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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:

Few-shot fault diagnosis of turnout switch machine based on semi-supervised weighted prototypical network
Zhenpeng Lao, Deqiang He, Zhenzhen Jin, et al.
Knowledge-Based Systems (2023) Vol. 274, pp. 110634-110634
Closed Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Temporal multi-resolution hypergraph attention network for remaining useful life prediction of rolling bearings
Jinxin Wu, Deqiang He, Jiayi Li, et al.
Reliability Engineering & System Safety (2024) Vol. 247, pp. 110143-110143
Closed Access | Times Cited: 29
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
SSPENet: Semi-supervised prototype enhancement network for rolling bearing fault diagnosis under limited labeled samples
Xuejian Yao, Xingchi Lu, Quan Jiang, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102560-102560
Closed Access | Times Cited: 11
Learning spatial–temporal pairwise and high-order relationships for short-term passenger flow prediction in urban rail transit
Jinxin Wu, Deqiang He, Zhenzhen Jin, et al.
Expert Systems with Applications (2024) Vol. 245, pp. 123091-123091
Closed Access | Times Cited: 8
The parameter identification of metro rail corrugation based on effective signal extraction and inertial reference method
Haimeng Sun, Deqiang He, Hailong Ma, et al.
Engineering Failure Analysis (2024) Vol. 158, pp. 108043-108043
Closed Access | Times Cited: 8
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
A novel meta-learning network with adversarial domain-adaptation and attention mechanism for cross-domain for train bearing fault diagnosis
Hao Zhong, Deqiang He, Zexian Wei, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 125109-125109
Closed Access | Times Cited: 5
Unlocking the power of knowledge for few-shot fault diagnosis: A review from a knowledge perspective
Pei Ling Lai, Fan Zhang, Tianrui Li, et al.
Information Sciences (2025), pp. 121996-121996
Closed Access
Adversarial domain adaptation network with MixMatch for incipient fault diagnosis of PMSM under multiple working conditions
Xia Peng, Tao Peng, Chao Yang, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111331-111331
Closed Access | Times Cited: 13
Improved metric-based meta learning with attention mechanism for few-shot cross-domain train bearing fault diagnosis
Hao Zhong, Deqiang He, Zhenpeng Lao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 075101-075101
Closed Access | Times Cited: 4
A train bearing imbalanced fault diagnosis method based on extended CCR and multi-scale feature fusion network
Changfu He, Deqiang He, Zexian Wei, et al.
Nonlinear Dynamics (2024) Vol. 112, Iss. 15, pp. 13147-13173
Closed Access | Times Cited: 4
Few-shot fault diagnosis of switch machine based on data fusion and balanced regularized prototypical network
Zhenpeng Lao, Deqiang He, Haimeng Sun, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108847-108847
Closed Access | Times Cited: 4
A novel dimensional variational prototypical network for industrial few-shot fault diagnosis with unseen faults
Chuang Peng, Lei Chen, Kuangrong Hao, et al.
Computers in Industry (2024) Vol. 162, pp. 104133-104133
Closed Access | Times Cited: 4
Cross-sensor contrastive learning-based pre-training for machinery fault diagnosis under sample-limited conditions
Hao Hu, Yue Ma, Ruoxue Li, et al.
Knowledge-Based Systems (2025), pp. 113075-113075
Closed Access
SCG-DETR: a high-precision railway turnout defect detection method based on attention feature fusion and SMP-CGLU approach
Md Al Amin, Chenghai Yu
Multimedia Systems (2025) Vol. 31, Iss. 1
Closed Access
A novel multiple-prototype and domain adversarial network for few-shot cross-domain fault diagnosis
Peiming Shi, Siyang Dai, Xuefang Xu, et al.
Measurement Science and Technology (2025) Vol. 36, Iss. 3, pp. 036134-036134
Closed Access
Few-shot learning fault diagnosis of rolling bearings based on siamese network
Xiaoyang Zheng, Zhixia Feng, Zijian Lei, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 095018-095018
Closed Access | Times Cited: 3
Few-shot fault diagnosis of turnout switch machine based on flexible semi-supervised meta-learning network
Yiling He, Deqiang He, Zhenpeng Lao, et al.
Knowledge-Based Systems (2024) Vol. 294, pp. 111746-111746
Closed Access | Times Cited: 3
Multiscale Residual Antinoise Network via Interpretable Dynamic Recalibration Mechanism for Rolling Bearing Fault Diagnosis With Few Samples
Bin Liu, Changfeng Yan, Yaofeng Liu, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 24, pp. 31425-31439
Closed Access | Times Cited: 7
Hierarchical Grey Wolf Optimizer-Tuned Flexible Residual Neural Network with Parallel Attention Module for Bearing Fault Diagnosis
Chuang Chen, Xianfeng Li, Jiantao Shi
IEEE Sensors Journal (2024) Vol. 24, Iss. 12, pp. 19626-19635
Closed Access | Times Cited: 2
Fault Diagnosis Scheme for Railway Switch Machine Using Multi-Sensor Fusion Tensor Machine
Chen Chen, Zhongwei Xu, Meng Mei, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 3, pp. 4533-4549
Open Access | Times Cited: 2
Surface defect detection of stay cable sheath based on autoencoder and auxiliary anomaly location
Qi Liu, Deqiang He, Yixin Shen, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102759-102759
Closed Access | Times Cited: 2
Few-shot intelligent fault diagnosis based on an improved meta-relation network
Xiaoqing Zheng, Changyuan Yue, Wei Jiang, et al.
Applied Intelligence (2023) Vol. 53, Iss. 24, pp. 30080-30096
Closed Access | Times Cited: 6
DTST: A Dual-Aspect Time Series Transformer Model for Fault Diagnosis of Space Power System
Zhiqiang Xu, M. Du, Yujie Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access | Times Cited: 1
Railway Accident Causation Prediction with Improved Transformer Model Based on Lexical Information and Contextual Relationships
Bin Jiang, Keming Wang
Knowledge-Based Systems (2024) Vol. 296, pp. 111897-111897
Closed Access | Times Cited: 1
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