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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:

Unsupervised Health Indicator Construction by a Novel Degradation-Trend-Constrained Variational Autoencoder and Its Applications
Yi Qin, Jianghong Zhou, Dingliang Chen
IEEE/ASME Transactions on Mechatronics (2021) Vol. 27, Iss. 3, pp. 1447-1456
Closed Access | Times Cited: 74

Showing 1-25 of 74 citing articles:

Remaining Useful Life Prediction of Lithium-Ion Battery With Adaptive Noise Estimation and Capacity Regeneration Detection
Jiusi Zhang, Yuchen Jiang, Xiang Li, et al.
IEEE/ASME Transactions on Mechatronics (2022) Vol. 28, Iss. 2, pp. 632-643
Closed Access | Times Cited: 107
Remaining useful life prediction of bearings by a new reinforced memory GRU network
Jianghong Zhou, Yi Qin, Dingliang Chen, et al.
Advanced Engineering Informatics (2022) Vol. 53, pp. 101682-101682
Closed Access | Times Cited: 84
Spatio-Temporal Fusion Attention: A Novel Approach for Remaining Useful Life Prediction Based on Graph Neural Network
Ziqian Kong, Xiaohang Jin, Zhengguo Xu, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-12
Closed Access | Times Cited: 72
A new supervised multi-head self-attention autoencoder for health indicator construction and similarity-based machinery RUL prediction
Yi Qin, Jiahong Yang, Jianghong Zhou, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 101973-101973
Closed Access | Times Cited: 51
Remaining Useful Life Prediction by Distribution Contact Ratio Health Indicator and Consolidated Memory GRU
Jianghong Zhou, Yi Qin, Jun Luo, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 7, pp. 8472-8483
Closed Access | Times Cited: 48
Automatic multi-differential deep learning and its application to machine remaining useful life prediction
Sheng Xiang, Yi Qin, Fuqiang Liu, et al.
Reliability Engineering & System Safety (2022) Vol. 223, pp. 108531-108531
Closed Access | Times Cited: 41
A concise self-adapting deep learning network for machine remaining useful life prediction
Sheng Xiang, Yi Qin, Jun Luo, et al.
Mechanical Systems and Signal Processing (2023) Vol. 191, pp. 110187-110187
Closed Access | Times Cited: 30
Cocktail LSTM and Its Application Into Machine Remaining Useful Life Prediction
Sheng Xiang, Jianghong Zhou, Jun Luo, et al.
IEEE/ASME Transactions on Mechatronics (2023) Vol. 28, Iss. 5, pp. 2425-2436
Closed Access | Times Cited: 24
Dynamic weighted federated remaining useful life prediction approach for rotating machinery
Yi Qin, Jiahong Yang, Jianghong Zhou, et al.
Mechanical Systems and Signal Processing (2023) Vol. 202, pp. 110688-110688
Closed Access | Times Cited: 22
A contrastive learning framework enhanced by unlabeled samples for remaining useful life prediction
Ziqian Kong, Xiaohang Jin, Zhengguo Xu, et al.
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109163-109163
Closed Access | Times Cited: 21
A novel machinery RUL prediction method based on exponential model and cross-domain health indicator considering first-to-end prediction time
Xuewu Pei, Xinyu Li, Liang Gao
Mechanical Systems and Signal Processing (2024) Vol. 209, pp. 111122-111122
Closed Access | Times Cited: 10
Dual-Thread Gated Recurrent Unit for Gear Remaining Useful Life Prediction
Jianghong Zhou, Yi Qin, Jun Luo, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 7, pp. 8307-8318
Closed Access | Times Cited: 36
Canonical correlation analysis of dimension reduced degradation feature space for machinery condition monitoring
Xiaomeng Li, Yi Wang, Baoping Tang, et al.
Mechanical Systems and Signal Processing (2022) Vol. 182, pp. 109603-109603
Closed Access | Times Cited: 32
Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review
Somayeh Bakhtiari Ramezani, Logan Cummins, Brad Killen, et al.
IEEE Access (2023) Vol. 11, pp. 41741-41769
Open Access | Times Cited: 16
An attention-based multi-scale temporal convolutional network for remaining useful life prediction
Zhiqiang Xu, Yujie Zhang, Qiang Miao
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110288-110288
Closed Access | Times Cited: 7
A comprehensive survey of machine remaining useful life prediction approaches based on pattern recognition: taxonomy and challenges
Jianghong Zhou, Jiahong Yang, Quan Qian, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 062001-062001
Closed Access | Times Cited: 6
Remaining Useful Life Prognosis Method of Rolling Bearings Considering Degradation Distribution Shift
Bo Tang, Dechen Yao, Jianwei Yang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-13
Closed Access | Times Cited: 6
Method for predicting remaining useful life of rolling bearings based on dynamic complexity characteristic entropy and quantum neural networks
Yang Liu, Yingchun Wang, Yudong Wang, et al.
Engineering Failure Analysis (2025), pp. 109315-109315
Closed Access
An unsupervised framework for dynamic health indicator construction and its application in rolling bearing prognostics
Tongda Sun, Chen Yin, Huailiang Zheng, et al.
Reliability Engineering & System Safety (2025), pp. 111039-111039
Closed Access
Transfer life prediction of gears by cross-domain health indicator construction and multi-hierarchical long-term memory augmented network
Dingliang Chen, Yi Qin, Quan Qian, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108916-108916
Closed Access | Times Cited: 27
Overview of fault prognosis for traction systems in high-speed trains: A deep learning perspective
Kai Zhong, Jiayi Wang, Shuiqing Xu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106845-106845
Closed Access | Times Cited: 12
Remaining life prediction of bearings based on improved IF-SCINet
Jing Zhang, Chao Zhang, Shuai Xu, et al.
IEEE Access (2024) Vol. 12, pp. 19598-19611
Open Access | Times Cited: 4
Degradation Modelling and Prognostics of Rotating Equipment with Automated Machine Learning
Stefanos Kontos, Alexandros Bousdekis, Katerina Lepenioti, et al.
Procedia Computer Science (2025) Vol. 253, pp. 1640-1648
Open Access
S-WhiteSVDD: A feature fusion approach for diesel engine performance degradation assessment using Multi-Source impulse signals
Anzheng Huang, Zhiwei Mao, Fengchun Liu, et al.
Mechanical Systems and Signal Processing (2025) Vol. 230, pp. 112589-112589
Closed Access
Theoretical investigation of convex representation based interpretable time-frequency weight optimization for Machine health monitoring
Tongtong Yan, Dong Wang, Tangbin Xia, et al.
Mechanical Systems and Signal Processing (2025) Vol. 230, pp. 112625-112625
Closed Access
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