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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:

Data-model linkage prediction of tool remaining useful life based on deep feature fusion and Wiener process
Xuebing Li, Xianli Liu, Caixu Yue, et al.
Journal of Manufacturing Systems (2024) Vol. 73, pp. 19-38
Closed Access | Times Cited: 16

Showing 16 citing articles:

Hybrid CNN-LSTM model driven image segmentation and roughness prediction for tool condition assessment with heterogeneous data
Xu Zhu, Guilin Chen, Chao Ni, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 90, pp. 102796-102796
Closed Access | Times Cited: 6
Model-data hybrid driven approach for remaining useful life prediction of cutting tool based on improved inverse Gaussian process
Ning Zhang, Zhanpeng Jiang, Yingbing Sun, et al.
Journal of Manufacturing Processes (2024) Vol. 124, pp. 604-620
Closed Access | Times Cited: 5
Tool wear monitoring based on physics-informed Gaussian process regression
Mingjian Sun, Xianding Wang, Kai Guo, et al.
Journal of Manufacturing Systems (2024) Vol. 77, pp. 40-61
Closed Access | Times Cited: 5
DCAGGCN: A novel method for remaining useful life prediction of bearings
Deqiang He, Jiayang Zhao, Zhenzhen Jin, et al.
Reliability Engineering & System Safety (2025), pp. 110978-110978
Closed Access
A nonlinear dynamic ensemble remaining useful life prediction method considering multi-source data uncertainty
Pengwei Jiang, Weibo Ren, Zhongxin Chen, et al.
Mechanical Systems and Signal Processing (2025) Vol. 230, pp. 112607-112607
Closed Access
Ball-end tool wear monitoring and multi-step forecasting with multi-modal information under variable cutting conditions
Yanpeng Hao, Lida Zhu, Jinsheng Wang, et al.
Journal of Manufacturing Systems (2024) Vol. 76, pp. 234-258
Closed Access | Times Cited: 4
Intelligent monitoring system for production lines in smart factories: A hybrid method integrating Transformer and Kalman filter
Xuzhou Fang, Qinghua Song, Zhenyang Li, et al.
Journal of Manufacturing Systems (2025) Vol. 79, pp. 27-47
Closed Access
An uncertain nonlinear remaining useful life prediction model integrating multiple uncertainties quantification for small sample systems
Cuiping Niu, Zhigeng Fang, Wenjie Dong
Mechanical Systems and Signal Processing (2025) Vol. 230, pp. 112586-112586
Closed Access
Developing a deep learning-based uncertainty-aware tool wear prediction method using smartphone sensors for the turning process of Ti-6Al-4V
Gyeongho Kim, Sang Min Yang, Dong Min Kim, et al.
Journal of Manufacturing Systems (2024) Vol. 76, pp. 133-157
Closed Access | Times Cited: 3
An innovative multisource multibranch metric ensemble deep transfer learning algorithm for tool wear monitoring
Zhilie Gao, Ni Chen, Yingfei Yang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102659-102659
Closed Access | Times Cited: 2
Multi-source online transfer learning based on hybrid physics-data model for cross-condition tool health monitoring
Biyao Qiang, Kaining Shi, Junxue Ren, et al.
Journal of Manufacturing Systems (2024) Vol. 77, pp. 1-17
Closed Access | Times Cited: 2
A Review of Physics-Based, Data-Driven, and Hybrid Models for Tool Wear Monitoring
Haoyuan Zhang, Shanglei Jiang, Daqing Gao, et al.
Machines (2024) Vol. 12, Iss. 12, pp. 833-833
Open Access | Times Cited: 1
A review of cutting tool life prediction through flank wear monitoring
Monojit Das, V.N.A. Naikan, Subhash Chandra Panja
International Journal of Quality & Reliability Management (2024)
Closed Access
Prognostics for the Sustainability of Industrial Cyber-Physical Systems: From an Artificial Intelligence Perspective
Jiusi Zhang, Jilun Tian, Hao Luo, et al.
IEEE Transactions on Industrial Cyber-Physical Systems (2024) Vol. 2, pp. 495-507
Closed Access
Exploring the Processing Paradigm of Input Data for End-to-End Deep Learning in Tool Condition Monitoring
Chengguan Wang, Guangping Wang, Tao Wang, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5300-5300
Open Access
Adaptive early initial degradation point detection and outlier correction for bearings
Qichao Yang, Baoping Tang, Lei Deng, et al.
Computers in Industry (2024) Vol. 164, pp. 104166-104166
Closed Access
Data and model synergy-driven rolling bearings remaining useful life prediction approach based on deep neural network and Wiener process
Yonghuai Zhu, Xiaoya Zhou, Jiangfeng Cheng, et al.
Journal of Manufacturing Science and Engineering (2024) Vol. 147, Iss. 4
Closed Access
A novel multi-stage precision reliability assessment method for mechanical system by Bayesian fusion
Xiaogang Zhang, Wei Chen, Hongwei Wang, et al.
Computers & Industrial Engineering (2024), pp. 110744-110744
Closed Access
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