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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:

Bogie fault diagnosis under variable operating conditions based on fast kurtogram and deep residual learning towards imbalanced data
Yixuan Geng, Zhipeng Wang, Limin Jia, et al.
Measurement (2020) Vol. 166, pp. 108191-108191
Closed Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Intelligent fault diagnosis of machines with small & imbalanced data: A state-of-the-art review and possible extensions
Tianci Zhang, Jinglong Chen, Fudong Li, et al.
ISA Transactions (2021) Vol. 119, pp. 152-171
Closed Access | Times Cited: 371
A literature review of Artificial Intelligence applications in railway systems
Ruifan Tang, Lorenzo De Donato, Nikola Bešinović, et al.
Transportation Research Part C Emerging Technologies (2022) Vol. 140, pp. 103679-103679
Open Access | Times Cited: 149
A Systematic Review on Imbalanced Learning Methods in Intelligent Fault Diagnosis
Zhijun Ren, Tantao Lin, Ke Feng, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-35
Closed Access | Times Cited: 88
Imbalanced bearing fault diagnosis under variant working conditions using cost-sensitive deep domain adaptation network
Zhenyu Wu, Hongkui Zhang, Juchuan Guo, et al.
Expert Systems with Applications (2022) Vol. 193, pp. 116459-116459
Closed Access | Times Cited: 83
Extended attention signal transformer with adaptive class imbalance loss for Long-tailed intelligent fault diagnosis of rotating machinery
Shuyuan Chang, Liyong Wang, Mingkuan Shi, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102436-102436
Closed Access | Times Cited: 18
Optimization of VMD using kernel-based mutual information for the extraction of weak features to detect bearing defects
Anil Kumar, Yuqing Zhou, Jiawei Xiang
Measurement (2020) Vol. 168, pp. 108402-108402
Closed Access | Times Cited: 109
Combination bidirectional long short-term memory and capsule network for rotating machinery fault diagnosis
Tian Han, Ruiyi Ma, Jigui Zheng
Measurement (2021) Vol. 176, pp. 109208-109208
Closed Access | Times Cited: 56
Deep learning-based frequency-multiplexing composite-fringe projection profilometry technique for one-shot 3D shape measurement
Yifei Chen, Jiehu Kang, Luyuan Feng, et al.
Measurement (2024) Vol. 233, pp. 114640-114640
Closed Access | Times Cited: 10
Optimization of Sample Size, Data Points, and Data Augmentation Stride in Vibration Signal Analysis for Deep Learning‐Based Fault Diagnosis of Rotating Machines
Fasikaw Kibrete, Dereje Engida Woldemichael, Hailu Shimels Gebremedhen
Shock and Vibration (2025) Vol. 2025, Iss. 1
Open Access | Times Cited: 1
Improved Generative Adversarial Network for Rotating Component Fault Diagnosis in Scenarios With Extremely Limited Data
Jianguo Miao, Jianyu Wang, Dingcheng Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 71, pp. 1-13
Closed Access | Times Cited: 48
A new generative adversarial network based imbalanced fault diagnosis method
Menglei Li, Dacheng Zou, Shuyang Luo, et al.
Measurement (2022) Vol. 194, pp. 111045-111045
Closed Access | Times Cited: 35
Imbalance fault diagnosis under long-tailed distribution: Challenges, solutions and prospects
Zhuohang Chen, Jinglong Chen, Yong Feng, et al.
Knowledge-Based Systems (2022) Vol. 258, pp. 110008-110008
Closed Access | Times Cited: 35
Role of image feature enhancement in intelligent fault diagnosis for mechanical equipment: A review
Yongjian Sun, Wei Wang
Engineering Failure Analysis (2023) Vol. 156, pp. 107815-107815
Closed Access | Times Cited: 16
Deep balanced cascade forest: An novel fault diagnosis method for data imbalance
Hao Chen, Chaoshun Li, Wenxian Yang, et al.
ISA Transactions (2021) Vol. 126, pp. 428-439
Open Access | Times Cited: 37
An adaptive fault diagnosis framework under class-imbalanced conditions based on contrastive augmented deep reinforcement learning
Qin Zhao, Yu Ding, Chen Lü, et al.
Expert Systems with Applications (2023) Vol. 234, pp. 121001-121001
Closed Access | Times Cited: 15
A novel hierarchical structural pruning-multiscale feature fusion residual network for intelligent fault diagnosis
Yiwei Cheng, Xinnuo Lin, Haiping Zhu, et al.
Mechanism and Machine Theory (2023) Vol. 184, pp. 105292-105292
Closed Access | Times Cited: 14
Image deep learning in fault diagnosis of mechanical equipment
Chuanhao Wang, Yongjian Sun, Xiaohong Wang
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 6, pp. 2475-2515
Closed Access | Times Cited: 13
Fault diagnosis of high-speed train suspension systems under variable speeds based on dynamic transfer loss weight-deep subdomain adaptation network
Funing Yang, Chunrong Hua, Junyi Mu, et al.
Advanced Engineering Informatics (2025) Vol. 64, pp. 103091-103091
Closed Access
A novel fault diagnosis of high-speed train axle box bearings with adaptive curriculum self-paced learning under noisy labels
Kai Zhang, Bingwen Wang, Qing Zheng, et al.
Structural Health Monitoring (2025)
Closed Access
Adaptive Weighted Cost-Sensitive Learning-Driven Improved Dense Convolutional Neural Network for Imbalanced Fault Diagnosis under Limited Fault Samples
Zihao Lei, Shuaiqing Deng, Yu Su, et al.
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering (2025) Vol. 11, Iss. 2
Closed Access
A Cost-Sensitive Multi-scale Feature Multi-order Fusion Network for Bearing Fault Diagnosis Under Data Imbalance Conditions
Shuaiqing Deng, Zihao Lei, Guangrui Wen, et al.
Lecture notes in electrical engineering (2025), pp. 94-106
Closed Access
An Enhanced Multifeature Fusion Method for Rotating Component Fault Diagnosis in Different Working Conditions
Jianguo Miao, Jianyu Wang, Qiang Miao
IEEE Transactions on Reliability (2021) Vol. 70, Iss. 4, pp. 1611-1620
Open Access | Times Cited: 29
Vibration analysis process based on spectrogram using gradient class activation map with selection process of CNN model and feature layer
Youngjun Yoo, Seongcheol Jeong
Displays (2022) Vol. 73, pp. 102233-102233
Closed Access | Times Cited: 20
A Centrifugal Pump Fault Diagnosis Framework Based on Supervised Contrastive Learning
Sajjad Ahmad, Zahoor Ahmad, Jong-Myon Kim
Sensors (2022) Vol. 22, Iss. 17, pp. 6448-6448
Open Access | Times Cited: 17
Enhanced generalized nonlinear sparse spectrum based on dual-tree complex wavelet packet transform for bearing fault diagnosis
Zujie Yang, Zongzhen Zhang, Jinrui Wang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 5, pp. 055109-055109
Closed Access | Times Cited: 9
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