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:

Mechanical fault intelligent diagnosis using attention-based dual-scale feature fusion capsule network
Qingyu Zhang, Jimeng Li, Wanmeng Ding, et al.
Measurement (2022) Vol. 207, pp. 112345-112345
Closed Access | Times Cited: 18

Showing 18 citing articles:

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
MPNet: A lightweight fault diagnosis network for rotating machinery
Yi Liu, Ying Chen, Xianguo Li, et al.
Measurement (2024) Vol. 239, pp. 115498-115498
Closed Access | Times Cited: 7
A novel convolutional neural network with global perception for bearing fault diagnosis
Xianguo Li, Ying Chen, Yi Liu
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 109986-109986
Closed Access
Reconstruction of 3-D pipeline defect profile based on MFL signals and hybrid neural networks
Yinuo Chen, Zhigang Tian, Haotian Wei, et al.
Reliability Engineering & System Safety (2025), pp. 110890-110890
Open Access
Capsule feature selector for software defect prediction
Yu Tang, Qi Dai, Ye Du, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 3
Closed Access
Fault Diagnosis for Power Batteries Based on a Stacked Sparse Autoencoder and a Convolutional Block Attention Capsule Network
Juan Zhou, Shun Zhang, Peng Wang
Processes (2024) Vol. 12, Iss. 4, pp. 816-816
Open Access | Times Cited: 2
Fault diagnosis method for rolling bearings based on BICNN under complex operating conditions
Xiaoyan Duan, Jiashuo Shi, Chunli Lei, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2024) Vol. 46, Iss. 9
Open Access | Times Cited: 2
A software defect prediction method based on learnable three-line hybrid feature fusion
Yu Tang, Qi Dai, Ye Du, et al.
Expert Systems with Applications (2023) Vol. 239, pp. 122409-122409
Closed Access | Times Cited: 6
Feature Enhancement via Linear Transformation and Its Application in Fault Diagnosis
Biao He, Quan Qian, Yi Qin
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 12, pp. 21895-21903
Closed Access | Times Cited: 1
Fault diagnosis method for rolling bearings based on BICNN under complex operating conditions
Xiaoyan Duan, Jiashuo Shi, Chunli Lei, et al.
Research Square (Research Square) (2024)
Open Access
A multi-scale spatial–temporal capsule network based on sequence encoding for bearing fault diagnosis
Youming Wang, Lisha Chen
Complex & Intelligent Systems (2024)
Open Access
Dual-Path Fault Diagnosis of Small Sample for Mechanical Systems Based on Multiple Attention Mechanisms
Xin Li, Meiling Zhang, Hubo Guo
IEEE Access (2024) Vol. 12, pp. 114538-114551
Open Access
Machine Learning Based Mechanical Fault Diagnosis and Detection Methods: A Systematic Review
Yuechuan Xin, Jianuo Zhu, Mingyang Cai, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 012004-012004
Closed Access
Advanced genetic algorithm-based signal processing for multi-degradation detection in steam turbines
Marta Drosińska-Komor, Jerzy Głuch, Łukasz Breńkacz, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112166-112166
Closed Access
Fault diagnosis of rotating machinery using a signal processing technique and lightweight model based on mechanical structural characteristics
Maodong Niu, Shangjun Ma, Haifeng Zhu, et al.
Measurement (2024), pp. 116505-116505
Closed Access
A Information Extraction Method for Electromechanical Equipment Fault Diagnosis Knowledge Graphs Based on Deep Learning
Jia−Hua Chen, Jianzhong Hu, Q. Zhou
(2024), pp. 265-275
Closed Access
A new bearing fault diagnosis method based on improved weighted multi-scale morphological filter and multi-headed self-attention capsule restricted boltzmann network
Yiyang Liu, Changxian Li, Yunxian Cui, et al.
Journal of Intelligent & Fuzzy Systems (2023) Vol. 45, Iss. 6, pp. 9915-9928
Closed Access | Times Cited: 1
Compound fault separation and diagnosis method for online rolling bearings based on RSEUnet and 1DCNN
Xiufang Wang, Shuang Sun, Chunlei Jiang, et al.
Transactions of the Institute of Measurement and Control (2023) Vol. 46, Iss. 11, pp. 2051-2061
Closed Access
Page 1

Scroll to top