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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:

Intelligent Fault Diagnosis Method Based on VMD-Hilbert Spectrum and ShuffleNet-V2: Application to the Gears in a Mine Scraper Conveyor Gearbox
Weibing Wang, Shuai Guo, Shuanfeng Zhao, et al.
Sensors (2023) Vol. 23, Iss. 10, pp. 4951-4951
Open Access | Times Cited: 11

Showing 11 citing articles:

LSR-YOLO: A High-Precision, Lightweight Model for Sheep Face Recognition on the Mobile End
Xiwen Zhang, Chuanzhong Xuan, Jing Xue, et al.
Animals (2023) Vol. 13, Iss. 11, pp. 1824-1824
Open Access | Times Cited: 22
An Improved Sparrow Search Algorithm for the Optimization of Variational Modal Decomposition Parameters
Haoran Du, Jixin Wang, Wenjun Qian, et al.
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 2174-2174
Open Access | Times Cited: 8
Scraper conveyor gearbox fault diagnosis based on multi-source heterogeneous data fusion
Long Feng, Zeyu Ding, Yibing Yin, et al.
Measurement (2025), pp. 116797-116797
Closed Access
Tool Wear State Identification Based on the IWOA-VMD Feature Selection Method
Xing Shui, Zhijun Rong, Binbin Dan, et al.
Machines (2024) Vol. 12, Iss. 3, pp. 184-184
Open Access | Times Cited: 3
Fault Feature Extraction Based on Variational Modal Decomposition and Lifting Wavelet Transform: Application in Gear of Mine Scraper Conveyor Gearbox
Zhengxiong Lu, Linyue Li, Chuanwei Zhang, et al.
Machines (2024) Vol. 12, Iss. 12, pp. 871-871
Open Access | Times Cited: 2
The Early Diagnosis of Rolling Bearings’ Faults Using Fractional Fourier Transform Information Fusion and a Lightweight Neural Network
Fengyun Xie, Gang Li, Chengjie Song, et al.
Fractal and Fractional (2023) Vol. 7, Iss. 12, pp. 875-875
Open Access | Times Cited: 6
A novel bearing current signal diagnosis method combining variational modal decomposition and improved random forests
Heyu Zhang, Yuqiao Zheng, Jieshan Lu
Review of Scientific Instruments (2024) Vol. 95, Iss. 2
Open Access
Wave-ConvNeXt: An Efficient and Precise Fault Diagnosis Method for IIoT Leveraging Tailored ConvNeXt and Wavelet Transform
Liangwei Zhang, Jing Lin, Zhe Yang, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 23096-23109
Open Access
Enhancing bearing and gear fault diagnosis: A VMD-PSO approach with multisensory signal integration
Abdel wahhab Lourari, Bilal El Yousfi, Tarak Benkedjouh, et al.
Journal of Vibration and Control (2024)
Closed Access
Automated diagnosis of atherosclerosis using multi-layer ensemble models and bio-inspired optimization in intravascular ultrasound imaging
Nisha Prajapati, Amitkumar Patel, Hiren Mewada
Medical & Biological Engineering & Computing (2024)
Closed Access
Fault Diagnosis Method for Vacuum Contactor Based on Time-Frequency Graph Optimization Technique and ShuffleNetV2
Haiying Li, Qinyang Wang, Jiancheng Song
Sensors (2024) Vol. 24, Iss. 19, pp. 6274-6274
Open Access
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