Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Rolling mill health states diagnosing method based on multi-sensor information fusion and improved DBNs under limited datasets
Yue Yu, Peiming Shi, Jinghui Tian, et al.
ISA Transactions (2022) Vol. 134, pp. 529-547
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

A review on physics-informed data-driven remaining useful life prediction: Challenges and opportunities
Huiqin Li, Zhengxin Zhang, Tianmei Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 209, pp. 111120-111120
Closed Access | Times Cited: 65
Deep learning-based open set multi-source domain adaptation with complementary transferability metric for mechanical fault diagnosis
Jinghui Tian, Dongying Han, Hamid Reza Karimi, et al.
Neural Networks (2023) Vol. 162, pp. 69-82
Closed Access | Times Cited: 40
A new multi-source information domain adaption network based on domain attributes and features transfer for cross-domain fault diagnosis
Yue Yu, Hamid Reza Karimi, Peiming Shi, et al.
Mechanical Systems and Signal Processing (2024) Vol. 211, pp. 111194-111194
Open Access | Times Cited: 20
A two-stage importance-aware subgraph convolutional network based on multi-source sensors for cross-domain fault diagnosis
Yue Yu, Youqian He, Hamid Reza Karimi, et al.
Neural Networks (2024) Vol. 179, pp. 106518-106518
Open Access | Times Cited: 18
Domain adaptation meta-learning network with discard-supplement module for few-shot cross-domain rotating machinery fault diagnosis
Yu Zhang, Dongying Han, Jinghui Tian, et al.
Knowledge-Based Systems (2023) Vol. 268, pp. 110484-110484
Closed Access | Times Cited: 28
A Novel Hierarchical Vision Transformer and Wavelet Time–Frequency Based on Multi-Source Information Fusion for Intelligent Fault Diagnosis
Changfen Gong, Rongrong Peng
Sensors (2024) Vol. 24, Iss. 6, pp. 1799-1799
Open Access | Times Cited: 6
Multi-source domain adaptive network based on local kernelized higher-order moment matching for rotating machinery fault diagnosis
Ying Zhang, Jingjing Fan, Zong Meng, et al.
ISA Transactions (2024) Vol. 150, pp. 311-321
Closed Access | Times Cited: 5
Damped weighted erasable itemset mining with time sensitive dynamic environments
Hanju Kim, Myungha Cho, Seungwan Park, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
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
Multi-source information fusion meta-learning network with convolutional block attention module for bearing fault diagnosis under limited dataset
Shanshan Song, Shuqing Zhang, Wei Dong, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 2, pp. 818-835
Closed Access | Times Cited: 15
MSIFT: A novel end-to-end mechanical fault diagnosis framework under limited & imbalanced data using multi-source information fusion
Yue Yu, Hamid Reza Karimi, Len Gelman, et al.
Expert Systems with Applications (2025), pp. 126947-126947
Open Access
A novel data fusion based intelligent identification approach for working cycle stages of hydraulic excavators
Haoju Song, Guiqin Li, Xin Xiong, et al.
ISA Transactions (2024) Vol. 148, pp. 78-91
Closed Access | Times Cited: 3
Research on Optimal Preload Method of Controllable Rolling Bearing Based on Multisensor Fusion
Jianglong Li, Chengrui Han, Yasheng Chang
Computer Modeling in Engineering & Sciences (2024) Vol. 139, Iss. 3, pp. 3329-3352
Open Access | Times Cited: 1
Weighted multi-source information fusion network-based framework for mechanical fault diagnosis
Shanshan Song, Shuqing Zhang, Xiang Wu
(2024) Vol. 49, pp. 168-168
Closed Access | Times Cited: 1
Improved GNN based on Graph-Transformer: A new framework for rolling mill bearing fault diagnosis
Dongxiao Hou, Bo Zhang, Jiahui Chen, et al.
Transactions of the Institute of Measurement and Control (2024)
Closed Access | Times Cited: 1
Expert Experience and Data-Driven Based Hybrid Fault Diagnosis for High-Speed Wire Rod Finishing Mills
Cunsong Wang, Ningze Tang, Quanling Zhang, et al.
Computer Modeling in Engineering & Sciences (2023) Vol. 138, Iss. 2, pp. 1827-1847
Open Access | Times Cited: 3
Modelling of Axial Thrust Force Considering 3d Rolling Deformation
Shuilin Lin, Qinghua Song, Chao Ma, et al.
(2024)
Closed Access
Multi-source Heterogeneous Information Fusion Prototype Network Based on Compact-Sparse Representation for Rotating Machinery Few-Shot Fault Diagnosis
Yu Zhang, Dongying Han, Peiming Shi
Mechanisms and machine science (2024), pp. 1183-1195
Closed Access
Effective machine lifespan management using determined state–action cost estimation for multi-dimensional cost function optimization
Amirhossein Hosseinzadeh Dadash, Niclas Björsell
Production & Manufacturing Research (2024) Vol. 12, Iss. 1
Open Access
A Multi-source Sensors Framework for Mechanical Fault Diagnosis Under Strong Noise
Yue Yu, Hamid Reza Karimi, Youqian He
Mechanisms and machine science (2024), pp. 225-232
Closed Access
Weighted Feature Fusion of Convolutional Neural Network and Graph Convolutional Network for Mechanical Fault Diagnosis under Time-varying Speeds
Yue Yu, Hamid Reza Karimi, Caiyi Liu
IFAC-PapersOnLine (2024) Vol. 58, Iss. 4, pp. 729-733
Open Access
Fault Intelligent Diagnosis for Distribution Box in Hot Rolling Based on Depthwise Separable Convolution and Bi-LSTM
Yonglin Guo, Di Zhou, Huimin Chen, et al.
Processes (2024) Vol. 12, Iss. 9, pp. 1999-1999
Open Access
Multi-view graph convolutional networks based on multi-source information fusion for mechanical fault diagnosis
Shanshan Song, Shuqing Zhang, Xiang Wu
Structural Health Monitoring (2024)
Closed Access
Modelling and industrial experiment on the dynamic deviation of rolling force during high precision rolling process
Shanshan Chen, Chundong Liu, Shuilin Lin
Alexandria Engineering Journal (2024) Vol. 110, pp. 37-52
Open Access
Multi-Representation Domain Adaptation Network with Duplex Adversarial Learning for Hot-Rolling Mill Fault Diagnosis
Rongrong Peng, Xingzhong Zhang, Peiming Shi
Entropy (2022) Vol. 25, Iss. 1, pp. 83-83
Open Access | Times Cited: 2
Page 1 - Next Page

Scroll to top