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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:

Deep residual LSTM with domain-invariance for remaining useful life prediction across domains
Song Fu, Yongjian Zhang, Lin Lin, et al.
Reliability Engineering & System Safety (2021) Vol. 216, pp. 108012-108012
Closed Access | Times Cited: 82

Showing 26-50 of 82 citing articles:

Enhancing Prognostics of PEM Fuel Cells with a Dual-Attention LSTM Network for Remaining Useful Life Estimation: A Deep Learning Model
Ahmed Darwish
Sustainable Machine Intelligence Journal (2024) Vol. 7
Open Access | Times Cited: 5
Dual-drive RUL Prediction of Gear Transmission Systems based on Dynamic Model and Unsupervised Domain Adaption under Zero Sample
Yaoyao Han, Xiaoxi Ding, Fengshou Gu, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110442-110442
Closed Access | Times Cited: 5
A transferable neural network method for remaining useful life prediction
Rui He, Zhigang Tian, Ming J. Zuo
Mechanical Systems and Signal Processing (2022) Vol. 183, pp. 109608-109608
Closed Access | Times Cited: 27
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
Feature disentanglement and tendency retainment with domain adaptation for Lithium-ion battery capacity estimation
Fujin Wang, Zhibin Zhao, Zhi Zhai, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108897-108897
Closed Access | Times Cited: 24
New RUL Prediction Method for Rotating Machinery via Data Feature Distribution and Spatial Attention Residual Network
Weiyang Xu, Quan Jiang, Yehu Shen, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-9
Closed Access | Times Cited: 15
RUL prediction of rolling bearings across working conditions based on multi-scale convolutional parallel memory domain adaptation network
Jimeng Li, Weilin Mao, Bixin Yang, et al.
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109854-109854
Closed Access | Times Cited: 13
A Deep-Learning Method for Remaining Useful Life Prediction of Power Machinery via Dual-Attention Mechanism
Fan Wang, Aihua Liu, Chunyang Qu, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 497-497
Open Access
Leveraging working-condition-related features for enhanced cross-domain remaining useful life prediction of aircraft engines
Zhiyao Zhang, Jia Cheng, Pengpeng Chen, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 4
Closed Access
Data Augmentation via Randomized Wavelet Expansion and Its Application in Few-Shot Fault Diagnosis of Aviation Hydraulic Pumps
Minghang Zhao, Xuyun Fu, Yongjian Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 71, pp. 1-13
Closed Access | Times Cited: 28
A new domain adaption residual separable convolutional neural network model for cross-domain remaining useful life prediction
Chengying Zhao, Xianzhen Huang, Shangjie Li, et al.
ISA Transactions (2023) Vol. 145, pp. 239-252
Closed Access | Times Cited: 11
A Novel Prediction Method Based on Bi-Channel Hierarchical Vision Transformer for Rolling Bearings’ Remaining Useful Life
Wei Hao, Zhixuan Li, Guohao Qin, et al.
Processes (2023) Vol. 11, Iss. 4, pp. 1153-1153
Open Access | Times Cited: 10
A core space gradient projection-based continual learning framework for remaining useful life prediction of machinery under variable operating conditions
Xiangyu Ren, Yong Qin, Bin Li, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110428-110428
Closed Access | Times Cited: 3
Novel aeroengine fault diagnosis method based on feature amplification
Lin Lin, Wenhui He, Song Fu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106093-106093
Closed Access | Times Cited: 9
Deep Domain-Invariant Long Short-Term Memory Network for Partial Discharge Localization in Gas-Insulated Switchgear
Yanxin Wang, Jing Yan, Zhou Yang, et al.
IEEE Transactions on Power Delivery (2023) Vol. 38, Iss. 4, pp. 2810-2820
Closed Access | Times Cited: 9
A multi-agent convolution deep reinforcement learning network for aeroengine fleet maintenance strategy optimization
Xiangzhao Xia, Xuyun Fu, Shisheng Zhong, et al.
Journal of Manufacturing Systems (2023) Vol. 68, pp. 410-425
Closed Access | Times Cited: 9
Adversarial Deep Transfer Learning in Fault Diagnosis: Progress, Challenges, and Future Prospects
Yu Guo, Jundong Zhang, Bin Sun, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7263-7263
Open Access | Times Cited: 9
Multifractional and long-range dependent characteristics for remaining useful life prediction of cracking gas compressor
Wanqing Song, Shouwu Duan, Enrico Zio, et al.
Reliability Engineering & System Safety (2022) Vol. 225, pp. 108630-108630
Closed Access | Times Cited: 14
Remaining useful life prediction method combining the life variation laws of aero-turbofan engine and auto-expandable cascaded LSTM model
Likun Hu, Xujie He, Linfei Yin
Applied Soft Computing (2023) Vol. 147, pp. 110836-110836
Closed Access | Times Cited: 8
A feature disentanglement and unsupervised domain adaptation of remaining useful life prediction for sensor-equipped machines
Jianhai Yan, Zhi‐Sheng Ye, Shuguang He, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109736-109736
Closed Access | Times Cited: 8
Remaining Useful Life Prediction Based on Multi-Representation Domain Adaptation
Yi Lyu, Qichen Zhang, Zhenfei Wen, et al.
Mathematics (2022) Vol. 10, Iss. 24, pp. 4647-4647
Open Access | Times Cited: 12
A novel domain adversarial time-varying conditions intervened neural network for drill bit wear monitoring of the jumbo drill under variable working conditions
Lin Lin, Hao Guo, Feng Guo, et al.
Measurement (2023) Vol. 208, pp. 112474-112474
Closed Access | Times Cited: 7
A dual-weighted adversarial network for partial domain fault diagnosis of machinery
Xue Ding, Aidong Deng, Minqiang Deng, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 065108-065108
Closed Access | Times Cited: 2
A Data-driven Deep Learning Approach for Remaining Useful Life in the ion mill etching Process
Ahmed Darwish
Sustainable Machine Intelligence Journal (2024) Vol. 8
Open Access | Times Cited: 2
Self-supervised domain adaptation for machinery remaining useful life prediction
Quy Le Xuan, Marco Munderloh, Jörn Östermann
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110296-110296
Open Access | Times Cited: 2

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