Open Access Helper

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:

Gas path fault diagnosis for gas turbine group based on deep transfer learning
Xusheng Yang, Mingliang Bai, Jinfu Liu, et al.
Measurement (2021) Vol. 181, pp. 109631-109631
Closed Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

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
Feature selection and feature learning in machine learning applications for gas turbines: A review
Jiarui Xie, Manuel Sage, Yaoyao Fiona Zhao
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105591-105591
Open Access | Times Cited: 49
Physics-informed machine learning in prognostics and health management: State of the art and challenges
Weikun Deng, Khanh T.P. Nguyen, Kamal Medjaher, et al.
Applied Mathematical Modelling (2023) Vol. 124, pp. 325-352
Open Access | Times Cited: 35
Machine learning for fault analysis in rotating machinery: A comprehensive review
Oğuzhan Daş, Duygu Bağcı Daş, Derya Birant
Heliyon (2023) Vol. 9, Iss. 6, pp. e17584-e17584
Open Access | Times Cited: 29
A digital twin approach for gas turbine performance based on deep multi-model fusion
Jingkai Zhang, Zhitao Wang, Shuying Li, et al.
Applied Thermal Engineering (2024) Vol. 246, pp. 122954-122954
Closed Access | Times Cited: 9
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
Latest innovations in the field of condition-based maintenance of rotatory machinery: a review
Anil Kumar, Chander Parkash, Hesheng Tang, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 022003-022003
Closed Access | Times Cited: 20
A model mismatch method for gas turbine fault detection
Junqi Luan, Shuying Li, Yunpeng Cao
Measurement (2025), pp. 116680-116680
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
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
Degradation prognostics of gas turbine performance in icing condition based on physics-data hybrid modeling method
Jingkai Zhang, Zhitao Wang, Ming Liang, et al.
Applied Thermal Engineering (2025), pp. 126178-126178
Closed Access
Deep graph gated recurrent unit network-based spatial–temporal multi-task learning for intelligent information fusion of multiple sites with application in short-term spatial–temporal probabilistic forecast of photovoltaic power
Mingliang Bai, Z. C. Zhou, Jingjing Li, et al.
Expert Systems with Applications (2023) Vol. 240, pp. 122072-122072
Closed Access | Times Cited: 14
An Artificial Neural Network-Based Fault Diagnostics Approach for Hydrogen-Fueled Micro Gas Turbines
Muhammad Baqir Hashmi, Mohammad Mansouri, Amare Desalegn Fentaye, et al.
Energies (2024) Vol. 17, Iss. 3, pp. 719-719
Open Access | Times Cited: 4
A fine-tuning deep learning framework to palliate data distribution shift effects in rotary machine fault detection
Nima Rezazadeh, Donato Perfetto, Mario De Oliveira, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 4
Aircraft Engine Performance Monitoring and Diagnostics Based on Deep Convolutional Neural Networks
Amare Desalegn Fentaye, Valentina Zaccaria, Konstantinos Kyprianidis
Machines (2021) Vol. 9, Iss. 12, pp. 337-337
Open Access | Times Cited: 30
Gas turbine availability improvement based on long short-term memory networks using deep learning of their failures data analysis
Ahmed Zohair Djeddi, Ahmed Hafaifa, Nadji Hadroug, et al.
Process Safety and Environmental Protection (2021) Vol. 159, pp. 1-25
Closed Access | Times Cited: 29
A novel sub-label learning mechanism for enhanced cross-domain fault diagnosis of rotating machinery
Minqiang Deng, Aidong Deng, Yaowei Shi, et al.
Reliability Engineering & System Safety (2022) Vol. 225, pp. 108589-108589
Closed Access | Times Cited: 21
Micro Gas Turbine fault detection and isolation with a combination of Artificial Neural Network and off-design performance analysis
S.S. Talebi, Ali Madadi, A. M. Tousi, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 113, pp. 104900-104900
Closed Access | Times Cited: 20
Thermally efficient gas turbine with pressure drop-based automated filter cleaning and optimized fuel control system
Ravindra S. Surase, K. Rama Krishna, Ramchandra P. Chopade
Applied Thermal Engineering (2024), pp. 122385-122385
Closed Access | Times Cited: 3
Implementation of Vibrations Faults Monitoring and Detection on Gas Turbine System Based on the Support Vector Machine Approach
Nadji Hadroug, Abdelhamid Iratni, Ahmed Hafaifa, et al.
Journal of Vibration Engineering & Technologies (2023) Vol. 12, Iss. 3, pp. 2877-2902
Closed Access | Times Cited: 9
Explainable fault diagnosis of oil-gas treatment station based on transfer learning
Jiaquan Liu, Lei Hou, Rui Zhang, et al.
Energy (2022) Vol. 262, pp. 125258-125258
Closed Access | Times Cited: 14
Towards domain shifts: Stream fine-tuning via feed-forward fault data generation for on-board aero-engine gas-path diagnosis
Zengbu Liao, Rui Zhang, Hang Zhao, et al.
Measurement (2024) Vol. 237, pp. 115207-115207
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
Accurate four-hour-ahead probabilistic forecast of photovoltaic power generation based on multiple meteorological variables-aided intelligent optimization of numeric weather prediction data
Mingliang Bai, Z. C. Zhou, Yunxiao Chen, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 3, pp. 2741-2766
Closed Access | Times Cited: 6
A Data-Knowledge Hybrid Driven Method for Gas Turbine Gas Path Diagnosis
Jinwei Chen, Zhenchao Hu, Jinzhi Lu, et al.
Applied Sciences (2022) Vol. 12, Iss. 12, pp. 5961-5961
Open Access | Times Cited: 9
Page 1 - Next Page

Scroll to top