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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:

Lightweight Multiscale Convolutional Networks With Adaptive Pruning for Intelligent Fault Diagnosis of Train Bogie Bearings in Edge Computing Scenarios
Ao Ding, Yong Qin, Biao Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 72, pp. 1-13
Closed Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Transfer Learning Based Fault Detection for Suspension System Using Vibrational Analysis and Radar Plots
Samavedam Aditya Sai, Naveen Venkatesh Sridharan, Seshathiri Dhanasekaran, et al.
Machines (2023) Vol. 11, Iss. 8, pp. 778-778
Open Access | Times Cited: 34
Train bearing fault diagnosis based on multi-sensor data fusion and dual-scale residual network
Deqiang He, Zhenpeng Lao, Zhenzhen Jin, et al.
Nonlinear Dynamics (2023) Vol. 111, Iss. 16, pp. 14901-14924
Closed Access | Times Cited: 30
Machine learning for fault analysis in rotating machinery: A comprehensive review
Oğuzhan Daş, Duygu Bağcı Daş, Derya Birant
Heliyon (2023) Vol. 9, Iss. 6, pp. e17584-e17584
Open Access | Times Cited: 29
KD-LightNet: A Lightweight Network Based on Knowledge Distillation for Industrial Defect Detection
Jinhai Liu, Hengguang Li, Fengyuan Zuo, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-13
Closed Access | Times Cited: 18
A pruning-aware dynamic slimmable network using meta-gradients for high-speed train bogie bearing fault diagnosis
Jingsong Xie, S. Cao, Tongyang Pan, et al.
ISA Transactions (2025)
Closed Access
Automatic risk level evaluation system for potential environmental hazards along high-speed railroad using UAV aerial photograph
Fanteng Meng, Yong Qin, Yunpeng Wu, et al.
Expert Systems with Applications (2025), pp. 127257-127257
Closed Access
Research on Fault Diagnosis Method for Rotating Machinery Based on Edge Computing
Mo Chen, Chao Ge, Yang Qi, et al.
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3577-3577
Open Access
FFKD-CGhostNet: A Novel Lightweight Network for Fault Diagnosis in Edge Computing Scenarios
Qingqing Huang, Yan Han, Xiaolong Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 11
Self-driven continual learning for class-added motor fault diagnosis based on unseen fault detector and propensity distillation
Ao Ding, Xiaojian Yi, Yong Qin, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107382-107382
Closed Access | Times Cited: 10
A global and joint knowledge distillation method with gradient-modulated dynamic parameter adaption for EMU bogie bearing fault diagnosis
Tongyang Pan, Tiantian Wang, Jinglong Chen, et al.
Measurement (2024) Vol. 235, pp. 114927-114927
Closed Access | Times Cited: 3
Manifold-Contrastive Broad Learning System for Wheelset Bearing Fault Diagnosis
Ning Wang, Limin Jia, Huiyue Zhang, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 9, pp. 9886-9900
Closed Access | Times Cited: 9
A Lightweight Group Transformer-Based Time Series Reduction Network for Edge Intelligence and Its Application in Industrial RUL Prediction
Lei Ren, Haiteng Wang, Tingyu Mo, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 2, pp. 3720-3729
Closed Access | Times Cited: 3
Empowering intelligent manufacturing with edge computing: A portable diagnosis and distance localization approach for bearing faults
Hairui Fang, Jialin An, Bo Sun, et al.
Advanced Engineering Informatics (2023) Vol. 59, pp. 102246-102246
Closed Access | Times Cited: 7
Dynamic event-triggered fault detection for multi time scale systems: Application to grid connected converters
Jiantao Shi, Shaodong Gu, Shuangqing Xing, et al.
Journal of the Franklin Institute (2024) Vol. 361, Iss. 7, pp. 106738-106738
Closed Access | Times Cited: 2
A Novel Multi-Sensor Hybrid Fusion Framework
Haoran Du, Qi Wang, Xunan Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086105-086105
Closed Access | Times Cited: 2
A Deployment Method for Motor Fault Diagnosis Application Based on Edge Intelligence
Zheng Zhou, Yusong Qiao, Xusheng Lin, et al.
Sensors (2024) Vol. 25, Iss. 1, pp. 9-9
Open Access | Times Cited: 2
A Lightweight Gear Fault Diagnosis Method Based on Attention Mechanism and Multilayer Fusion Network
Manyi Wang, Yunxin Yang, Liuxuan Wei, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 73, pp. 1-11
Closed Access | Times Cited: 6
Stepwise feature norm network with adaptive weighting for open set cross-domain intelligent fault diagnosis of bearings
Feng Jia, Yuanfei Wang, Jianjun Shen, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056126-056126
Closed Access | Times Cited: 1
A lightweight dual-compression fault diagnosis framework for high-speed train bogie bearing
Yuyan Li, Shangjun Wang, Jingsong Xie, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-14
Closed Access | Times Cited: 1
A Real-Time Deep Machine Learning Approach for Sudden Tool Failure Prediction and Prevention in Machining Processes
Mahmoud Hassan, A. Sadek, Helmi Attia
Sensors (2023) Vol. 23, Iss. 8, pp. 3894-3894
Open Access | Times Cited: 4
A Bearing Fault Feature Cross-Domain Transfer Method Based on Motor Current Signals
K. Yin, Chunjun Chen, Beice Luo, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 4
Preventing Forklift Front-End Failures: Predicting the Weight Centers of Heavy Objects, Remaining Useful Life Prediction under Abnormal Conditions, and Failure Diagnosis Based on Alarm Rules
Jeong-Geun Lee, Yun-Sang Kim, Jang-Hyun Lee
Sensors (2023) Vol. 23, Iss. 18, pp. 7706-7706
Open Access | Times Cited: 3
A bistable energy harvester with low base-acceleration and high root mean square output for train bogies: theoretical modeling and experimental validation
Dilong Tu, Yuan Zhang, Lei Zhu, et al.
Smart Materials and Structures (2022) Vol. 32, Iss. 3, pp. 035009-035009
Closed Access | Times Cited: 5
Condition monitoring of permanent magnet AC machines for all‐electric transportation systems: State of the art
Adil Usman, Bharat Singh Rajpurohit
IET Energy Systems Integration (2023) Vol. 6, Iss. 3, pp. 213-229
Open Access | Times Cited: 2
An Electromagnetic Tri-Stable Energy Harvester for Freight Train Condition Maintenance
Yuan Zhang, Dilong Tu, Lei Zhu, et al.
Lecture notes in electrical engineering (2024), pp. 522-528
Closed Access
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