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:

Segmentation of structural parts of rosebush plants with 3D point-based deep learning methods
Kaya Turgut, Helin Dutağacı, Gilles Galopin, et al.
Plant Methods (2022) Vol. 18, Iss. 1
Open Access | Times Cited: 45

Showing 26-50 of 45 citing articles:

MASPC_Transform: A Plant Point Cloud Segmentation Network Based on Multi-Head Attention Separation and Position Code
Bin Li, Chenhua Guo
Sensors (2022) Vol. 22, Iss. 23, pp. 9225-9225
Open Access | Times Cited: 9
Cigarette perforation point cloud segmentation and hole depth calculation based on the improved PointNet++ network and DMCP algorithm
Ruizhao Chen, Yang Ming, Aizhang Guan, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 13, pp. 21048-21061
Closed Access | Times Cited: 1
Development of a digital phenotyping system using 3D model reconstruction for zoysiagrass
Sorawich Pongpiyapaiboon, Hidenori Tanaka, Masatsugu Hashiguchi, et al.
The Plant Phenome Journal (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 3
Research on Morphological Indicator Extraction Method of Pinus massoniana Lamb. Based on 3D Reconstruction
Yurong Li, Haifei Xia, Ying Liu, et al.
Forests (2023) Vol. 14, Iss. 9, pp. 1726-1726
Open Access | Times Cited: 3
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
Automatic trait estimation in floriculture using computer vision and deep learning
Manya Afonso, Maria‐João Paulo, Hubert Fonteijn, et al.
Smart Agricultural Technology (2023) Vol. 7, pp. 100383-100383
Open Access | Times Cited: 2
Breeding and Selection of Nursery Plants Assisted by High-Throughput Field Phenotyping Using UAV Imagery: Case Studies with Sweet Box (Sarcococca) and Garden Rose (Rosa)
Irene Borra‐Serrano, Katrijn Van Laere, Peter Lootens, et al.
Horticulturae (2022) Vol. 8, Iss. 12, pp. 1186-1186
Open Access | Times Cited: 3
A two-stage leaf-stem separation model for maize with high planting density with Terrestrial, Backpack and UAV based Laser Scanning
Lei Lei, Zhenhong Li, Hao Yang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-19
Closed Access
AI-based advances in crop disease detection and health improvement
Reeva Shahid, Syla Shahid, Jasleen Gund, et al.
Methods in microbiology (2024)
Closed Access
Crops3D: a diverse 3D crop dataset for realistic perception and segmentation toward agricultural applications
Jianzhong Zhu, Ruifang Zhai, He Ren, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access
Analysis of Current Advancement in 3D Point Cloud Semantic Segmentation
Koneru Pranav Sai, Sagar Dhanraj Pande
EAI Endorsed Transactions on Internet of Things (2023) Vol. 10
Open Access | Times Cited: 1
RPA and L-System Based Synthetic Data Generator for Cost-efficient Deep Learning Model Training
Erick Fiestas S., Oscar E. Ramos, Sixto Prado G.
2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE) (2021), pp. 645-650
Closed Access | Times Cited: 3
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 whole-community phenotyping to assess morphological and physiological features of plant communities in the field
Verena Zieschank, Robert R. Junker
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1
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
Research on Pixel-Level Grasp Configuration Prediction Method Based on Deep Neural Network
Xiuqing Yang, Yong Xiang, Jianquan Zhang, et al.
IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society (2023), pp. 1-5
Closed Access
Three-dimensional branch segmentation and phenotype extraction of maize tassel based on deep learning
Wenqi Zhang, Sheng Wu, Weiliang Wen, et al.
Research Square (Research Square) (2022)
Open Access
PST: Plant Segmentation Transformer for 3D Point Clouds of rapeseed plants at the podding stage
Ruiming Du, Zhihong Ma, Pengyao Xie, et al.
arXiv (Cornell University) (2022)
Open Access
Literature study on robotic tree harvesting and pruning : The Next Fruit 4.0 - Multifunctional robot deliverable 1
Pieter M. Blok, J. Hemming, Hitoshi Nishikawa, et al.
(2022)
Open Access
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