helin Dutağacı
Authorea (Authorea) (2022)
Open Access | Times Cited: 2
Digital plant phenotyping in three dimensions: what’s the point?
Frans P. Boogaard
(2023)
Open Access
Using t-distributed stochastic neighbor embedding for visualization and segmentation of 3D point clouds of plants
Helin Dutağacı
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES (2023) Vol. 31, Iss. 5, pp. 792-813
Open Access
Three-Dimensional Imaging in Agriculture: Challenges and Advancements in the Phenotyping of Japanese Quinces in Latvia
E. Kaufmane, Edgars Edelmers, Kaspars Sudars, et al.
Horticulturae (2023) Vol. 9, Iss. 12, pp. 1347-1347
Open Access
Semantic Segmentation Network of Noisy Plant Point Cloud based on Self-Attention Feature Fusion
Chen Yang, An Zeng, Dan Pan, et al.
(2022), pp. 379-385
Closed Access
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