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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:

Machine vision based damage detection for conveyor belt safety using Fusion knowledge distillation
Xiaoqiang Guo, Xinhua Liu, Paolo Gardoni, et al.
Alexandria Engineering Journal (2023) Vol. 71, pp. 161-172
Open Access | Times Cited: 12

Showing 12 citing articles:

D2net: a dual-branch lightweight network for conveyor belt rotation detection in pipe belt conveyors
Xingyu Wang, Nini Hao, Yun Yu, et al.
Journal of Real-Time Image Processing (2025) Vol. 22, Iss. 1
Closed Access
A low-light image enhancement method for personnel safety monitoring in underground coal mines
Wei Yang, Shuai Wang, Jiaqi Wu, et al.
Complex & Intelligent Systems (2024) Vol. 10, Iss. 3, pp. 4019-4032
Open Access | Times Cited: 2
Deep learning based structural damage identification for the strain field of a subway bolster
Chengxing Yang, Liting Yang, Weinian Guo, et al.
Alexandria Engineering Journal (2023) Vol. 81, pp. 264-283
Open Access | Times Cited: 5
Visual information perception system of coal mine comprehensive excavation working face for edge computing terminal
Dongyang Zhao, Guoyong Su, Pengyu Wang
IET Image Processing (2024) Vol. 18, Iss. 12, pp. 3681-3698
Open Access | Times Cited: 1
Application of Machine Learning Algorithms in Real-Time Monitoring of Conveyor Belt Damage
Damian Bzinkowski, Mirosław Rucki, Leszek Chałko, et al.
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10464-10464
Open Access | Times Cited: 1
AC-SNGAN: Multi-class data augmentation for damage detection of conveyor belt surface using improved ACGAN
Gongxian Wang, Zekun Yang, Hui Sun, et al.
Measurement (2023) Vol. 224, pp. 113814-113814
Closed Access | Times Cited: 4
Experimental Study of the Influence of the Interaction of a Conveyor Belt Support System on Belt Damage Using Video Analysis
Daniela Marasová, Miriam Andrejiová, Anna Grinčová
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7935-7935
Open Access | Times Cited: 3
Coal Characterization and Classification through IDNN Innovations Contrasted with LeNet-5 and CNN Techniques
M. Praveena, A Afsana, T. Durga Devi, et al.
(2024), pp. 1881-1887
Closed Access
Improving the effectiveness of the DiagBelt+ diagnostic system - analysis of the impact of measurement parameters on the quality of signals
Leszek Jurdziak, R. Błażej, Agata Kirjanów-Błażej, et al.
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2024) Vol. 26, Iss. 3
Open Access
HLG-YOLOv7: Small object detection in conveyor belt damage based on leveraging hybrid local and global features
Gongxian Wang, Qiang Yue, Hui Sun, et al.
Engineering Research Express (2024) Vol. 6, Iss. 2, pp. 025570-025570
Closed Access
Visual damage detection technology for conveyor belts in coal-fired power plants
Weiliang Cheng, Xinwei Yin, Yanchun Wang
(2024), pp. 23-29
Closed Access
A Review of Structural Health Monitoring for Flexible Composite Materials
Xiangli Hu, Jiangxing Wu, Yantao Gao
Applied Composite Materials (2024)
Closed Access
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