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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:

A Deep Learning Network for Individual Tree Segmentation in UAV Images with a Coupled CSPNet and Attention Mechanism
Lujin Lv, Xuejian Li, Fangjie Mao, et al.
Remote Sensing (2023) Vol. 15, Iss. 18, pp. 4420-4420
Open Access | Times Cited: 14

Showing 14 citing articles:

Methods and datasets on semantic segmentation for Unmanned Aerial Vehicle remote sensing images: A review
Jian Cheng, Changjian Deng, Yanzhou Su, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 211, pp. 1-34
Closed Access | Times Cited: 18
Double-Branch Multi-Scale Contextual Network: A Model for Multi-Scale Street Tree Segmentation in High-Resolution Remote Sensing Images
Hongyang Zhang, Shuo Liu
Sensors (2024) Vol. 24, Iss. 4, pp. 1110-1110
Open Access | Times Cited: 7
Tree-level carbon stock estimations across diverse species using multi-source remote sensing integration
Qing X. Li, Jia Yin, Xiaoxin Zhang, et al.
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 109904-109904
Closed Access
Assessment of Trees’ Structural Defects via Hybrid Deep Learning Methods Used in Unmanned Aerial Vehicle (UAV) Observations
Qiwen Qiu, Denvid Lau
Forests (2024) Vol. 15, Iss. 8, pp. 1374-1374
Open Access | Times Cited: 3
A Review of Semantic Segmentation and Instance Segmentation Techniques in Forestry Using LiDAR and Imagery Data
Krzysztof Wołk, Marek S. Tatara
Electronics (2024) Vol. 13, Iss. 20, pp. 4139-4139
Open Access | Times Cited: 2
A multi-branch dual attention segmentation network for epiphyte drone images
V. V. Sajith Variyar, V. Sowmya, Ramesh Sivanpillai, et al.
Image and Vision Computing (2024) Vol. 148, pp. 105099-105099
Closed Access | Times Cited: 1
CDNet: object detection based on cross-level aggregation and deformable attention for UAV aerial images
Tianxiang Huo, Zhenqi Liu, Shichao Zhang, et al.
The Visual Computer (2024)
Closed Access | Times Cited: 1
ALdamage-seg: A Lightweight Model for Instance Segmentation of Aluminum Profiles
Wenxuan Zhu, Bochao Su, Xinhe Zhang, et al.
Buildings (2024) Vol. 14, Iss. 7, pp. 2036-2036
Open Access
A Mixed Broadleaf Forest Segmentation Algorithm Based on Memory and Convolution Attention Mechanisms
Xing Tang, Zheng Li, Wenfei Zhao, et al.
Forests (2024) Vol. 15, Iss. 8, pp. 1310-1310
Open Access
A Hierarchic Method of Individual Tree Canopy Segmentation Combing UAV Image and LiDAR
Rui Wang, Chunhua Hu, Jiangang Han, et al.
Arabian Journal for Science and Engineering (2024)
Closed Access
A comprehensive review on tree detection methods using point cloud and aerial imagery from unmanned aerial vehicles
Weijie Kuang, Hann Woei Ho, Ye Zhou, et al.
Computers and Electronics in Agriculture (2024) Vol. 227, pp. 109476-109476
Closed Access
TreeSeg—A Toolbox for Fully Automated Tree Crown Segmentation Based on High-Resolution Multispectral UAV Data
Sönke Speckenwirth, Melanie Brandmeier, Sebastian Paczkowski
Remote Sensing (2024) Vol. 16, Iss. 19, pp. 3660-3660
Open Access
Deep Learning for Urban Tree Canopy Coverage Analysis: A Comparison and Case Study
Grayson R. Morgan, Danny Zlotnick, L. P. North, et al.
Geomatics (2024) Vol. 4, Iss. 4, pp. 412-432
Open Access
Utilizing active learning and attention-CNN to classify vegetation based on UAV multispectral data
Sheng Miao, Chuan-Long Wang, Guangze Kong, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
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