OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Intelligent fault diagnosis methods toward gas turbine: A review
Xiaofeng Liu, Yingjie CHEN, Liuqi Xiong, et al.
Chinese Journal of Aeronautics (2023) Vol. 37, Iss. 4, pp. 93-120
Open Access | Times Cited: 25

Showing 25 citing articles:

Neural Network Signal Integration from Thermogas-Dynamic Parameter Sensors for Helicopters Turboshaft Engines at Flight Operation Conditions
Serhii Vladov, Łukasz Ścisło, Валерій Сокуренко, et al.
Sensors (2024) Vol. 24, Iss. 13, pp. 4246-4246
Open Access | Times Cited: 18

Neural Network Approximation of Helicopter Turboshaft Engine Parameters for Improved Efficiency
Serhii Vladov, Ruslan Yakovliev, Maryna Bulakh, et al.
Energies (2024) Vol. 17, Iss. 9, pp. 2233-2233
Open Access | Times Cited: 12

An adversarial transfer learning method based on domain distribution prediction for aero-engine fault diagnosis
Jintao Hu, Min Chen, Hailong Tang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108287-108287
Closed Access | Times Cited: 8

Deep transfer learning strategy in intelligent fault diagnosis of gas turbines based on the Koopman operator
Fatemeh Negar Irani, Mohammadjavad Soleimani, Meysam Yadegar, et al.
Applied Energy (2024) Vol. 365, pp. 123256-123256
Closed Access | Times Cited: 5

Intelligent Performance Degradation Prediction of Light-Duty Gas Turbine Engine Based on Limited Data
Chunyan Hu, Keqiang Miao, Mingyang Zhou, et al.
Symmetry (2025) Vol. 17, Iss. 2, pp. 277-277
Open Access

Fast prediction of flow field in scramjet combustor based on physical information neural network under wide Mach number
Xue Deng, Mingming Guo, Ye Tian, et al.
Chinese Journal of Aeronautics (2025), pp. 103482-103482
Open Access

A model mismatch method for gas turbine fault detection
Junqi Luan, Shuying Li, Yunpeng Cao
Measurement (2025), pp. 116680-116680
Closed Access

A finite-orthogonal-basis reduced-order model for solving partial differential equations
Hongjiang Wang, Chaohui Huang, Yang Xia, et al.
Physics of Fluids (2025) Vol. 37, Iss. 1
Closed Access

Aero-engines life cycle state assessment framework based on twin model mismatch
Junqi Luan, Shuying Li, Yunpeng Cao
Mechanical Systems and Signal Processing (2025) Vol. 225, pp. 112298-112298
Closed Access

Hybrid acceleration schedule design for gas turbine engine using adaptive sample error weighting multilayer perceptron network
Kang Wang, Xinhai Zhang, Hailong Feng, et al.
Energy (2025), pp. 134714-134714
Closed Access

A novel adaptive monitoring framework for detecting the abnormal states of aero-engines with maneuvering flight data
Jian Wen Wang, Y. J. Song, He Tian
Reliability Engineering & System Safety (2025), pp. 110910-110910
Closed Access

Fault diagnosis of gas turbine based on feature fusion cascade neural network
Bo Yu, Liang Cao, Daxing Xie, et al.
Energy (2025), pp. 135439-135439
Closed Access

Continual contrastive reinforcement learning: Towards stronger agent for environment-aware fault diagnosis of aero-engines through long-term optimization under highly imbalance scenarios
Haoze Wu, Shisheng Zhong, Minghang Zhao, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103297-103297
Closed Access

Loaded tooth contact analysis and meshing stiffness calculation for cracked spiral bevel gears
Zhen Liu, Fucai Li, Wenjie Bao, et al.
Chinese Journal of Aeronautics (2024)
Open Access | Times Cited: 2

Few-shot anomaly detection with adaptive feature transformation and descriptor construction
Zhengnan HU, Xiangrui ZENG, Yiqun Li, et al.
Chinese Journal of Aeronautics (2024)
Open Access | Times Cited: 2

Deep subdomain adversarial network with self-supervised learning for aero-engine high speed bearing fault diagnosis with unknown working conditions
Huadong Shi, Siyan Cao, Hongfu Zuo, et al.
Measurement (2024) Vol. 241, pp. 115668-115668
Closed Access | Times Cited: 2

An innovative data-driven AI approach for detecting and isolating faults in gas turbines at power plants
Mohammad Hussein Amiri, Nastaran Mehrabi Hashjin, Maryam Khanian Najafabadi, et al.
Expert Systems with Applications (2024) Vol. 263, pp. 125497-125497
Closed Access | Times Cited: 2

Actuator fault diagnosis and severity identification of turbofan engines for steady-state and dynamic conditions
Yu-Zhi Chen, Wei Zhang, B. Zhao, et al.
Chinese Journal of Aeronautics (2024)
Open Access | Times Cited: 1

An Integrated Monitoring, Diagnostics, and Prognostics System for Aero-Engines under Long-Term Performance Deterioration
Juan Luis Pérez-Ruiz, Yu Tang, Igor Loboda, et al.
Aerospace (2024) Vol. 11, Iss. 3, pp. 217-217
Open Access

Application of a surrogate model for condition monitoring of a digital twin gas turbine
Junqi Luan, Shuying Li, Yunpeng Cao, et al.
Applied Mathematical Modelling (2024) Vol. 137, pp. 115683-115683
Closed Access

A Multiple Model-Based Approach for Gas Turbine Fault Diagnosis
Sadegh Akbarpour, Mohammad Javad Khosrowjerdi
Iranian Journal of Science and Technology Transactions of Electrical Engineering (2024)
Closed Access

Model-Assisted Probabilistic Neural Networks for Effective Turbofan Fault Diagnosis
Christoforos Romesis, N. Aretakis, K. Mathioudakis
Aerospace (2024) Vol. 11, Iss. 11, pp. 913-913
Open Access

Dynamic Data-Driven Deterioration Model for Sugarcane Shredder Hammers Oriented to Lifetime Extension
Diego Rodriguez-Obando, Javier Rosero García, Esteban Rosero
Mathematics (2024) Vol. 12, Iss. 22, pp. 3507-3507
Open Access

Two-layer fault diagnosis model of aircraft based on LSTM
Chen Haipeng, Jie Yan, Wenxing Fu
Aerospace Science and Technology (2024), pp. 109756-109756
Closed Access

Page 1

Scroll to top