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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 for Bearings of Industrial Robot Joints Under Varying Working Conditions Based on Deep Adversarial Domain Adaptation
Bingjie Xia, Kai Wang, Aidong Xu, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-13
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016
Xiaohan Chen, Rui Yang, Yihao Xue, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-21
Open Access | Times Cited: 185
A review on fault detection and diagnosis of industrial robots and multi-axis machines
Ameer H. Sabry, Ungku Anisa Bte Ungku Amirulddin
Results in Engineering (2024) Vol. 23, pp. 102397-102397
Open Access | Times Cited: 14
Discriminative feature learning using a multiscale convolutional capsule network from attitude data for fault diagnosis of industrial robots
Jianyu Long, Yaoxin Qin, Zhe Yang, et al.
Mechanical Systems and Signal Processing (2022) Vol. 182, pp. 109569-109569
Open Access | Times Cited: 54
Machine Learning in Manufacturing towards Industry 4.0: From ‘For Now’ to ‘Four-Know’
Tingting Chen, Vignesh Sampath, Marvin Carl May, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1903-1903
Open Access | Times Cited: 35
A Novel Local Binary Temporal Convolutional Neural Network for Bearing Fault Diagnosis
Yihao Xue, Rui Yang, Xiaohan Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-13
Closed Access | Times Cited: 29
Domain adaptation meta-learning network with discard-supplement module for few-shot cross-domain rotating machinery fault diagnosis
Yu Zhang, Dongying Han, Jinghui Tian, et al.
Knowledge-Based Systems (2023) Vol. 268, pp. 110484-110484
Closed Access | Times Cited: 28
Few-Shot Fault Diagnosis Method of Rotating Machinery Using Novel MCGM Based CNN
Gongye Yu, Peng Wu, Zhe Lv, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 11, pp. 10944-10955
Closed Access | Times Cited: 27
Lightweight Convolutional Transformers Enhanced Meta-Learning for Compound Fault Diagnosis of Industrial Robot
Chong Chen, Tao Wang, Chao Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Open Access | Times Cited: 22
Servo torque fault diagnosis implementation for heavy-legged robots using insufficient information
Shaoxun Liu, Shiyu Zhou, Boyuan Li, et al.
ISA Transactions (2024) Vol. 147, pp. 439-452
Closed Access | Times Cited: 6
Enhanced Fault Diagnosis in IoT: Uniting Data Fusion with Deep Multi-Scale Fusion Neural Network
Dinesh Kumar Reddy Basani, Basava Ramanjaneyulu Gudivaka, Rajya Lakshmi Gudivaka, et al.
Internet of Things (2024), pp. 101361-101361
Closed Access | Times Cited: 6
Static Characteristics of a Micro Bidirectional Rotating Thrust Bearing with Novel Herringbone Grooves
Tianming Ren, Ming Feng
Lubricants (2025) Vol. 13, Iss. 3, pp. 109-109
Open Access
Fault Types and Diagnostic Methods of Manipulator Robots: A Review
Yue-Peng Zhang, Jun Wu, Bo Gao, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1716-1716
Open Access
Residual shrinkage transformer relation network for intelligent fault detection of industrial robot with zero-fault samples
Zuoyi Chen, Ke Wu, Jun Wu, et al.
Knowledge-Based Systems (2023) Vol. 268, pp. 110452-110452
Closed Access | Times Cited: 15
Multi-step difference-driven domain adversarial network for few-sample fault detection in dynamic industrial systems
Ruiyi Fang, Kai Wang, Xiaofeng Yuan, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110242-110242
Closed Access
A New Method for Quantitative Estimation of Rolling Bearings Under Variable Working Conditions
Yaoxiang Yu, Xi Gu, Weipeng Ma, et al.
IEEE/ASME Transactions on Mechatronics (2023) Vol. 29, Iss. 1, pp. 41-51
Closed Access | Times Cited: 11
Semi-physical simulation-driven contrastive decoupling net for intelligent fault diagnosis of unseen machines under varying speed
Zhen Shi, Jinglong Chen, Yanyang Zi, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076101-076101
Closed Access | Times Cited: 3
An adaptive few-shot fault diagnosis method based on virtual samples generated by fault characteristics of rotating machines
Peng Wu, Gongye Yu, Qianqian Yu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 109017-109017
Closed Access | Times Cited: 3
Remote Monitoring and Maintenance for Equipment and Production Lines on Industrial Internet: A Literature Review
Qingzong Li, Yuqian Yang, Pingyu Jiang
Machines (2022) Vol. 11, Iss. 1, pp. 12-12
Open Access | Times Cited: 16
Adversarial Deep Transfer Learning in Fault Diagnosis: Progress, Challenges, and Future Prospects
Yu Guo, Jundong Zhang, Bin Sun, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7263-7263
Open Access | Times Cited: 9
Self-Attention Parallel Fusion Network for Wind Turbine Gearboxes Fault Diagnosis
Qichao Yang, Baoping Tang, Yizhe Shen, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 19, pp. 23210-23220
Closed Access | Times Cited: 7
Dynamics modeling and fault diagnosis of flexible thin-walled elliptical bearings in harmonic reducers
Zida Zhao, Shilong Sun, Wenfu Xu, et al.
Measurement (2024) Vol. 238, pp. 115378-115378
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
KMSA-Net: A Knowledge-Mining-Based Semantic-Aware Network for Cross-Domain Industrial Process Fault Diagnosis
Lei Wang, Jinhai Liu, Huaguang Zhang, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 2, pp. 2738-2750
Closed Access | Times Cited: 6
DCDAN-Based Incipient Fault Diagnosis for Satellite ACS Under Variable Operating Conditions
Zehui Mao, Shujun Ma, Wenjing Liu, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 3, pp. 3115-3123
Closed Access | Times Cited: 5
Federated Multi-Model Transfer Learning-Based Fault Diagnosis with Peer-to-Peer Network for Wind Turbine Cluster
Wanqian Yang, Gang Yu
Machines (2022) Vol. 10, Iss. 11, pp. 972-972
Open Access | Times Cited: 8
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