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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:

Generative adversarial networks based remaining useful life estimation for IIoT
Sourajit Behera, Rajiv Misra
Computers & Electrical Engineering (2021) Vol. 92, pp. 107195-107195
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Remaining Useful Life prediction and challenges: A literature review on the use of Machine Learning Methods
Carlos Ferreira, Gil Gonçalves
Journal of Manufacturing Systems (2022) Vol. 63, pp. 550-562
Open Access | Times Cited: 166
A Systematic Review on Imbalanced Learning Methods in Intelligent Fault Diagnosis
Zhijun Ren, Tantao Lin, Ke Feng, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-35
Closed Access | Times Cited: 88
Small data challenges for intelligent prognostics and health management: a review
Chuanjiang Li, Shaobo Li, Yixiong Feng, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 23
Deep Generative Models in the Industrial Internet of Things: A Survey
Suparna De, María Bermúdez-Edo, Honghui Xu, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 18, Iss. 9, pp. 5728-5737
Open Access | Times Cited: 47
Remaining useful life prediction combined dynamic model with transfer learning under insufficient degradation data
Han Cheng, Xianguang Kong, Qibin Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 236, pp. 109292-109292
Closed Access | Times Cited: 26
Generative adversarial networks for prognostic and health management of industrial systems: A review
Qing Li, Yanning Tang, Liying Chu
Expert Systems with Applications (2024) Vol. 253, pp. 124341-124341
Closed Access | Times Cited: 12
Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction
Ruibing Jin, Min Wu, Keyu Wu, et al.
IEEE/CAA Journal of Automatica Sinica (2022) Vol. 9, Iss. 8, pp. 1427-1439
Closed Access | Times Cited: 36
Imbalance fault diagnosis under long-tailed distribution: Challenges, solutions and prospects
Zhuohang Chen, Jinglong Chen, Yong Feng, et al.
Knowledge-Based Systems (2022) Vol. 258, pp. 110008-110008
Closed Access | Times Cited: 35
Data Regeneration Based on Multiple Degradation Processes for Remaining Useful Life Estimation
Ningning Yang, Zhijian Wang, Wenan Cai, et al.
Reliability Engineering & System Safety (2022) Vol. 229, pp. 108867-108867
Closed Access | Times Cited: 31
Multivariate Time-Series Representation Learning via Hierarchical Correlation Pooling Boosted Graph Neural Network
Yucheng Wang, Min Wu, Xiaoli Li, et al.
IEEE Transactions on Artificial Intelligence (2023) Vol. 5, Iss. 1, pp. 321-333
Closed Access | Times Cited: 16
Using transformer and a reweighting technique to develop a remaining useful life estimation method for turbofan engines
Gyeongho Kim, Jae Gyeong Choi, Sunghoon Lim
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108475-108475
Closed Access | Times Cited: 7
Empowering IoT with Generative AI: Applications, Case Studies, and Limitations
Siva Sai, Mizaan Kanadia, Vinay Chamola
IEEE Internet of Things Magazine (2024) Vol. 7, Iss. 3, pp. 38-43
Closed Access | Times Cited: 5
Cloud Based Fault Diagnosis by Convolutional Neural Network as Time–Frequency RGB Image Recognition of Industrial Machine Vibration with Internet of Things Connectivity
Dominik Łuczak, Stefan Brock, Krzysztof Siembab
Sensors (2023) Vol. 23, Iss. 7, pp. 3755-3755
Open Access | Times Cited: 13
A Survey of Industrial AIoT: Opportunities, Challenges, and Directions
Kamran Sattar Awaisi, Qiang Ye, Srinivas Sampalli
IEEE Access (2024) Vol. 12, pp. 96946-96996
Open Access | Times Cited: 5
A critical review on prognostics for stochastic degrading systems under big data
Huiqin Li, Xiaosheng Si, Zhengxin Zhang, et al.
Fundamental Research (2024)
Open Access | Times Cited: 4
Data augmentation based on diffusion probabilistic model for remaining useful life estimation of aero-engines
Wei Wang, Honghao Song, Shubin Si, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110394-110394
Closed Access | Times Cited: 4
Digital twin-driven operational CycleGAN-based multiple virtual-physical mappings for remaining useful life prediction under limited life cycle data
Quanning Xu, Zihao Lei, Gu Shu-Long, et al.
Journal of Advanced Research (2025)
Open Access
Enhanced deep learning framework for accurate near-failure RUL prediction of bearings in varying operating conditions
Anil Kumar, Chander Parkash, Pradeep Kundu, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103231-103231
Closed Access
A comprehensive review on data-driven driver behaviour scoring in vehicles: technologies, challenges and future directions
Vaibhav Shirole, Aniket K. Shahade, Priyanka V. Deshmukh
Discover Artificial Intelligence (2025) Vol. 5, Iss. 1
Open Access
Log-Cumulative feature alignment for enhanced Prognosis of Aero-Engine remaining Useful life
Yang Ge, Xingxing Jiang, Benlian Xu, et al.
Expert Systems with Applications (2025), pp. 127277-127277
Closed Access
A comprehensive review on artificial intelligence driven predictive maintenance in vehicles: technologies, challenges and future research directions
Yashashree Mahale, Shrikrishna Kolhar, Anjali S. More
Deleted Journal (2025) Vol. 7, Iss. 4
Open Access
Data-Driven Remaining Useful Life Prediction for Maritime Equipment: A Literature Survey
Lei Meng, Delin Zhao, Chenxu Hao, et al.
Lecture notes in electrical engineering (2025), pp. 442-451
Closed Access
Multi-Resolution LSTM-Based Prediction Model for Remaining Useful Life of Aero-Engine
Tiantian Xu, Guangjie Han, Hongbo Zhu, et al.
IEEE Transactions on Vehicular Technology (2023) Vol. 73, Iss. 2, pp. 1931-1941
Closed Access | Times Cited: 12
An Adaptive and Dynamical Neural Network for Machine Remaining Useful Life Prediction
Ruibing Jin, Duo Zhou, Min Wu, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 2, pp. 1093-1102
Closed Access | Times Cited: 11
A multi-model data-fusion based deep transfer learning for improved remaining useful life estimation for IIOT based systems
Sourajit Behera, Rajiv Misra
Engineering Applications of Artificial Intelligence (2022) Vol. 119, pp. 105712-105712
Closed Access | Times Cited: 17
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