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:

Deep Mixed Domain Generalization Network for Intelligent Fault Diagnosis Under Unseen Conditions
Zhenhua Fan, Qifa Xu, Cuixia Jiang, et al.
IEEE Transactions on Industrial Electronics (2023) Vol. 71, Iss. 1, pp. 965-974
Closed Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Domain generalization for cross-domain fault diagnosis: An application-oriented perspective and a benchmark study
Chao Zhao, Enrico Zio, Weiming Shen
Reliability Engineering & System Safety (2024) Vol. 245, pp. 109964-109964
Closed Access | Times Cited: 72

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

A Novel Data Augmentation Method Based on Denoising Diffusion Probabilistic Model for Fault Diagnosis Under Imbalanced Data
Xiongyan Yang, Tianyi Ye, Xianfeng Yuan, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 5, pp. 7820-7831
Closed Access | Times Cited: 20

A domain feature decoupling network for rotating machinery fault diagnosis under unseen operating conditions
Tianyu Gao, Jingli Yang, Wenmin Wang, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110449-110449
Closed Access | Times Cited: 15

Learning to Imbalanced Open Set Generalize: A Meta-Learning Framework for Enhanced Mechanical Diagnosis
Changdong Wang, Shu Zhou, Jingli Yang, et al.
IEEE Transactions on Cybernetics (2025) Vol. 55, Iss. 3, pp. 1464-1475
Closed Access | Times Cited: 1

Support-Sample-Assisted Domain Generalization via Attacks and Defenses: Concepts, Algorithms, and Applications to Pipeline Fault Diagnosis
Chuang Wang, Zidong Wang, Qinyuan Liu, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 4, pp. 6413-6423
Open Access | Times Cited: 7

Single imbalanced domain generalization network for intelligent fault diagnosis of compressors in HVAC systems under unseen working conditions
H. Wang, Jun Lin, Zijun Zhang
Energy and Buildings (2024) Vol. 312, pp. 114192-114192
Closed Access | Times Cited: 5

A Semi-supervised Gaussian Mixture Variational Autoencoder method for few-shot fine-grained fault diagnosis
Zhiqian Zhao, Yeyin Xu, Jiabin Zhang, et al.
Neural Networks (2024) Vol. 178, pp. 106482-106482
Closed Access | Times Cited: 5

Causality-inspired multi-source domain generalization method for intelligent fault diagnosis under unknown operating conditions
Hongbo Ma, Jiacheng Wei, Guowei Zhang, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110439-110439
Closed Access | Times Cited: 5

A Survey of Data Augmentation in Domain Generalization
Yingyi Zhong, Wenan Zhou, Zhixian Wang
Neural Processing Letters (2025) Vol. 57, Iss. 2
Open Access

An information-induced fault diagnosis framework generalizing from stationary to unknown nonstationary working conditions
Jianing Liu, Hongrui Cao, Yang Luo
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109380-109380
Closed Access | Times Cited: 14

A meta-learning method for smart manufacturing: Tool wear prediction using hybrid information under various operating conditions
Xuandong Mo, Xiaofeng Hu, Andong Sun, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 91, pp. 102846-102846
Closed Access | Times Cited: 4

Domain generalization for machine compound fault diagnosis by Domain-Relevant Joint Distribution Alignment
Huayan Pu, Shouwei Teng, Dengyu Xiao, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102771-102771
Closed Access | Times Cited: 4

Dual disentanglement domain generalization method for rotating Machinery fault diagnosis
Guowei Zhang, Xianguang Kong, Hongbo Ma, et al.
Mechanical Systems and Signal Processing (2025) Vol. 228, pp. 112460-112460
Closed Access

Frequency domain guided latent diffusion model for domain generalization in cross-machine fault diagnosis
Xiaolin Liu, Fuzheng Liu, Xiangyi Geng, et al.
Measurement (2025), pp. 116989-116989
Closed Access

An adaptive source-free unsupervised domain adaptation method for mechanical fault detection
Jianing Liu, Hongrui Cao, Jaspreet Singh Dhupia, et al.
Mechanical Systems and Signal Processing (2025) Vol. 228, pp. 112475-112475
Closed Access

A federated distillation domain generalization framework for machinery fault diagnosis with data privacy
Chao Zhao, Weiming Shen
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107765-107765
Closed Access | Times Cited: 12

A progressive multi-source domain adaptation method for bearing fault diagnosis
Xiaorong Zheng, Zhiwei He, Jiahao Nie, et al.
Applied Acoustics (2023) Vol. 216, pp. 109797-109797
Closed Access | Times Cited: 11

Evidential Ensemble Preference-Guided Learning Approach for Real-Time Multimode Fault Diagnosis
Zeyi Liu, Chen Li, Xiao He
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 4, pp. 5495-5504
Closed Access | Times Cited: 10

Domain generalized open-set intelligent fault diagnosis based on feature disentanglement meta-learning
Xiangdong Zhou, Deng Xiao, Zhengwu Liu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 115001-115001
Closed Access | Times Cited: 3

CIS2N: Causal independence and sparse shift network for rotating machinery fault diagnosis in unseen domains
Chang Guo, Zuogang Shang, Jiaxin Ren, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110381-110381
Closed Access | Times Cited: 3

Domain-augmented meta ensemble learning for mechanical fault diagnosis from heterogeneous source domains to unseen target domains
Yiming Xiao, Haidong Shao, Jie Wang, et al.
Expert Systems with Applications (2024), pp. 125345-125345
Closed Access | Times Cited: 3

An Adversarial Single-Domain Generalization Network for Fault Diagnosis of Wind Turbine Gearboxes
Xinran Wang, Chenyong Wang, Hanlin Liu, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 12, pp. 2384-2384
Open Access | Times Cited: 9

Novel Triplet Loss-Based Domain Generalization Network for Bearing Fault Diagnosis with Unseen Load Condition
Bingbing Shen, Min Zhang, Le Yao, et al.
Processes (2024) Vol. 12, Iss. 5, pp. 882-882
Open Access | Times Cited: 2

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