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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:

Mechatronics Equipment Performance Degradation Assessment Using Limited and Unlabeled Data
Peng Ding, Minping Jia
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 4, pp. 2374-2385
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Self-supervised pretraining via contrast learning for intelligent incipient fault detection of bearings
Yifei Ding, Jichao Zhuang, Peng Ding, et al.
Reliability Engineering & System Safety (2021) Vol. 218, pp. 108126-108126
Closed Access | Times Cited: 150
Small data challenges for intelligent prognostics and health management: a review
Chuanjiang Li, Shaobo Li, Yixiong Feng, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 23
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
Domain generalization via adversarial out-domain augmentation for remaining useful life prediction of bearings under unseen conditions
Yifei Ding, Minping Jia, Yudong Cao, et al.
Knowledge-Based Systems (2022) Vol. 261, pp. 110199-110199
Closed Access | Times Cited: 46
Industrial big data-driven mechanical performance prediction for hot-rolling steel using lower upper bound estimation method
Gongzhuang Peng, Yinliang Cheng, Yufei Zhang, et al.
Journal of Manufacturing Systems (2022) Vol. 65, pp. 104-114
Closed Access | Times Cited: 39
Remaining useful life prediction of bearings using multi-source adversarial online regression under online unknown conditions
Jichao Zhuang, Yudong Cao, Minping Jia, et al.
Expert Systems with Applications (2023) Vol. 227, pp. 120276-120276
Closed Access | Times Cited: 23
Graph structure few-shot prognostics for machinery remaining useful life prediction under variable operating conditions
Peng Ding, Jun Xia, Xiaoli Zhao, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102360-102360
Closed Access | Times Cited: 14
Temporal convolution-based transferable cross-domain adaptation approach for remaining useful life estimation under variable failure behaviors
Jichao Zhuang, Minping Jia, Yifei Ding, et al.
Reliability Engineering & System Safety (2021) Vol. 216, pp. 107946-107946
Closed Access | Times Cited: 52
Machinery cross domain degradation prognostics considering compound domain shifts
Peng Ding, Xiaoli Zhao, Haidong Shao, et al.
Reliability Engineering & System Safety (2023) Vol. 239, pp. 109490-109490
Closed Access | Times Cited: 16
Remaining useful life estimation based on a nonlinear Wiener process model with CSN random effects
Dezhong Wu, Minping Jia, Yudong Cao, et al.
Measurement (2022) Vol. 205, pp. 112232-112232
Closed Access | Times Cited: 22
Uncertainty-Weighted Domain Generalization for Remaining Useful Life Prediction of Rolling Bearings Under Unseen Conditions
S Tong, Yan Han, Xiaolong Zhang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 10933-10943
Closed Access | Times Cited: 4
A survey on few-shot learning for remaining useful life prediction
Renpeng Mo, Han Zhou, Hongpeng Yin, et al.
Reliability Engineering & System Safety (2025), pp. 110850-110850
Closed Access
Machinery Probabilistic Few-Shot Prognostics Considering Prediction Uncertainty
Peng Ding, Minping Jia, Yifei Ding, et al.
IEEE/ASME Transactions on Mechatronics (2023) Vol. 29, Iss. 1, pp. 106-118
Closed Access | Times Cited: 11
Prior knowledge-based self-supervised learning for intelligent bearing fault diagnosis with few fault samples
Ke Wu, Yukang Nie, Jun Wu, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 10, pp. 105104-105104
Closed Access | Times Cited: 8
Enhancing prognostics for sparse labeled data using advanced contrastive self-supervised learning with downstream integration
Weikun Deng, Khanh T.P. Nguyen, Christian Gogu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109268-109268
Closed Access | Times Cited: 2
Smeta-LU: A self-supervised meta-learning fault diagnosis method for rotating machinery based on label updating
Zhiqian Zhao, Yinghou Jiao, Yeyin Xu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102875-102875
Closed Access | Times Cited: 1
A fault diagnosis framework using unlabeled data based on automatic clustering with meta-learning
Zhiqian Zhao, Yinghou Jiao, Yeyin Xu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109584-109584
Closed Access | Times Cited: 1
ACDE2LM: Autocorrelation-constrained dynamic ensemble extreme learning machine for real-time fault diagnostics of bearings
Xin Zhang, Tian Hu, Yuanke Wu, et al.
Measurement (2024), pp. 116608-116608
Closed Access | Times Cited: 1
Study on Performance Evaluation and Prediction of Francis Turbine Units Considering Low-Quality Data and Variable Operating Conditions
Ran Duan, Jie Liu, Jianzhong Zhou, et al.
Applied Sciences (2022) Vol. 12, Iss. 10, pp. 4866-4866
Open Access | Times Cited: 6
Remaining Useful Life Prediction of Milling Tool Based on Pyramid CNN
Ning Hu, Zhenguo Liu, Shixin Jiang, et al.
Shock and Vibration (2023) Vol. 2023, pp. 1-14
Open Access | Times Cited: 3
Remaining Useful Life Prediction Based on Incremental Learning
Zijun Que, Xiaohang Jin, Zhengguo Xu, et al.
IEEE Transactions on Reliability (2023) Vol. 73, Iss. 2, pp. 876-884
Closed Access | Times Cited: 3
A Novel Method for Remaining Useful Life Prediction of Roller Bearings Involving the Discrepancy and Similarity of Degradation Trajectories
Honglin Luo, Lin Bo, Xiaofeng Liu, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 7
Multiobjective Evolution Enhanced Collaborative Health Monitoring and Prognostics: A Case Study of Bearing Life Test With Three-Axis Acceleration Signals
Peng Ding, Minping Jia, Jichao Zhuang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-12
Closed Access | Times Cited: 4
Clustering Analysis of Unlabeled Data and Weak-Label Detection Analysis Method Integrating Soft Computing Technology
Chunhua Liang
IEEE Access (2024) Vol. 12, pp. 6852-6863
Open Access
Fault Diagnosis and Prognostics of Stochastic Distribution Systems
Youxuan Gao, Lina Yao, Yuan‐Cheng Sun
IEEE Transactions on Circuits & Systems II Express Briefs (2024) Vol. 71, Iss. 7, pp. 3378-3382
Closed Access
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