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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:

Fault diagnosis of mechanical equipment in high energy consumption industries in China: A review
Yongjian Sun, Jian Wang, Xiaohong Wang
Mechanical Systems and Signal Processing (2022) Vol. 186, pp. 109833-109833
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Rolling bearing fault diagnosis method based on improved residual shrinkage network
Linjun Wang, Tengxiao Zou, Kanglin Cai, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2024) Vol. 46, Iss. 3
Closed Access | Times Cited: 25
An information fusion-based meta transfer learning method for few-shot fault diagnosis under varying operating conditions
Cuiying Lin, Yun Kong, Qinkai Han, et al.
Mechanical Systems and Signal Processing (2024) Vol. 220, pp. 111652-111652
Closed Access | Times Cited: 17
IDSN: A one-stage interpretable and differentiable STFT domain adaptation network for traction motor of high-speed trains cross-machine diagnosis
Chao He, Hongmei Shi, Jianbo Li
Mechanical Systems and Signal Processing (2023) Vol. 205, pp. 110846-110846
Closed Access | Times Cited: 27
CFI-LFENet: Infusing cross-domain fusion image and lightweight feature enhanced network for fault diagnosis
Chao Lian, Yuliang Zhao, Jinliang Shao, et al.
Information Fusion (2023) Vol. 104, pp. 102162-102162
Closed Access | Times Cited: 19
A new fault feature extraction method of rolling bearings based on the improved self-selection ICEEMDAN-permutation entropy
Maohua Xiao, Zhenyu Wang, Yuanfang Zhao, et al.
ISA Transactions (2023) Vol. 143, pp. 536-547
Closed Access | Times Cited: 17
Advanced Bearing-Fault Diagnosis and Classification Using Mel-Scalograms and FOX-Optimized ANN
Muhammad Siddique, Wasim Zaman, Saif Ullah, et al.
Sensors (2024) Vol. 24, Iss. 22, pp. 7303-7303
Open Access | Times Cited: 6
Rolling Bearing RUL Prediction Based on Fusion of Multi-Head Attention and Improved TCN-BiLSTM
Guo Yuan, Jun Zhou, Zhenbiao Dong, et al.
IEEE Access (2024) Vol. 12, pp. 95641-95658
Open Access | Times Cited: 5
A comprehensive review of deep learning-based fault diagnosis approaches for rolling bearings: Advancements and challenges
Jingxin ZHAO, Wenming Wang, Ji Huang, et al.
AIP Advances (2025) Vol. 15, Iss. 2
Open Access
Triplet adversarial Learning-driven graph architecture search network augmented with Probsparse-attention mechanism for fault diagnosis under Few-shot & Domain-shift
Yuanhong Chang, Jinglong Chen, Weiguang Zheng, et al.
Mechanical Systems and Signal Processing (2023) Vol. 199, pp. 110462-110462
Closed Access | Times Cited: 13
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
Real-time damage detection network for mine conveyor belts based on knowledge distillation
Tao Wu, Huaping Zhou, Kelei Sun
Measurement (2025), pp. 116976-116976
Closed Access
Omnidirectional sound wave absorption based on the multi-oriented acoustic meta-materials
Xiaotian Bai, Zhaoyang Xiao, Huaitao Shi, et al.
Applied Acoustics (2024) Vol. 228, pp. 110344-110344
Closed Access | Times Cited: 3
Pseudo-label assisted semi-supervised adversarial enhancement learning for fault diagnosis of gearbox degradation with limited data
Xin Chen, Zaigang Chen, Liang Guo, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112108-112108
Closed Access | Times Cited: 3
A Rotating Machinery Fault Diagnosis Method Based on Multi-Sensor Fusion and ECA-CNN
Hongxing Wang, Hua Zhu, Huafeng Li
IEEE Access (2023) Vol. 11, pp. 106443-106455
Open Access | Times Cited: 9
Novel imbalanced subdomain adaption multiscale convolutional network for cross-domain unsupervised fault diagnosis of rolling bearings
Tianlong Huo, Linfeng Deng, Bo Zhang, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 015905-015905
Closed Access | Times Cited: 9
DECVAE: Data augmentation via conditional variational auto-encoder with distribution enhancement for few-shot fault diagnosis of mechanical system
Yikun Liu, Song Fu, Lin Lin, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 046104-046104
Closed Access | Times Cited: 3
An ensemble Swin-LE model with residuals for rolling bearing fault diagnosis
Xiaoyi Zhang, Lijun Li, Hui Shi, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2024) Vol. 46, Iss. 4
Closed Access | Times Cited: 3
Novel Adversarial Unsupervised Subdomain Adaption Multi-Channel Deep Convolutional Network for Cross-Operating Fault Diagnosis of Rolling Bearings
B. Zhang, Tianlong Huo, Zheng Liu, et al.
IEEE Access (2024) Vol. 12, pp. 42068-42082
Open Access | Times Cited: 3
MBRB: Micro-belief rule Base model based on cautious conjunctive rule for interpretable fault diagnosis
Chunchao Zhang, Zhijie Zhou, Pengyun Ning, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108598-108598
Closed Access | Times Cited: 3
Improving the Performance of Convolutional GAN Using History-State Ensemble for Unsupervised Early Fault Detection with Acoustic Emission Signals
Yu Wang, Alexey Vinogradov
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 3136-3136
Open Access | Times Cited: 7
A state of the art in digital twin for intelligent fault diagnosis
Changhua Hu, Zeming Zhang, Chuanyang Li, et al.
Advanced Engineering Informatics (2024) Vol. 63, pp. 102963-102963
Closed Access | Times Cited: 2
Multi-Mode Data Generation and Fault Diagnosis of Bearings Based on STFT-SACGAN
Hongxing Wang, Hua Zhu, Huafeng Li
Electronics (2023) Vol. 12, Iss. 8, pp. 1910-1910
Open Access | Times Cited: 6
Soft fault diagnosis in linear circuits: Test selection and non-iterative identification procedure
Stanisław Hałgas
Measurement (2023) Vol. 217, pp. 113061-113061
Open Access | Times Cited: 5
Deep Learning-Driven Anomaly Detection for Green IoT Edge Networks
Ahmad Shahnejat Bushehri, Ashkan Amirnia, Adel Belkhiri, et al.
IEEE Transactions on Green Communications and Networking (2023) Vol. 8, Iss. 1, pp. 498-513
Open Access | Times Cited: 5
Self-Matching Chirplet Extraction Transform: A Novel Tool for Dense Multicomponent Signals Analysis and Machinery Fault Diagnosis
Hongan Wu, Yong Lv, Rui Yuan, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 10904-10919
Closed Access | Times Cited: 1
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