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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 1-25 of 44 citing articles:

Density-Based Affinity Propagation Tensor Clustering for Intelligent Fault Diagnosis of Train Bogie Bearing
Zexian Wei, Deqiang He, Zhenzhen Jin, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 6, pp. 6053-6064
Closed Access | Times Cited: 63
Semisupervised Subdomain Adaptation Graph Convolutional Network for Fault Transfer Diagnosis of Rotating Machinery Under Time-Varying Speeds
Pengfei Liang, Leitao Xu, Hanqin Shuai, et al.
IEEE/ASME Transactions on Mechatronics (2023) Vol. 29, Iss. 1, pp. 730-741
Closed Access | Times Cited: 47
Deep transfer learning strategy in intelligent fault diagnosis of rotating machinery
Shengnan Tang, Jingtao Ma, Zhengqi Yan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 134, pp. 108678-108678
Closed Access | Times Cited: 30
Cross-machine deep subdomain adaptation network for wind turbines fault diagnosis
Jiayang Liu, Liang Wan, Fuqi Xie, et al.
Mechanical Systems and Signal Processing (2024) Vol. 210, pp. 111151-111151
Closed Access | Times Cited: 17
A new adaptive multi-scale attention adversarial network for cross-domain fault diagnosis
Lingtan Kong, Jinrui Wang, Dawei Wang, et al.
Knowledge-Based Systems (2025), pp. 113066-113066
Closed Access | Times Cited: 1
Unsupervised fault diagnosis of wind turbine bearing via a deep residual deformable convolution network based on subdomain adaptation under time-varying speeds
Pengfei Liang, Bin Wang, Guoqian Jiang, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 118, pp. 105656-105656
Closed Access | Times Cited: 56
A comprehensive survey of sparse regularization: Fundamental, state-of-the-art methodologies and applications on fault diagnosis
Qing Li
Expert Systems with Applications (2023) Vol. 229, pp. 120517-120517
Open Access | Times Cited: 30
Attention guided multi-wavelet adversarial network for cross domain fault diagnosis
Jinrui Wang, Xuepeng Zhang, Zongzhen Zhang, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111285-111285
Closed Access | Times Cited: 28
Performance degradation assessment of rolling bearing cage failure based on enhanced CycleGAN
Caizi Fan, Pengfei Wang, Hui Ma, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124697-124697
Closed Access | Times Cited: 8
A novel Brownian correlation metric prototypical network for rotating machinery fault diagnosis with few and zero shot learners
Jingli Yang, Changdong Wang, Changan Wei
Advanced Engineering Informatics (2022) Vol. 54, pp. 101815-101815
Closed Access | Times Cited: 30
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
Double-level discriminative domain adaptation network for cross-domain fault diagnosis
Yufeng Li, Xinghan Xu, Lei Hu, et al.
Applied Intelligence (2025) Vol. 55, Iss. 5
Closed Access
Accuracy Evaluation Method for Blade Vibration Measurement in Blade Tip Timing Based on Direct Calibration Using Time of Arrival
Qi Zhou, Guangyue Niu, Meiru Liu, et al.
Sensors (2025) Vol. 25, Iss. 7, pp. 1956-1956
Open Access
A novel hierarchical training architecture for Siamese Neural Network based fault diagnosis method under small sample
Juanru Zhao, Yuan Mei, Jin Cui, et al.
Measurement (2023) Vol. 215, pp. 112851-112851
Closed Access | Times Cited: 14
Deep feature interactive network for machinery fault diagnosis using multi-source heterogeneous data
Mengqi Miao, Jianbo Yu
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109795-109795
Closed Access | Times Cited: 14
A centroid contrastive multi-source domain adaptation method for fault diagnosis with category shift
Yufeng Li, Xinghan Xu, Lei Hu, et al.
Measurement (2025), pp. 116801-116801
Closed Access
Research of turbine rotor fault diagnosis based on improved auxiliary classification generative adversarial network
Qinglei Zhang, Xinwei Lian, Jiyun Qin, et al.
Measurement (2025), pp. 116991-116991
Closed Access
Dynamic simulation based on feature transfer learning with source domain adaptive optimization: Application of data-driven model for aero-engines
Xingyun Jia, Dengji Zhou, Jiarui Hao, et al.
Measurement (2023) Vol. 223, pp. 113786-113786
Closed Access | Times Cited: 10
Fault severity recognition in axial piston pumps using attention-based adversarial discriminative domain adaptation neural network
Yuechen Shao, Qun Chao, Pengcheng Xia, et al.
Physica Scripta (2024) Vol. 99, Iss. 5, pp. 056009-056009
Closed Access | Times Cited: 3
A multi-model data-fusion based deep transfer learning for improved remaining useful life estimation for IIOT based systems
Sourajit Behera, Rajiv Misra
Engineering Applications of Artificial Intelligence (2022) Vol. 119, pp. 105712-105712
Closed Access | Times Cited: 17
An attention enhanced dilated CNN approach for cross-axis industrial robotics fault diagnosis
Yuxin Liu, Chong Chen, Tao Wang, et al.
Autonomous Intelligent Systems (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 16
A global and joint knowledge distillation method with gradient-modulated dynamic parameter adaption for EMU bogie bearing fault diagnosis
Tongyang Pan, Tiantian Wang, Jinglong Chen, et al.
Measurement (2024) Vol. 235, pp. 114927-114927
Closed Access | Times Cited: 3
Selective and Adaptive Incremental Transfer Learning with Multiple Datasets for Machine Fault Diagnosis
Kwok Tai Chui, Brij B. Gupta, Varsha Arya, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 78, Iss. 1, pp. 1363-1379
Open Access | Times Cited: 2
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
Parallel Convolutional Transfer Network for Bearing Fault Diagnosis Under Varying Operation States
Rui Yao, Huimin Zhao, Zhen Zhao, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-13
Closed Access | Times Cited: 2
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