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:

An efficient lightweight neural network using BiLSTM-SCN-CBAM with PCA-ICEEMDAN for diagnosing rolling bearing faults
You Keshun, Guangqi Qiu, Yingkui Gu
Measurement Science and Technology (2023) Vol. 34, Iss. 9, pp. 094001-094001
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Remaining useful life prediction of lithium-ion batteries using EM-PF-SSA-SVR with gamma stochastic process
You Keshun, Guangqi Qiu, Yingkui Gu
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 015015-015015
Closed Access | Times Cited: 58
A literature review of fault diagnosis based on ensemble learning
Zhibao Mian, Xiaofei Deng, Xiaohui Dong, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107357-107357
Open Access | Times Cited: 46
Optimizing prior distribution parameters for probabilistic prediction of remaining useful life using deep learning
You Keshun, Guangqi Qiu, Yingkui Gu
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109793-109793
Closed Access | Times Cited: 44
Toward Efficient and Interpretative Rolling Bearing Fault Diagnosis via Quadratic Neural Network With Bi-LSTM
You Keshun, Wang Puzhou, Yingkui Gu
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 23002-23019
Closed Access | Times Cited: 32
A 3-D Attention-Enhanced Hybrid Neural Network for Turbofan Engine Remaining Life Prediction Using CNN and BiLSTM Models
You Keshun, Guangqi Qiu, Yingkui Gu
IEEE Sensors Journal (2023) Vol. 24, Iss. 14, pp. 21893-21905
Closed Access | Times Cited: 29
A hybrid deep learning model towards fault diagnosis of drilling pump
Junyu Guo, Yulai Yang, He Li, et al.
Applied Energy (2024) Vol. 372, pp. 123773-123773
Open Access | Times Cited: 12
Bearing faults classification using a new approach of signal processing combined with machine learning algorithms
Fawzi Gougam, Adel Afia, Abdenour Soualhi, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2024) Vol. 46, Iss. 2
Closed Access | Times Cited: 9
Review of research on signal decomposition and fault diagnosis of rolling bearing based on vibration signal
Junning Li, Luo Wen-guang, Mengsha Bai
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 092001-092001
Closed Access | Times Cited: 9
Research on bearing fault diagnosis based on novel MRSVD-CWT and improved CNN-LSTM
Yuan Guo, Jun Zhou, Zhenbiao Dong, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 095003-095003
Closed Access | Times Cited: 7
A sound-vibration physical-information fusion constraint-guided deep learning method for rolling bearing fault diagnosis
You Keshun, Wang Puzhou, Peng Huang, et al.
Reliability Engineering & System Safety (2024), pp. 110556-110556
Closed Access | Times Cited: 7
A performance-interpretable intelligent fusion of sound and vibration signals for bearing fault diagnosis via dynamic CAME
You Keshun, Lian Zengwei, Yingkui Gu
Nonlinear Dynamics (2024) Vol. 112, Iss. 23, pp. 20903-20940
Closed Access | Times Cited: 6
Deep Learning and Computer Vision Techniques for Enhanced Quality Control in Manufacturing Processes
Md Raisul Islam, Md Zakir Hossain Zamil, Md. Eshmam Rayed, et al.
IEEE Access (2024) Vol. 12, pp. 121449-121479
Open Access | Times Cited: 6
Research on interpretability of writer identification based on multi-label classification of writing style
Zhenjiang Li, Miao Zhang, Qianxue Zhang
Engineering Research Express (2025) Vol. 7, Iss. 1, pp. 015250-015250
Closed Access
Novel practical predictive maintenance measurement solutions for industrial systems
Ke Feng, Ting-Yang Yu, Qing Ni, et al.
Measurement Science and Technology (2025) Vol. 36, Iss. 2, pp. 020203-020203
Closed Access
Lightweight DCGAN and MobileNet based model for detecting X-ray welding defects under unbalanced samples
Lei Zhang, Haihong Pan, Bingqi Jia, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A hybrid fault diagnosis method for rolling bearings based on GGRU-1DCNN with AdaBN algorithm under multiple load conditions
Lirong Sun, Xiaomin Zhu, Jiannan Xiao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076201-076201
Closed Access | Times Cited: 3
A novel rolling bearing fault diagnosis method based on time-series fusion transformer with interpretability analysis
You Keshun, Lian Zengwei, Ronghua Chen, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-27
Closed Access | Times Cited: 3
An integrated approach combining randomized kernel PCA, Gaussian mixture modeling and ICA for fault detection in non-linear processes
Amir Khurshid, Ajaya Kumar Pani
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076208-076208
Closed Access | Times Cited: 2
Surface Defect Detection and Semantic Segmentation with a Novel Lightweight Deep Neural Network
Qiang Huang, Fudong Li, Yuequan Yang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 085017-085017
Closed Access | Times Cited: 2
Interpretable and efficient RUL prediction of turbofan engines using EM-enhanced Bi-LSTM with TCN and attention mechanism
Wang Jian-xing, Yue Wang, J. W. Li
Engineering Research Express (2024) Vol. 6, Iss. 3, pp. 035507-035507
Closed Access | Times Cited: 2
Transformer assisted by DSC and BiLSTM for bearing fault pattern recognition under strong noise interference
Yanli Yang, Huimin Zhou, Pan Wei-sheng
Nondestructive Testing And Evaluation (2024), pp. 1-23
Closed Access | Times Cited: 2
A Novel RUL Prediction Method for Rolling Bearings Based on Dynamic Control Chart and Adaptive incremental filtering
Junxing Li, Zhihua Wang, Lijuan Shen
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 106138-106138
Closed Access | Times Cited: 2
A Deep Learning-Based Intelligent Quality Detection Model for Machine Translation
Meijuan Chen
IEEE Access (2023) Vol. 11, pp. 89469-89477
Open Access | Times Cited: 5
Design of a progressive fault diagnosis system for hydropower units considering unknown faults
Jinbao Chen, Yang Zheng, Xiaoqin Deng, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 015904-015904
Closed Access | Times Cited: 5
A hierarchical transformer-based adaptive metric and joint-learning network for few-shot rolling bearing fault diagnosis
Zong Meng, Zhaohui Zhang, Yang Guan, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 035114-035114
Closed Access | Times Cited: 5
Page 1 - Next Page

Scroll to top