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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:

Digital twin model of gas turbine and its application in warning of performance fault
Minghui Hu, HE Ya, Lin Xin-zhi, et al.
Chinese Journal of Aeronautics (2022) Vol. 36, Iss. 3, pp. 449-470
Open Access | Times Cited: 47

Showing 26-50 of 47 citing articles:

Dynamically updated digital twin for prognostics and health management: Application in permanent magnet synchronous motor
Haoyu GUO, Shaoping Wang, Jian Shi, et al.
Chinese Journal of Aeronautics (2023) Vol. 37, Iss. 6, pp. 244-261
Open Access | Times Cited: 5
Uncertainty Evaluation of a Gas Turbine Model Based on a Nonlinear Autoregressive Exogenous Model and Monte Carlo Dropout
Armando Cajahuaringa, Rubén Aquize Palacios, Juan Moisés Maurício Villanueva, et al.
Sensors (2024) Vol. 24, Iss. 2, pp. 465-465
Open Access | Times Cited: 1
Gas turbine aero engine fault detection using Geo-TLSVM and digital twin with multimodal data analysis
Naga Venkata Rama Subbarao Tadepalli, K. Ramji
Engineering Research Express (2024) Vol. 6, Iss. 1, pp. 015523-015523
Open Access | Times Cited: 1
An improved high-fidelity adaptive model for integrated inlet-engine-nozzle based on mechanism-data fusion
Chen Wang, Ziyang YU, Xian Du, et al.
Chinese Journal of Aeronautics (2024) Vol. 37, Iss. 8, pp. 190-207
Open Access | Times Cited: 1
Digital Twins in Architecture
Anca-Simona Horvath, Panagiota Pouliou
CRC Press eBooks (2024), pp. 662-686
Open Access | Times Cited: 1
Synergising an Advanced Optimisation Technique with Deep Learning: A Novel Method in Fault Warning Systems
Jia Tian, Xingqin Zhang, Shuangqing Zheng, et al.
Mathematics (2024) Vol. 12, Iss. 9, pp. 1301-1301
Open Access | Times Cited: 1
Investigation of Operational Settings, Environmental Conditions, and Faults on the Gas Turbine Performance
Shazaib Ahsan, ‪Tamiru Alemu Lemma, Muhammad Baqir Hashmi, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 125902-125902
Open Access | Times Cited: 1
Digital-Triplet: a new three entities digital-twin paradigm for equipment fault diagnosis
Huang Zhang, Zili Wang, Shuyou Zhang, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 1
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
GAS turbine sensor fault diagnostic system in a real-time executable digital-twin
Samuel Cruz-Manzo, Vili Panov, Chris Bingham
Journal of the Global Power and Propulsion Society (2023) Vol. 7, pp. 85-94
Open Access | Times Cited: 3
A product performance rapid simulation approach driven by digital twin data: Part 2. For variable operating conditions
Lili Dong, Tianliang Hu, Junrui Li, et al.
Advanced Engineering Informatics (2023) Vol. 59, pp. 102336-102336
Closed Access | Times Cited: 3
A Comparative Modeling Study of Gas Turbine Using Adaptive Neural Network, Nonlinear Autoregressive Exogenous, and Fuzzy Logic Approaches for Modeling and Control
Abdelhafid Benyounes, Abdelhamid Iratni, Ahmed Hafaifa, et al.
International Journal of Smart grid (2023), Iss. V7i2
Open Access | Times Cited: 2
A Digital Twin Approach for Gas Turbine Performance Based on Deep Multi-Model Fusion
Jingkai Zhang, Zhitao Wang, Shuying Li, et al.
(2023)
Closed Access | Times Cited: 2
A Digital-Twin Assisted Performance Prediction Model for Industrial Gas Turbines
Qinni Huang, Xiwen Gu, Jianwei Shao, et al.
Mechanisms and machine science (2024), pp. 511-521
Closed Access
Digital Twin Application on System Identification and Control
Rakesh Kumar Pattanaik, Mihir Narayan Mohanty
(2024), pp. 123-162
Closed Access
Human Factors and Security in Digital Twins: Challenges and Future Prospects
Sanjay Misra, Kousik Barik, Harald Thunem, et al.
Lecture notes in computer science (2024), pp. 281-295
Closed Access
Design and application of the gas turbine performance monitoring system based on digital twins
Zongxi Zhang, Zhi‐Tao Wang
(2024), pp. 35-35
Closed Access
A Dataset and a Comparison of Classification Methods for Valve Plate Fault Prediction of Piston Pump
M. Rojek, Marcin Blachnik
Applied Sciences (2024) Vol. 14, Iss. 16, pp. 7183-7183
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
Creep–fatigue damage assessment in high-temperature piping system under bending and torsional moments using wireless MEMS-type gyro sensor
Masayuki Arai, Hiroyuki Hamada, Kazuma Okuno
Journal of the Mechanical Behavior of Materials (2024) Vol. 33, Iss. 1
Open 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
Digital Twins for Improving Proactive Maintenance Management
Attia Hussien Gomaa
Engineering Science (2024) Vol. 9, Iss. 3, pp. 60-70
Open Access
Quantitatively evaluate the cylindricity of Large size pipe fitting via laser displacement sensor and Digital twin technology
Jie Ren, Jianglong Li, Hui Guo, et al.
Frontiers in Computing and Intelligent Systems (2023) Vol. 2, Iss. 2, pp. 75-80
Open Access | Times Cited: 1
Operational data-based adaptive improvement method of gas turbine component characteristics for performance simulation
Peng Zhang, Kun Feng, Baoxia Liu, et al.
Journal of Mechanical Science and Technology (2023) Vol. 37, Iss. 12, pp. 6691-6709
Closed Access | Times Cited: 1
Research on Key Technology of Digital Twin and Its Application in Integrated Energy System
Qi Zhao, Sheng Chen, Xinying Wang, et al.
2021 11th International Conference on Power and Energy Systems (ICPES) (2022), pp. 950-956
Closed Access | Times Cited: 2
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