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:

Transfer learning for remaining useful life prediction of multi-conditions bearings based on bidirectional-GRU network
Yudong Cao, Minping Jia, Peng Ding, et al.
Measurement (2021) Vol. 178, pp. 109287-109287
Closed Access | Times Cited: 143

Showing 101-125 of 143 citing articles:

Experimental and computational assessment of wetting pattern for two-layered soil profiles in pulse drip irrigation: Designing a novel optimized bidirectional deep learning paradigm
Mehdi Jamei, Farahnaz Karimi, Mumtaz Ali, et al.
Journal of Hydrology (2022) Vol. 614, pp. 128496-128496
Closed Access | Times Cited: 7

Discovering New Prognostic Features for the Harmonic Reducer in Remaining Useful Life Prediction
Jin Wu, Lulu Jiang, Jingfu Li, et al.
Shock and Vibration (2023) Vol. 2023, pp. 1-15
Open Access | Times Cited: 3

Transfer fault prognostic for rolling bearings across different working conditions: a domain adversarial perspective
Cheng‐Geng Huang, Changhao Men, Mohammad Yazdi, et al.
The International Journal of Advanced Manufacturing Technology (2022)
Closed Access | Times Cited: 5

Multihorizons transfer strategy for continuous online prediction of time‐series data in complex systems
Liang Zhou, Huawei Wang
International Journal of Intelligent Systems (2022) Vol. 37, Iss. 10, pp. 7706-7735
Closed Access | Times Cited: 5

Research on Spider Sex Recognition From Images Based on Deep Learning
Qianjun Chen, Yongchang Ding, Chang Liu, et al.
IEEE Access (2021) Vol. 9, pp. 120985-120995
Open Access | Times Cited: 6

A Shape-constrained Transfer Temporal Transformer Network for remaining useful life prediction of rotating machines
Wenbin Song, Yiming He, Xinyu Li, et al.
Measurement (2023) Vol. 224, pp. 113857-113857
Closed Access | Times Cited: 2

Multiscale capsule networks with attention mechanisms based on domain-invariant properties for cross-domain lifetime prediction
Zhiwu Shang, Zehua Feng
Digital Signal Processing (2023) Vol. 146, pp. 104368-104368
Closed Access | Times Cited: 2

Cost-sensitive learning considering label and feature distribution consistency: A novel perspective for health prognosis of rotating machinery with imbalanced data
Yudong Cao, Minping Jia, Xiaoli Zhao, et al.
Expert Systems with Applications (2024) Vol. 250, pp. 123930-123930
Closed Access

A Combined Temporal Convolutional Network and Gated Recurrent Unit for the Remaining Useful Life Prediction of Rolling Element Bearings
Hong Ye Tan, Yajun Shang, Hongjiao Luo, et al.
Mechanisms and machine science (2024), pp. 853-862
Closed Access

A Seq2Seq transformation strategy for generalizing a pre-trained model in anomaly detection of rolling element bearings
Owen H.T. Lu
Expert Systems with Applications (2024) Vol. 254, pp. 124297-124297
Closed Access

Environmental information-assisted intelligent fusion localization for vehicles in urban area
Qimin Xu, Xueke Yu, Xu Li, et al.
Measurement (2024) Vol. 237, pp. 115144-115144
Closed Access

Deep transfer learning in machinery remaining useful life prediction: A systematic review
Gaige Chen, Xianguang Kong, Han Cheng, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 012005-012005
Closed Access

A novel multi-source domain transfer learning method for remaining useful life prediction using multi-scale attention-based temporal convolutional network
Qiang Zhang, J. Liu, Qiong Liu
2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) (2024), pp. 1-5
Closed Access

Trend-constrained pairing based incremental transfer learning for remaining useful life prediction of bearings in wind turbines
X. N. Li, Wei Teng, Luo Wang, et al.
Expert Systems with Applications (2024), pp. 125731-125731
Closed Access

A novel cross-domain adaption network based on Se-Sk-DenseNet for remaining useful life prediction of rolling bearings under different working conditions
Baosu Guo, Hang Li, Hao Dong, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076114-076114
Open Access

A Rolling Bearing Performance Degradation Evaluation Method Based on Statistical Correlation Superposition
Jiesong Li, Tao Liu, Xing Wu
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access

Research on remaining useful life prediction methods for rolling bearings based on a novel gated unit
Ke Ma, Weiguo Huang, Chuancang Ding, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116138-116138
Closed Access

A transfer learning method using auxiliary timestamp regressor for remaining useful life prediction
Han Li, Wei Dong, Guohua Zhang, et al.
(2024) Vol. 2010, pp. 243-247
Closed Access

A stage-related online incremental transfer learning-based remaining useful life prediction method of bearings
Weisen Guo, Fang Li, Fang Li, et al.
Applied Soft Computing (2024), pp. 112491-112491
Closed Access

A novel two-dimensional progressive domain adaptation framework for cross-domain remaining useful life prediction
Z. Cen, Shaolin Hu, Yandong Hou, et al.
Measurement (2024), pp. 116411-116411
Closed Access

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