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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:

Quality estimation method for gear hobbing based on attention and adversarial transfer learning
Dayuan Wu, Ping Yan, Jie Pei, et al.
Measurement (2021) Vol. 188, pp. 110383-110383
Closed Access | Times Cited: 16

Showing 16 citing articles:

A novel adversarial domain adaptation transfer learning method for tool wear state prediction
Kai Li, Ming-Song Chen, Y.C. Lin, et al.
Knowledge-Based Systems (2022) Vol. 254, pp. 109537-109537
Closed Access | Times Cited: 37
Machining quality prediction of complex thin-walled parts using multi-task dual domain adaptive deep transfer learning
Pei Wang, Haizhen Tao, Jingshuai Qi, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102640-102640
Closed Access | Times Cited: 5
Production quality prediction of cross-specification products using dynamic deep transfer learning network
Pei Wang, Tao Wang, Sheng Yang, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 6, pp. 2567-2592
Closed Access | Times Cited: 8
A novel domain adversarial time-varying conditions intervened neural network for drill bit wear monitoring of the jumbo drill under variable working conditions
Lin Lin, Hao Guo, Feng Guo, et al.
Measurement (2023) Vol. 208, pp. 112474-112474
Closed Access | Times Cited: 7
A meta transfer learning method for gearbox fault diagnosis with limited data
Daoming She, Zhichao Yang, Yudan Duan, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086114-086114
Closed Access | Times Cited: 2
Machining quality prediction of multi-feature parts using integrated multi-source domain dynamic adaptive transfer learning
Pei Wang, Jingshuai Qi, Xun Xu, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 90, pp. 102815-102815
Open Access | Times Cited: 2
Gear Fault Diagnosis Method Based on Multi-Sensor Information Fusion and VGG
Dongyue Huo, Yuyun Kang, Baiyang Wang, et al.
Entropy (2022) Vol. 24, Iss. 11, pp. 1618-1618
Open Access | Times Cited: 10
Experimental analysis of failure modes depending on different loading conditions applied on cylindrical polyamide 66 gears
Matija Hriberšek, Simon Kulovec
Journal of Polymer Engineering (2024) Vol. 44, Iss. 8, pp. 528-541
Open Access | Times Cited: 1
A novel online framework for gear machining quality prediction based on ensemble deep regression
Dayuan Wu, Ping Yan, Han Zhou, et al.
Measurement (2022) Vol. 201, pp. 111716-111716
Closed Access | Times Cited: 5
Multivariate quality prediction of thin-walled parts machining using multi-task parallel deep transfer learning
Pei Wang, Pengde Huang, Haizhen Tao, et al.
International Journal of Production Research (2024), pp. 1-32
Closed Access
Manufacturing of polymer gears by machining
Matija Hriberšek, Simon Kulovec
Elsevier eBooks (2024), pp. 333-353
Closed Access
Improving the Accuracy of Generation of Face Screw Surfaces of Teeth of Hobs
Oleksandr A. Okhrimenko, Michael Storchak, Yuriy Danylchenko, et al.
Mechanical engineering series (2024), pp. 173-203
Closed Access
An Intelligent Deep Learning Technique for Predicting Hobbing Tool Wear Based on Gear Hobbing Using Real-Time Monitoring Data
Sarmad Hameed, Faraz Junejo, Imran Amin, et al.
Energies (2023) Vol. 16, Iss. 17, pp. 6143-6143
Open Access | Times Cited: 1
Analysis of hob vibration frequency components distribution mechanism of different faults states
Han Zhou, Ping Yan, Alex Q. Huang, et al.
Measurement (2023) Vol. 222, pp. 113645-113645
Closed Access | Times Cited: 1
Revolutionizing gear hobbing machine precision: Innovative thermal error compensation and intelligent error control with enhanced crystal structure algorithm and self-attention bidirectional minimal gated unit network
Jinrui Fan, Zihan Li, Tianshu Wang, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122826-122826
Closed Access | Times Cited: 1
A Material Removal State Prediction Method Based on Multi-Scale Attention Mechanism
Zhihang Li, Qian Tang, Ying Liu, et al.
(2022)
Open Access | Times Cited: 1
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