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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:

Remaining useful life prediction techniques for electric valves based on convolution auto encoder and long short term memory
Hang Wang, Minjun Peng, Zhuang Miao, et al.
ISA Transactions (2020) Vol. 108, pp. 333-342
Closed Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

Multicellular LSTM-based deep learning model for aero-engine remaining useful life prediction
Sheng Xiang, Yi Qin, Jun Luo, et al.
Reliability Engineering & System Safety (2021) Vol. 216, pp. 107927-107927
Closed Access | Times Cited: 146
Recent advances and trends of predictive maintenance from data-driven machine prognostics perspective
Yuxin Wen, Md Fashiar Rahman, Honglun Xu, et al.
Measurement (2021) Vol. 187, pp. 110276-110276
Open Access | Times Cited: 146
Transfer Learning for Remaining Useful Life Prediction Across Operating Conditions Based on Multisource Domain Adaptation
Yifei Ding, Peng Ding, Xiaoli Zhao, et al.
IEEE/ASME Transactions on Mechatronics (2022) Vol. 27, Iss. 5, pp. 4143-4152
Closed Access | Times Cited: 67
Predictive Maintenance in the Automotive Sector: A Literature Review
Fabio Arena, Mario Collotta, Liliana Luca, et al.
Mathematical and Computational Applications (2021) Vol. 27, Iss. 1, pp. 2-2
Open Access | Times Cited: 66
Remaining useful life prediction based on transfer multi-stage shrinkage attention temporal convolutional network under variable working conditions
Wanxiang Li, Zhiwu Shang, Maosheng Gao, et al.
Reliability Engineering & System Safety (2022) Vol. 226, pp. 108722-108722
Closed Access | Times Cited: 40
Causal augmented ConvNet: A temporal memory dilated convolution model for long-sequence time series prediction
Abiodun Ayodeji, Zhiyu Wang, Wenhai Wang, et al.
ISA Transactions (2021) Vol. 123, pp. 200-217
Closed Access | Times Cited: 44
Spatiotemporally Multidifferential Processing Deep Neural Network and its Application to Equipment Remaining Useful Life Prediction
Sheng Xiang, Yi Qin, Jun Luo, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 10, pp. 7230-7239
Closed Access | Times Cited: 43
RUL Prediction of Rolling Bearings Based on a DCAE and CNN
Chenyang Wang, Wanlu Jiang, Xukang Yang, et al.
Applied Sciences (2021) Vol. 11, Iss. 23, pp. 11516-11516
Open Access | Times Cited: 43
Remaining useful life prediction for rolling bearings using multi-layer grid search and LSTM
Zihan Chang, Wei Yuan, Kou Huang
Computers & Electrical Engineering (2022) Vol. 101, pp. 108083-108083
Closed Access | Times Cited: 36
Deep learning for safety assessment of nuclear power reactors: Reliability, explainability, and research opportunities
Abiodun Ayodeji, Muritala Alade Amidu, Samuel Abiodun Olatubosun, et al.
Progress in Nuclear Energy (2022) Vol. 151, pp. 104339-104339
Open Access | Times Cited: 36
DDoS attack detection in smart grid network using reconstructive machine learning models
Sardar Shan Ali Naqvi, Yuancheng Li, Muhammad Uzair
PeerJ Computer Science (2024) Vol. 10, pp. e1784-e1784
Open Access | Times Cited: 5
Intelligent Predictive Maintenance and Remote Monitoring Framework for Industrial Equipment Based on Mixed Reality
Dimitris Mourtzis, John Angelopoulos, Nikos Panopoulos
Frontiers in Mechanical Engineering (2020) Vol. 6
Open Access | Times Cited: 44
Ultrasonic Lamb wave mixing based fatigue crack detection using a deep learning model and higher-order spectral analysis
Santhakumar Sampath, Jinho Jang, Hoon Sohn
International Journal of Fatigue (2022) Vol. 163, pp. 107028-107028
Closed Access | Times Cited: 24
An auto-encoder based LSTM model for prediction of ambient noise levels
S. K. Tiwari, L. A. Kumaraswamidhas, Chitra Gautam, et al.
Applied Acoustics (2022) Vol. 195, pp. 108849-108849
Closed Access | Times Cited: 22
Power transformer fault diagnosis based on a self-strengthening offline pre-training model
Mingwei Zhong, Siqi Yi, Jingmin Fan, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107142-107142
Closed Access | Times Cited: 13
A review of valve health diagnosis and assessment: Insights for intelligence maintenance of natural gas pipeline valves in China
Shijian Zhang, Min Luo, Hao Qian, et al.
Engineering Failure Analysis (2023) Vol. 153, pp. 107581-107581
Closed Access | Times Cited: 12
Rolling bearing remaining useful life prediction using deep learning based on high-quality representation
Chenyang Wang, Wanlu Jiang, Lei Shi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A remaining useful life prediction method based on time–frequency images of the mechanical vibration signals
Xianjun Du, Wenchao Jia, Ping Yu, et al.
Measurement (2022) Vol. 202, pp. 111782-111782
Closed Access | Times Cited: 20
State of health estimation of lithium-ion batteries using Autoencoders and Ensemble Learning
Ji Wu, Junxiong Chen, Feng Xiong, et al.
Journal of Energy Storage (2022) Vol. 55, pp. 105708-105708
Closed Access | Times Cited: 20
Remaining useful life prediction of mechanical system based on performance evaluation and geometric fractional Lévy stable motion with adaptive nonlinear drift
Qiang Li, Zhenhui Ma, Hongkun Li, et al.
Mechanical Systems and Signal Processing (2022) Vol. 184, pp. 109679-109679
Closed Access | Times Cited: 19
Remaining Useful Life Prediction Based on Improved Temporal Convolutional Network for Nuclear Power Plant Valves
Hang Wang, Minjun Peng, Renyi Xu, et al.
Frontiers in Energy Research (2020) Vol. 8
Open Access | Times Cited: 31
Deep Spatiotemporal Convolutional-Neural-Network-Based Remaining Useful Life Estimation of Bearings
Xu Wang, Tianyang Wang, Anbo Ming, et al.
Chinese Journal of Mechanical Engineering (2021) Vol. 34, Iss. 1
Open Access | Times Cited: 25
Research on Prediction Method of Gear Pump Remaining Useful Life Based on DCAE and Bi-LSTM
Chenyang Wang, Wanlu Jiang, Yi Yue, et al.
Symmetry (2022) Vol. 14, Iss. 6, pp. 1111-1111
Open Access | Times Cited: 16
Remaining useful life prediction using composite health index and hybrid LSTM‐SVR model
Liudong Gu, Rui Zheng, Yifan Zhou, et al.
Quality and Reliability Engineering International (2022) Vol. 38, Iss. 7, pp. 3559-3578
Closed Access | Times Cited: 16
Optimization of dilated convolution networks with application in remaining useful life prediction of induction motors
Likang Zheng, Ye He, Xiaoan Chen, et al.
Measurement (2022) Vol. 200, pp. 111588-111588
Closed Access | Times Cited: 16
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