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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:

Damage Detection for Conveyor Belt Surface Based on Conditional Cycle Generative Adversarial Network
Xiaoqiang Guo, Xinhua Liu, Grzegorz Królczyk, et al.
Sensors (2022) Vol. 22, Iss. 9, pp. 3485-3485
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Digital twin-assisted multiscale residual-self-attention feature fusion network for hypersonic flight vehicle fault diagnosis
Yutong Dong, Hongkai Jiang, Zhenghong Wu, et al.
Reliability Engineering & System Safety (2023) Vol. 235, pp. 109253-109253
Closed Access | Times Cited: 45
A neural network compression method based on knowledge-distillation and parameter quantization for the bearing fault diagnosis
Mengyu Ji, Gaoliang Peng, Sijue Li, et al.
Applied Soft Computing (2022) Vol. 127, pp. 109331-109331
Closed Access | Times Cited: 48
Detection of Compound Faults in Ball Bearings Using Multiscale-SinGAN, Heat Transfer Search Optimization, and Extreme Learning Machine
Venish Suthar, Vinay Vakharia, Vivek Patel, et al.
Machines (2022) Vol. 11, Iss. 1, pp. 29-29
Open Access | Times Cited: 45
Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open- Access Papers
Nils Hütten, Miguel Alves Gomes, Florian Hölken, et al.
Applied System Innovation (2024) Vol. 7, Iss. 1, pp. 11-11
Open Access | Times Cited: 14
Automated steel surface defect detection and classification using a new deep learning-based approach
Kürşat Demir, Mustafa Ay, Mehmet Çavaş, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 11, pp. 8389-8406
Closed Access | Times Cited: 31
Multi-scale coal and gangue detection in dense state based on improved Mask RCNN
Xi Wang, Shuang Wang, Yongcun Guo, et al.
Measurement (2023) Vol. 221, pp. 113467-113467
Closed Access | Times Cited: 14
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: 13
Real-time damage detection network for mine conveyor belts based on knowledge distillation
Tao Wu, Huaping Zhou, Kelei Sun
Measurement (2025), pp. 116976-116976
Closed Access
Conveyor belt damage detection based on machine learning
Yuan Yuan, Yongchao Li, Bo Gao, et al.
Journal of Computational Methods in Sciences and Engineering (2025)
Closed Access
Increasing the Classification Achievement of Steel Surface Defects by Applying a Specific Deep Strategy and a New Image Processing Approach
Fatih Demir, Koray Şener Parlak
Applied Sciences (2025) Vol. 15, Iss. 8, pp. 4255-4255
Open Access
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: 9
Belt rotation in pipe conveyors: Development of an overlap monitoring system using digital twins, industrial Internet of things, and autoregressive language models
Leonardo dos Santos e Santos, Paulo Roberto Campos Flexa Ribeiro Filho, Emanuel Negrão Mâcedo
Measurement (2024) Vol. 230, pp. 114546-114546
Open Access | Times Cited: 3
Deteriorated Characters Restoration for Early Japanese Books Using Enhanced CycleGAN
Hayata Kaneko, Ryuto Ishibashi, Lin Meng
Heritage (2023) Vol. 6, Iss. 5, pp. 4345-4361
Open Access | Times Cited: 7
Wear State Detection of Conveyor Belt in Underground Mine Based on Retinex- YOLOv8-EfficientNet-NAM
Lijie Yang, G. Chen, Jiehui Liu, et al.
IEEE Access (2024) Vol. 12, pp. 25309-25324
Open Access | Times Cited: 2
A New Knowledge-Distillation-Based Method for Detecting Conveyor Belt Defects
Qi Yang, Fang Li, Tian Hong, et al.
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 10051-10051
Open Access | Times Cited: 9
A Novel Denoising Approach Based on Improved Invertible Neural Networks for Real-Time Conveyor Belt Monitoring
Xiaoqiang Guo, Xinhua Liu, Xu Zhang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 3, pp. 3194-3203
Closed Access | Times Cited: 5
Mirror-assisted 360° panoramic 3D measurement system based on rotary laser profilometer
Chuanwei Yao, Yuchen Han, Zhou Peng, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 095206-095206
Closed Access | Times Cited: 1
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
Real-Time Damage Detection Method for Conveyor Belts Based on Improved YoloX
Chao Zhu, Hucheng Hong, Hui Sun, et al.
Journal of Failure Analysis and Prevention (2023) Vol. 23, Iss. 4, pp. 1608-1620
Closed Access | Times Cited: 2
Image-to-Image Translation-Based Structural Damage Data Augmentation for Infrastructure Inspection Using Unmanned Aerial Vehicle
Gi-Hun Gwon, Jin-Hwan Lee, In‐Ho Kim, et al.
Drones (2023) Vol. 7, Iss. 11, pp. 666-666
Open Access | Times Cited: 2
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
Temporal-Quality Ensemble Technique for Handling Image Blur in Packaging Defect Inspection
Guk-Jin Son, Heechul Jung, Young‐Duk Kim
Sensors (2024) Vol. 24, Iss. 14, pp. 4438-4438
Open Access
Conditional image-to-image translation generative adversarial network (cGAN) for fabric defect data augmentation
Swash Sami Mohammed, Hülya Gökalp
Neural Computing and Applications (2024) Vol. 36, Iss. 32, pp. 20231-20244
Open Access
Deep encoder-decoder networks for belt longitudinal tear detection
Lei You, Minghua Luo, Xinglin Zhu, et al.
Measurement and Control (2024)
Open Access
Real-time multidimensional detection of longitudinal tears in conveyor belts using FPGA-based parallel acceleration
Fei Li, Kun Hu, Hua Zheng
Artificial intelligence for engineering design analysis and manufacturing (2024) Vol. 38
Closed Access
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