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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:

Multi-perspective deep transfer learning model: A promising tool for bearing intelligent fault diagnosis under varying working conditions
Xue‐Gang Li, Xingxing Jiang, Qian Wang, et al.
Knowledge-Based Systems (2022) Vol. 243, pp. 108443-108443
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Generalized MAML for few-shot cross-domain fault diagnosis of bearing driven by heterogeneous signals
Jian Lin, Haidong Shao, Xiangdong Zhou, et al.
Expert Systems with Applications (2023) Vol. 230, pp. 120696-120696
Open Access | Times Cited: 118
Few-Shot Cross-Domain Fault Diagnosis of Bearing Driven by Task-Supervised ANIL
Haidong Shao, Xiangdong Zhou, Jian Lin, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 22892-22902
Closed Access | Times Cited: 70
Deep continual transfer learning with dynamic weight aggregation for fault diagnosis of industrial streaming data under varying working conditions
Jipu Li, Ruyi Huang, Zhuyun Chen, et al.
Advanced Engineering Informatics (2023) Vol. 55, pp. 101883-101883
Closed Access | Times Cited: 46
Deep transfer learning strategy in intelligent fault diagnosis of rotating machinery
Shengnan Tang, Jingtao Ma, Zhengqi Yan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 134, pp. 108678-108678
Closed Access | Times Cited: 30
Comparative study on deep transfer learning strategies for cross-system and cross-operation-condition building energy systems fault diagnosis
Guannan Li, Liang Chen, Jiangyan Liu, et al.
Energy (2022) Vol. 263, pp. 125943-125943
Closed Access | Times Cited: 58
Federated adversarial domain generalization network: A novel machinery fault diagnosis method with data privacy
Rui Wang, Weiguo Huang, Mingkuan Shi, et al.
Knowledge-Based Systems (2022) Vol. 256, pp. 109880-109880
Closed Access | Times Cited: 53
Cross-domain fault diagnosis of bearing using improved semi-supervised meta-learning towards interference of out-of-distribution samples
Jian Lin, Haidong Shao, Zhishan Min, et al.
Knowledge-Based Systems (2022) Vol. 252, pp. 109493-109493
Closed Access | Times Cited: 52
Deep adaptive sparse residual networks: A lifelong learning framework for rotating machinery fault diagnosis with domain increments
Yan Zhang, Changqing Shen, Juanjuan Shi, et al.
Knowledge-Based Systems (2024) Vol. 293, pp. 111679-111679
Closed Access | Times Cited: 10
Imbalanced deep transfer network for fault diagnosis of high-speed train traction motor bearings
Yilong Liu, Xinyuan Li, Xingwu Zhang, et al.
Knowledge-Based Systems (2024) Vol. 293, pp. 111682-111682
Closed Access | Times Cited: 6
An autonomous recognition framework based on reinforced adversarial open set algorithm for compound fault of mechanical equipment
Zisheng Wang, Jianping Xuan, Tielin Shi
Mechanical Systems and Signal Processing (2024) Vol. 219, pp. 111596-111596
Closed Access | Times Cited: 6
Early fault detection with health stage division:an adversarial learning method with model update mechanism for condition monitoring
Yu Wang, Qingbo Wang, Szymon Bernat, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110015-110015
Open Access
Rolling Element Bearing Fault Diagnosis Based on Multi-objective Optimized Deep Auto-encoder
Xiaoxin Chang, Shaopu Yang, Shaohua Li, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096007-096007
Closed Access | Times Cited: 4
Domain reinforcement feature adaptation methodology with correlation alignment for compound fault diagnosis of rolling bearing
Zisheng Wang, Jianping Xuan, Tielin Shi
Expert Systems with Applications (2024), pp. 125594-125594
Closed Access | Times Cited: 4
Task similarity guided transfer learning for acoustic emission-based rail crack assessment
Si‐Xin Chen, Lu Zhou, Yi‐Qing Ni, et al.
Mechanical Systems and Signal Processing (2025) Vol. 227, pp. 112404-112404
Closed Access
Correlation feature distribution matching for fault diagnosis of machines
Hongchuang Tan, Suchao Xie, Wen Ma, et al.
Reliability Engineering & System Safety (2022) Vol. 231, pp. 108981-108981
Closed Access | Times Cited: 19
Morphological component analysis under non-convex smoothing penalty framework for gearbox fault diagnosis
Ziwei Zhang, Weiguo Huang, Jun Wang, et al.
ISA Transactions (2023) Vol. 143, pp. 525-535
Closed Access | Times Cited: 11
Dynamics simulation-driven fault diagnosis of rolling bearings using security transfer support matrix machine
Xin Li, Shuhua Li, Dong Wei, et al.
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109882-109882
Closed Access | Times Cited: 10
A novel method based on CNN-BiGRU and AM model for bearing fault diagnosis
Ziwei Xu, Yan‐Feng Li, Hong‐Zhong Huang, et al.
Journal of Mechanical Science and Technology (2024) Vol. 38, Iss. 7, pp. 3361-3369
Closed Access | Times Cited: 3
A Data-Driven Diagnosis Scheme Based on Deep Learning toward Fault Identification of the Hydraulic Piston Pump
Yong Zhu, Tao Zhou, Shengnan Tang, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 7, pp. 1273-1273
Open Access | Times Cited: 7
A novel fault diagnosis model of rolling bearing under variable working conditions based on attention mechanism and domain adversarial neural network
Zhiping Liu, Peng Zhang, Yannan Yu, et al.
Journal of Mechanical Science and Technology (2024) Vol. 38, Iss. 3, pp. 1101-1111
Closed Access | Times Cited: 2
A Novel Small Sample Fault Diagnosis Method for Rolling Bearings via Continuous Wavelet Transform and Siamese Neural Network
Xufeng Zhao, Lubing Wang, Mengshu Yang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 15, pp. 24988-24996
Closed Access | Times Cited: 2
Parallel Convolutional Transfer Network for Bearing Fault Diagnosis Under Varying Operation States
Rui Yao, Huimin Zhao, Zhen Zhao, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-13
Closed Access | Times Cited: 2
Fault detection research on novel transfer learning-based method for cross-condition, cross-system and cross-operation in public building HVAC sensors
Boyan Zhang, Yacine Rezgui, Zhiwen Luo, et al.
Energy (2024) Vol. 313, pp. 133704-133704
Closed Access | Times Cited: 2
Multiscale cyclic frequency demodulation-based feature fusion framework for multi-sensor driven gearbox intelligent fault detection
Junchao Guo, Qingbo He, Dong Zhen, et al.
Knowledge-Based Systems (2023) Vol. 283, pp. 111203-111203
Open Access | Times Cited: 6
Channel-Spatial attention convolutional neural networks trained with adaptive learning rates for surface damage detection of wind turbine blades
Zhaohua Liu, Qi Chen, Hua‐Liang Wei, et al.
Measurement (2023) Vol. 217, pp. 113097-113097
Closed Access | Times Cited: 5
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