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:

Triboelectric linear bearing sensor for self-powered condition monitoring using wavelet transform and lightweight CNN
Zhenfeng Qin, Yu Wang, Zhipeng Yuan, et al.
Sensors and Actuators A Physical (2023) Vol. 359, pp. 114455-114455
Closed Access | Times Cited: 13

Showing 13 citing articles:

A comprehensive review on triboelectric sensors and AI-integrated systems
Shengshun Duan, Huiyun Zhang, Lei Liu, et al.
Materials Today (2024)
Closed Access | Times Cited: 18

Triboelectric Nanogenerators with Machine Learning for Internet of Things
Jiayi Yang, Keke Hong, Yijun Hao, et al.
Advanced Materials Technologies (2024)
Closed Access | Times Cited: 11

MRCFN: A multi-sensor residual convolutional fusion network for intelligent fault diagnosis of bearings in noisy and small sample scenarios
Maoyou Ye, Xiaoan Yan, Xing Hua, et al.
Expert Systems with Applications (2024) Vol. 259, pp. 125214-125214
Closed Access | Times Cited: 11

Investigation of Laser micro-textured Triboelectric Nanogenerator based Self-Powered Vibration Sensor for Industry 4.0 Application
Diksha Jaurker, Puneet Gupta, Anshu Sahu, et al.
Sensors and Actuators A Physical (2024) Vol. 377, pp. 115679-115679
Closed Access | Times Cited: 8

Stability and safety study of pumped storage units based on time-shifted multi-scale cosine similarity entropy
Xiang Li, Yakun Guo, Boyi Xiao, et al.
Journal of Energy Storage (2024) Vol. 95, pp. 112611-112611
Closed Access | Times Cited: 7

A self-developed electronic nose system combines data enhancement and multi-branch kernels channel attention to identify the gas information of industrial polypropylene
Yanwei Wang, Yang Yu, Haojie Zhao, et al.
Sensors and Actuators A Physical (2024) Vol. 366, pp. 115005-115005
Closed Access | Times Cited: 6

Compound Motion‐Mode Tribovoltaic Nanogenerator for Self‐Powered Monitoring of Gear Transmission System
Song Wang, Likun Gong, Yuhang Jiang, et al.
Advanced Materials Technologies (2025)
Closed Access

Multi-scale quadratic convolutional neural network for bearing fault diagnosis based on multi-sensor data fusion
Yingying Ji, Jun Gao, Xing Shao, et al.
Nonlinear Dynamics (2025)
Closed Access

Intelligent real-time status identification for anti-roll tank via solid-liquid triboelectric nanogenerators
Xingang Xu, Hao Wu, Zhongjie Li, et al.
Ocean Engineering (2025) Vol. 327, pp. 120987-120987
Closed Access

Artificial intelligence technology in materials selection, device engineering and parameter optimisation for triboelectric nanogenerator
A. Swami, Deepak Kumar Verma, Richa Soni, et al.
Materials Today Communications (2025), pp. 112553-112553
Closed Access

A novel edge intelligence application model with lightweight network and antinoise ability for bearing fault diagnosis
L. Liu, Fan Zhang, L. Liu, et al.
Structural Health Monitoring (2025)
Closed Access

Study on magnetocaloric effect of TENG under strong AC magnetic field
X. J. Zhou, Jiannong Wang, Xin Bai, et al.
Journal of Physics Conference Series (2025) Vol. 2982, Iss. 1, pp. 012014-012014
Open Access

A comprehensive review of non-destructive methods for bearing lubricating oil film thickness measurement
Fei Shang, Bo Sun, Dandan Cai
Industrial Lubrication and Tribology (2024) Vol. 76, Iss. 3, pp. 441-451
Closed Access | Times Cited: 3

Spatial-temporal modeling of oil condition monitoring: A review
Yan Pan, Bin Liang, Yang Lei, et al.
Reliability Engineering & System Safety (2024) Vol. 248, pp. 110182-110182
Closed Access | Times Cited: 1

Using deep learning and an annular triboelectric sensor for monitoring downhole motor rotor faults
Jie Xu, Lingrong Kong, Yu Wang, et al.
Nano Energy (2024) Vol. 133, pp. 110478-110478
Closed Access

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