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:

A systematic literature review of deep learning for vibration-based fault diagnosis of critical rotating machinery: Limitations and challenges
Omri Matania, Itai Dattner, Jacob Bortman, et al.
Journal of Sound and Vibration (2024) Vol. 590, pp. 118562-118562
Closed Access | Times Cited: 15

Showing 15 citing articles:

An adaptive fault diagnosis method for rotating machinery based on GCN deep feature extraction and OptGBM
Linjun Wang, Zhenxiong Wu, Haihua Wu, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2025) Vol. 47, Iss. 2
Closed Access

Few-shot learning for estimating gear wear severity towards digital twinning
Roee Cohen, Lior Bachar, Jacob Bortman
Engineering Failure Analysis (2025), pp. 109330-109330
Open Access

Fault Diagnosis of Hydro-Turbine Based on CEEMDAN-MPE Preprocessing Combined with CPO-BILSTM Modelling
Naihua Duan, Yun Zeng, Fang Dao, et al.
Energies (2025) Vol. 18, Iss. 6, pp. 1342-1342
Open Access

An interpretable deep feature aggregation framework for machinery incremental fault diagnosis
Kui Hu, Qian Chen, Jintao Yao, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103189-103189
Closed Access

Overview: Application Status and Prospects of Digital Twin Technology in Mechanical Cutting Processing
Xin Li, Gao Hanjun, Chen Xioman, et al.
Journal of Industrial Information Integration (2025), pp. 100822-100822
Closed Access

A Three-Channel Feature Fusion Approach Using Symmetric ResNet-BiLSTM Model for Bearing Fault Diagnosis
Yingyong Zou, Tao Liu, Xingkui Zhang
Symmetry (2025) Vol. 17, Iss. 3, pp. 427-427
Open Access

Review of empowering computer-aided engineering with artificial intelligence
Xuwen Zhao, Xingyu Tong, Fangwei Ning, et al.
Advances in Manufacturing (2025)
Open Access

Inverse-time protection method of pumped-storage unit vibration
Fei Zhang, Song Xuguo, Zhong Dalin, et al.
Results in Engineering (2024) Vol. 23, pp. 102486-102486
Open Access | Times Cited: 2

Recursive prototypical network with coordinate attention: A model for few-shot cross-condition bearing fault diagnosis
Yonghua Jiang, Zengjie Qiu, Linjie Zheng, et al.
Applied Acoustics (2024) Vol. 231, pp. 110442-110442
Closed Access | Times Cited: 2

LLM-based framework for bearing fault diagnosis
Laifa Tao, Haifei Liu, Guoao Ning, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112127-112127
Closed Access | Times Cited: 1

A Hierarchical Matrix Factorization-Based Method for Intelligent Industrial Fault Diagnosis
Yanxia Li, Han Zhou, Jiajia Liu, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5408-5408
Open Access

An adaptive fault diagnosis method for rotating machinery based on GCN deep feature extraction and OptGB
Linjun Wang, Zhenxiong Wu, Haihua Wu, et al.
Research Square (Research Square) (2024)
Open Access

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