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:

Research on fault diagnosis of gas turbine rotor based on adversarial discriminative domain adaption transfer learning
Shucong Liu, Hongjun Wang, Jingpeng Tang, et al.
Measurement (2022) Vol. 196, pp. 111174-111174
Closed Access | Times Cited: 44

Showing 26-50 of 44 citing articles:

Similar or Unknown Fault Mode Detection of Aircraft Fuel Pump Using Transfer Learning With Subdomain Adaption
Zhen Liu, Xiaojun Zhang, Jun Pan, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 6

Federated Transfer Learning Strategy: A Novel Cross-Device Fault Diagnosis Method Based on Repaired Data
Zhenhao Yan, Jiachen Sun, Yixiang Zhang, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7302-7302
Open Access | Times Cited: 4

Advancing predictive maintenance for gas turbines: An intelligent monitoring approach with ANFIS, LSTM, and reliability analysis
Larbi Brahimi, Nadji Hadroug, Abdelhamid Iratni, et al.
Computers & Industrial Engineering (2024) Vol. 191, pp. 110094-110094
Closed Access | Times Cited: 1

A critical analysis of transfer learning models for computer vision tasks
Jasmine Chhikara, Nidhi Goel, Neeru Rathee
AIP conference proceedings (2024) Vol. 3232, pp. 040016-040016
Closed Access | Times Cited: 1

Cross-Condition Fault Diagnosis of an Aircraft Environmental Control System (ECS) by Transfer Learning
Lilin Jia, Cordelia Mattuvarkuzhali Ezhilarasu, Ian Jennions
Applied Sciences (2023) Vol. 13, Iss. 24, pp. 13120-13120
Open Access | Times Cited: 4

The Lean Blowout Prediction Techniques in Lean Premixed Gas Turbine: An Overview
Abdulrahman Abdullah Bahashwan, Rosdiazli Ibrahim, Madiah Omar, et al.
Energies (2022) Vol. 15, Iss. 22, pp. 8343-8343
Open Access | Times Cited: 7

Bearing fault diagnosis based on spatial filtering constraint feature extraction and deep network
Yunji Zhao, Yuhang Zhou, Xiaozhuo Xu, et al.
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering (2023)
Closed Access | Times Cited: 2

Supervised learning-based multi-site lean blowout prediction for dry low emission gas turbine
Abdulrahman Abdullah Bahashwan, Rosdiazli Ibrahim, Madiah Omar, et al.
Expert Systems with Applications (2023) Vol. 244, pp. 123035-123035
Closed Access | Times Cited: 2

Impact Load Sparse Recognition Method Based on Mc Penalty Function
Hongjun Wang, Xiang Zhang, Zhengbo Wang, et al.
Applied Sciences (2022) Vol. 12, Iss. 16, pp. 8147-8147
Open Access | Times Cited: 3

Transfer condition assessment of gas turbines via double multi-task Gaussian process
Shiduo Cao, Changjun Liu, He Xu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102782-102782
Closed Access

Multi-source dynamic adaptive domain generalization network for crack detection under unknown temperature environment
J. N. Yang, Zhiqiang Gan, Tiantian Wang, et al.
Measurement (2024) Vol. 240, pp. 115588-115588
Closed Access

Data-Driven Generative Model Aimed to Create Synthetic Data for the Long-Term Forecast of Gas Turbine Operation
Enzo Losi, Lucrezia Manservigi, Pier Ruggero Spina, et al.
Journal of Engineering for Gas Turbines and Power (2024) Vol. 147, Iss. 3
Closed Access

An Identification Method for Rotor Axis Orbits based on Enhanced Hierarchical Multivariate Fuzzy Entropy and Extreme Learning Machine
Fei Chen, Pengfei Lan, Ting Liu, et al.
International Journal of Fuzzy Systems (2024)
Closed Access

Bearing fault diagnosis for variable working conditions via lightweight transformer and homogeneous generalized contrastive learning with inter-class repulsive discriminant
Qiang Zhou, Wengang Ma, Yadong Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109548-109548
Closed Access

Fault diagnosis of wind power pitch bearings based on spatiotemporal clustering and a deep attention subdomain adaptive residual network
Peng Jiang, Yuhui Wang, Chang Yang, et al.
Measurement (2024) Vol. 242, pp. 116187-116187
Closed Access

Health status monitoring of high-speed train brake pads considering noise under variable working conditions
Zhuang Kang, Min Zhang, Wenming Cheng, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 3, pp. 1449-1467
Closed Access | Times Cited: 1

A Novel Transfer Learning Method for Robot Bearing Fault Diagnosis Based on Deep Convolutional Residual Wasserstein Adversarial Network
Bing Pan, Xin Xiong, Hailiang Hu, et al.
Lecture notes in computer science (2023), pp. 493-505
Closed Access

Intelligent faults diagnostics of turbine vibration’s via Fourier transform and neuro-fuzzy systems with wavelets exploitation
Nadji Hadroug, Abdelhamid Iratni, Ahmed Hafaifa, et al.
Smart Science (2023) Vol. 12, Iss. 1, pp. 155-184
Closed Access

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