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:

A data-driven two-stage maintenance framework for degradation prediction in semiconductor manufacturing industries
Ming Luo, Heng-Chao Yan, Bin Hu, et al.
Computers & Industrial Engineering (2015) Vol. 85, pp. 414-422
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Intelligent Manufacturing in the Context of Industry 4.0: A Review
Ray Y. Zhong, Xun Xu, Eberhard Klotz, et al.
Engineering (2017) Vol. 3, Iss. 5, pp. 616-630
Open Access | Times Cited: 2409
Machine learning and data mining in manufacturing
Alican Doğan, Derya Birant
Expert Systems with Applications (2020) Vol. 166, pp. 114060-114060
Closed Access | Times Cited: 509
Domain adaptive deep belief network for rolling bearing fault diagnosis
Changchang Che, Huawei Wang, Xiaomei Ni, et al.
Computers & Industrial Engineering (2020) Vol. 143, pp. 106427-106427
Closed Access | Times Cited: 144
Towards a data science platform for improving SME collaboration through Industry 4.0 technologies
Hui Han, Silvana Trimi
Technological Forecasting and Social Change (2021) Vol. 174, pp. 121242-121242
Closed Access | Times Cited: 114
Envisioning maintenance 5.0: Insights from a systematic literature review of Industry 4.0 and a proposed framework
Foivos Psarommatis, Gökan May, Victor Azamfirei
Journal of Manufacturing Systems (2023) Vol. 68, pp. 376-399
Open Access | Times Cited: 53
A Systematic Mapping of the Advancing Use of Machine Learning Techniques for Predictive Maintenance in the Manufacturing Sector
Milena Nacchia, Fabio Fruggiero, Alfredo Lambiase, et al.
Applied Sciences (2021) Vol. 11, Iss. 6, pp. 2546-2546
Open Access | Times Cited: 65
Error compensation of industrial robot based on deep belief network and error similarity
Wei Wang, Wei Tian, Wenhe Liao, et al.
Robotics and Computer-Integrated Manufacturing (2021) Vol. 73, pp. 102220-102220
Closed Access | Times Cited: 65
On the use of machine learning methods to predict component reliability from data-driven industrial case studies
Emanuel Federico Alsina, Manuel Chica, Krzysztof Trawiński, et al.
The International Journal of Advanced Manufacturing Technology (2017) Vol. 94, Iss. 5-8, pp. 2419-2433
Closed Access | Times Cited: 68
Recurrent feature-incorporated convolutional neural network for virtual metrology of the chemical mechanical planarization process
Ki Bum Lee, Chang Ouk Kim
Journal of Intelligent Manufacturing (2018) Vol. 31, Iss. 1, pp. 73-86
Closed Access | Times Cited: 54
Prognostic and health management for adaptive manufacturing systems with online sensors and flexible structures
Yifan Dong, Tangbin Xia, Xiaolei Fang, et al.
Computers & Industrial Engineering (2019) Vol. 133, pp. 57-68
Closed Access | Times Cited: 31
Research of an integrated decision model for production scheduling and maintenance planning with economic objective
Yinhui Ao, Huiping Zhang, Cuifen Wang
Computers & Industrial Engineering (2019) Vol. 137, pp. 106092-106092
Closed Access | Times Cited: 30
Optimal plan for Wiener constant-stress accelerated degradation model
Peihua Jiang, Bing Xing Wang, Xiaofei Wang, et al.
Applied Mathematical Modelling (2020) Vol. 84, pp. 191-201
Open Access | Times Cited: 30
Multitask learning for virtual metrology in semiconductor manufacturing systems
Chan Hee Park, Young-Hoon Kim, Young-Joon Park, et al.
Computers & Industrial Engineering (2018) Vol. 123, pp. 209-219
Closed Access | Times Cited: 31
Manufacturing quality assessment in the industry 4.0 era: a review
Nikolaos Grigorios Markatos, Ali Mousavi
Total Quality Management & Business Excellence (2023) Vol. 34, Iss. 13-14, pp. 1655-1681
Open Access | Times Cited: 8
Impact of integrating equipment health in production scheduling for semiconductor fabrication
Yu-Ting Kao, Stéphane Dauzère‐Pérès, Jakey Blue, et al.
Computers & Industrial Engineering (2018) Vol. 120, pp. 450-459
Closed Access | Times Cited: 26
Regression-based finite element machines for reliability modeling of downhole safety valves
Danilo Colombo, Gílson Brito Alves Lima, Danillo Roberto Pereira, et al.
Reliability Engineering & System Safety (2020) Vol. 198, pp. 106894-106894
Closed Access | Times Cited: 17
Predicting Time-to-Failure of Plasma Etching Equipment using Machine Learning
Anahid Jalali, Clemens Heistracher, Alexander Schindler, et al.
(2019), pp. 1-8
Open Access | Times Cited: 16
Flexible preventative maintenance for serial production lines with multi-stage degrading machines and finite buffers
Yunyi Kang, Feng Ju
IISE Transactions (2019) Vol. 51, Iss. 7, pp. 777-791
Closed Access | Times Cited: 15
Fuzzy reliability centered maintenance considering personnel experience and only censored data
Marco A. Fuentes-Huerta, David S. González-González, Mario Cantú-Sifuentes, et al.
Computers & Industrial Engineering (2021) Vol. 158, pp. 107440-107440
Closed Access | Times Cited: 12
A Data-Driven Maintenance Framework Under Imperfect Inspections for Deteriorating Systems Using Multitask Learning-Based Status Prognostics
Lei Zhang, Jianguo Zhang
IEEE Access (2020) Vol. 9, pp. 3616-3629
Open Access | Times Cited: 12
An AHP-Based Scheme for Sales Forecasting in the Fashion Industry
Ying Zhang, Chunnan Zhang, Yu Liu
Springer series in fashion business (2016), pp. 251-267
Closed Access | Times Cited: 9
A decision-making approach to field service delivery under mixed maintenance policy
Rui Zhou, Yaoguang Hu, Shasha Xiao, et al.
2022 IEEE 17th Conference on Industrial Electronics and Applications (ICIEA) (2016) Vol. 5, pp. 1068-1072
Closed Access | Times Cited: 9
New types of faults detection and diagnosis using a mixed soft & hard clustering framework
Heng-Chao Yan, Jun-Hong Zhou, Chee Khiang Pang
(2016), pp. 1-6
Closed Access | Times Cited: 9
A Data-Driven Fault Tree for a Time Causality Analysis in an Aging System
Kerelous Waghen, Mohamed-Salah Ouali
Algorithms (2022) Vol. 15, Iss. 6, pp. 178-178
Open Access | Times Cited: 4
PSO-SVM Based Performance-Driving Scheduling Method for Semiconductor Manufacturing Systems
Qingyun Yu, Bowen Jiang, Yaxuan Zhang, et al.
Applied Sciences (2023) Vol. 13, Iss. 20, pp. 11439-11439
Open Access | Times Cited: 2
Page 1 - Next Page

Scroll to top