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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:

An adaptive update model based on improved Long Short Term Memory for online prediction of vibration signal
Huixin Tian, Daixu Ren, Kun Li, et al.
Journal of Intelligent Manufacturing (2020) Vol. 32, Iss. 1, pp. 37-49
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Spatial correlation and temporal attention-based LSTM for remaining useful life prediction of turbofan engine
Huixin Tian, Linzheng Yang, Bingtian Ju
Measurement (2023) Vol. 214, pp. 112816-112816
Closed Access | Times Cited: 63
An optimization-centric review on integrating artificial intelligence and digital twin technologies in manufacturing
Vispi Karkaria, Ying-Kuan Tsai, Yi-Ping Chen, et al.
Engineering Optimization (2025), pp. 1-47
Open Access | Times Cited: 3
Attention mechanism-based deep learning for heat load prediction in blast furnace ironmaking process
Hong‐Wei Xu, Wei Qin, Yan‐Ning Sun, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 3, pp. 1207-1220
Closed Access | Times Cited: 23
Research progress on oil-immersed transformer mechanical condition identification based on vibration signals
Yongteng Sun, Hongzhong Ma
Renewable and Sustainable Energy Reviews (2024) Vol. 196, pp. 114327-114327
Closed Access | Times Cited: 8
On-line prediction of ultrasonic elliptical vibration cutting surface roughness of tungsten heavy alloy based on deep learning
Yanan Pan, Renke Kang, Zhigang Dong, et al.
Journal of Intelligent Manufacturing (2020) Vol. 33, Iss. 3, pp. 675-685
Closed Access | Times Cited: 63
Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer
Hasan Tercan, Philipp Deibert, Tobias Meisen
Journal of Intelligent Manufacturing (2021) Vol. 33, Iss. 1, pp. 283-292
Open Access | Times Cited: 52
Self learning-empowered thermal error control method of precision machine tools based on digital twin
Chi Ma, Hongquan Gui, Jialan Liu
Journal of Intelligent Manufacturing (2021) Vol. 34, Iss. 2, pp. 695-717
Closed Access | Times Cited: 44
Non-stationary vibration fatigue life prediction of automotive components based on long short-term memory network
Zhang Chun, Ruoqing Wan, Junru He, et al.
International Journal of Fatigue (2024) Vol. 187, pp. 108459-108459
Closed Access | Times Cited: 7
Towards real-time adaptive prediction of rotary kiln processes: An enhanced framework combining parallel temporal convolution and long short-term memory networks
Xiaoming Wang, Xiaojun Liang, Chaobo Zhang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 109993-109993
Closed Access
Trustworthy and intelligent fault diagnosis with effective denoising and evidential stacked GRU neural network
Hanting Zhou, Wenhe Chen, Jing Liu, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 7, pp. 3523-3542
Open Access | Times Cited: 9
Early warning of reciprocating compressor valve fault based on deep learning network and multi-source information fusion
Hongyi Wang, Jiwei Chen, Xinjun Zhu, et al.
Transactions of the Institute of Measurement and Control (2022) Vol. 45, Iss. 4, pp. 777-789
Closed Access | Times Cited: 13
Industrial-oriented machine learning big data framework for temporal-spatial error prediction and control with DTSMGCN model
Hongquan Gui, Jialan Liu, Chi Ma, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 3, pp. 1173-1196
Closed Access | Times Cited: 7
Comparative Performance Analysis of Vibration Prediction Using RNN Techniques
Ju-Hyung Lee, Jun-Ki Hong
Electronics (2022) Vol. 11, Iss. 21, pp. 3619-3619
Open Access | Times Cited: 9
Vibration Prediction of Flying IoT Based on LSTM and GRU
Jun-Ki Hong
Electronics (2022) Vol. 11, Iss. 7, pp. 1052-1052
Open Access | Times Cited: 8
Deep learning based self-adaptive modeling of multimode continuous manufacturing processes and its application to rotary drying process
Tianyu Wang, Ruixiang Zheng, Mian Li, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 1
Operation status monitoring of reciprocating compressors based on the fusion of spatio-temporal multiple information
Huixin Tian, Renjie Li, Linzheng Yang
Measurement (2022) Vol. 204, pp. 112087-112087
Closed Access | Times Cited: 7
Signal Interference Detection Algorithm Based on Bidirectional Long Short-Term Memory Neural Network
Ningbo Xiao, Zuxun Song
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-7
Open Access | Times Cited: 5
Anticipatory analysis of AGV trajectory in a 5G network using machine learning
Alberto Mozó, Stanislav Vakaruk, Jesús Enrique Sierra-García, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 4, pp. 1541-1569
Open Access | Times Cited: 2
An Internal Detector Positioning Method in Oil Pipelines Using Vibration Signal
Senxiang Lu, Tianhong Zhou, Chenyang Wang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 12, pp. 13411-13421
Closed Access | Times Cited: 2
Reliability study of stock index forecasting in volatile and trending cities using public sentiment ——based on word2Vec and LSTM models
Yuanyuan Ma, Chenglong Liu, Jie Tian Zhang, et al.
Applied Economics (2022) Vol. 55, Iss. 43, pp. 5013-5032
Closed Access | Times Cited: 4
Bound smoothing based time series anomaly detection using multiple similarity measures
Wenqing Wang, Junpeng Bao, Tao Li
Journal of Intelligent Manufacturing (2020) Vol. 32, Iss. 6, pp. 1711-1727
Closed Access | Times Cited: 5
IoT-Based Intelligent Monitoring System Applying RNN
Moon-Sun Shin, Seon-Min Hwang, Byung‐Cheol Kim, et al.
Applied Sciences (2022) Vol. 12, Iss. 20, pp. 10421-10421
Open Access | Times Cited: 3
Non-Stationary Vibration Fatigue Life Prediction of Automotive Components Based on Long Short-Term Memory Network
Zhang Chun, Ruoqing Wan, Junru He, et al.
(2024)
Closed Access
Blstm-Based Variational Encoder Model for Remaining Useful Life Prediction Through a Dual-Constraint Design
Xuan Wang, Bo She, Shi-qian Wu, et al.
(2024)
Closed Access
An Adaptive Update Method of Digital Twins for Physical Entities State Changes
L. Mengjie, Yue Zhao, Kai Kou, et al.
(2024), pp. 197-201
Closed Access
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