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:

The LST-SATM-net: A new deep feature learning framework for aero-engine hydraulic pipeline systems intelligent faults diagnosis
Tongguang Yang, Guanchen Li, Shenyou Yuan, et al.
Applied Acoustics (2023) Vol. 210, pp. 109436-109436
Closed Access | Times Cited: 20

Showing 20 citing articles:

Fault diagnosis study of hydraulic pump based on improved symplectic geometry reconstruction data enhancement method
Siyuan Liu, Jixiong Yin, Ming Hao, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102459-102459
Closed Access | Times Cited: 19
A novel retaining clip for vibration reduction of fluid-conveying pipes by piecewise constraints
Bo Dou, Meng Li, Hu Ding
Mechanical Systems and Signal Processing (2024) Vol. 210, pp. 111159-111159
Closed Access | Times Cited: 8
LSTA-Net framework: Pioneering intelligent diagnostics for insulating bearings under real-world complex operational conditions and its interpretability
Tongguang Yang, Guanchen Li, Yicheng Duan, et al.
Mechanical Systems and Signal Processing (2024) Vol. 222, pp. 111779-111779
Closed Access | Times Cited: 7
DCSIAN: A novel deep cross-scale interactive attention network for fault diagnosis of aviation hydraulic pumps and generalizable applications
Song Fu, Limin Zou, Yue Wang, et al.
Reliability Engineering & System Safety (2024) Vol. 249, pp. 110246-110246
Closed Access | Times Cited: 5
LTFM-net framework: Advanced intelligent diagnostics and interpretability of insulated bearing faults in offshore wind turbines under complex operational conditions
Tongguang Yang, Lingli Jiang, Yufei Guo, et al.
Ocean Engineering (2024) Vol. 309, pp. 118533-118533
Closed Access | Times Cited: 5
A high-performance rolling bearing fault diagnosis method based on adaptive feature mode decomposition and Transformer
Jiajia Lv, Qiyang Xiao, Xiaodong Zhai, et al.
Applied Acoustics (2024) Vol. 224, pp. 110156-110156
Closed Access | Times Cited: 5
Fault identification of aero-engine central rod-fastened rotor system based on multi-source information fusion and graph convolutional network
Tong Liu, Yufan Zhang, Gancai Huang, et al.
Structural Health Monitoring (2025)
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
Aero-Engine Borescope Image Defect Detection Algorithm Using Symmetric Feature Extraction and State Space Model
Huinan Zhang, Fangmin Hu, Tao Xie
Symmetry (2025) Vol. 17, Iss. 3, pp. 384-384
Open Access
The BT-SAM-Net: a new framework of end-to-end periodic time-series fault diagnosis for aero-pipelines systems
Tongguang Yang, Zhonghua Dang, Yicheng Duan, et al.
Physica Scripta (2024) Vol. 99, Iss. 7, pp. 076004-076004
Open Access | Times Cited: 3
The TSM-net: a new strategy for insulated bearings intelligent faults diagnosis
Tongguang Yang, Shubiao Zhao, Zhang Jun-an, et al.
Physica Scripta (2023) Vol. 98, Iss. 12, pp. 126008-126008
Closed Access | Times Cited: 7
Multiscale Dynamically Parallel Shrinkage Network for Fault Diagnosis of Aviation Hydraulic Pump and Its Generalizable Applications
Song Fu, Lin Lin, Yue Wang, et al.
ISA Transactions (2024) Vol. 154, pp. 57-72
Closed Access | Times Cited: 2
RTCA-Net: A New Framework for Monitoring the Wear Condition of Aero Bearing with a Residual Temporal Network under Special Working Conditions and Its Interpretability
Tongguang Yang, Xingyuan Huang, Yongjian Zhang, et al.
Mathematics (2024) Vol. 12, Iss. 17, pp. 2687-2687
Open Access | Times Cited: 1
Small Sample Fault Diagnosis Based on Intrinsic Characteristic Encouraged Network for Unmanned Aerial Vehicle Sensors
Jia Song, Wu Bingyang, Chaoyue Zhao, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-14
Closed Access | Times Cited: 1
Deep learning-empowered moving cascaded acoustic holography for high-fidelity and high-capacity acoustic holographic reconstruction
Qin Lin, Pan Ke Wang, Feiyan Cai, et al.
Applied Acoustics (2023) Vol. 216, pp. 109768-109768
Closed Access | Times Cited: 4
A priori information-guided generative adversarial network for data augmentation: application to pipeline fault diagnosis
Chuang Guan, Rou Shang, Fan Yang, et al.
Systems Science & Control Engineering (2024) Vol. 12, Iss. 1
Open Access
Bi-TAM-Net framework: Fault diagnosis for insulated bearing based on new noise-resistant time-series framework
Xingyuan Huang, Tongguang Yang, Dianjun Yang, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016112-016112
Closed Access
The STAP-Net: A new health perception and prediction framework for bearing-rotor systems under special working conditions
Tongguang Yang, Dazhong Wu, Shizheng Qiu, et al.
Reliability Engineering & System Safety (2024) Vol. 254, pp. 110633-110633
Closed Access
Aero-Engine Fault Detection with an LSTM Auto-Encoder Combined with a Self-Attention Mechanism
Wenyou Du, Jingyi Zhang, Guanglei Meng, et al.
Machines (2024) Vol. 12, Iss. 12, pp. 879-879
Open Access
Deep Conv-LSTM Network for Arrhythmia Detection using ECG Data
Alisher Mukhametkaly, Zeinel Momynkulov, Nurgul Kurmanbekkyzy, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 9
Open Access | Times Cited: 1
Fault Diagnosis of Landing Gear Expert System Based on Neural Network
Zeyang Xi, Fangyi Wan, Zhenyu Liang, et al.
(2023), pp. 1-6
Closed Access
Page 1

Scroll to top