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 bearing fault diagnosis method using time-frequency information integration and multi-scale TransFusion network
Zekun Wang, Zifei Xu, Chang Cai, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111344-111344
Closed Access | Times Cited: 15

Showing 15 citing articles:

Data-Free Stealing Attack and Defense Strategy for Industrial Fault Diagnosis System
Tianye Jia, Ying Tian, Zhong Yin, et al.
Process Safety and Environmental Protection (2025) Vol. 216, pp. 200-215
Closed Access | Times Cited: 1
Adaptive Convergent Visibility Graph Network: An interpretable method for intelligent rolling bearing diagnosis
Xinming Li, Yanxue Wang, Shuangchen Zhao, et al.
Mechanical Systems and Signal Processing (2024) Vol. 222, pp. 111761-111761
Closed Access | Times Cited: 7
Twins Transformer: Rolling Bearing Fault Diagnosis based on Cross-attention Fusion of Time and Frequency Domain Features
Zhikang Gao, Yanxue Wang, Xinming Li, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096113-096113
Closed Access | Times Cited: 6
A frequency channel-attention based vision Transformer method for bearing fault identification across different working conditions
Ling Xiang, Hankun Bing, Xianze Li, et al.
Expert Systems with Applications (2024) Vol. 262, pp. 125686-125686
Closed Access | Times Cited: 5
Research on Fault Diagnosis of Ship Propulsion System Based on Improved Residual Network
Wei Yuan, Julong Chen, Xingji Yu
Journal of Marine Science and Engineering (2025) Vol. 13, Iss. 1, pp. 70-70
Open Access
A robust bearing fault diagnosis method based on ensemble learning with adaptive weight selection
Guanghua Fu, X.Z. Wang, Yonghui Liu, et al.
Expert Systems with Applications (2025) Vol. 269, pp. 126420-126420
Closed Access
Displacement reconstruction with frequency domain-invariant representation for enhancing track damage identification
Shaohua Wang, Hu Meng, Lihua Tang, et al.
Engineering Structures (2025) Vol. 328, pp. 119693-119693
Open Access
Graph Optimization Algorithm Enhanced by Dual-Scale Spectral Features with Contrastive Learning for Robust Bearing Fault Diagnosis
Ying Li, Xiaoping Liu, Junhui Hu, et al.
Knowledge-Based Systems (2025), pp. 113275-113275
Closed Access
A new fault diagnosis method for reciprocating piston pump based on feature fusion of CNN and transformer encoder
Yuehua Lai, Ran Li, Zhuang Ye, et al.
Science Progress (2025) Vol. 108, Iss. 2
Open Access
AMCW-DFFNSA: An interpretable deep feature fusion network for noise-robust machinery fault diagnosis
Yan Han, Sipeng Lv, Qingqing Huang, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112361-112361
Closed Access | Times Cited: 3
FS-PTL: A unified few-shot partial transfer learning framework for partial cross-domain fault diagnosis under limited data scenarios
Liu Cheng, Haochen Qi, Rongcai Ma, et al.
Knowledge-Based Systems (2024), pp. 112658-112658
Closed Access | Times Cited: 3
Evaluation of Hand-Crafted Feature Extraction for Fault Diagnosis in Rotating Machinery: A Survey
René–Vinicio Sánchez, Jean-Carlo Macancela, Luis-Renato Ortega, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5400-5400
Open Access | Times Cited: 2
Synergistic TransGCN for Aeroengine Bearing Skidding Diagnosis Under Time-Varying Conditions
Leiming Ma, Bin Jiang, Ningyun Lu, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 12, pp. 13936-13946
Closed Access | Times Cited: 1
Failure Mode Classification for Rolling Element Bearings Using Time-Domain Transformer-Based Encoder
Vu Tri Minh, Motoaki Hiraga, Nanako MIURA, et al.
Sensors (2024) Vol. 24, Iss. 12, pp. 3953-3953
Open Access
Diagnosis of incipient faults in wind turbine bearings based on ICEEMDAN–IMCKD
Yanjun Li, DJ Han
International journal of mechanical system dynamics (2024)
Open Access
Page 1

Scroll to top