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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:

Integrating physics-informed recurrent Gaussian process regression into instance transfer for predicting tool wear in milling process
Biyao Qiang, Kaining Shi, Ning Liu, et al.
Journal of Manufacturing Systems (2023) Vol. 68, pp. 42-55
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Damage evolution and removal behaviors of GaN crystals involved in double-grits grinding
Chen Li, Yuxiu Hu, Zongze Wei, et al.
International Journal of Extreme Manufacturing (2024) Vol. 6, Iss. 2, pp. 025103-025103
Open Access | Times Cited: 96
Atomic-scale understanding of graphene oxide lubrication-assisted grinding of GaN crystals
Chen Li, Guangyin Liu, Chenxi Gao, et al.
International Journal of Mechanical Sciences (2025) Vol. 286, pp. 109934-109934
Closed Access | Times Cited: 7
Intelligent tool wear monitoring based on multi-channel hybrid information and deep transfer learning
Pengfei Zhang, Dong Gao, Dongbo Hong, et al.
Journal of Manufacturing Systems (2023) Vol. 69, pp. 31-47
Closed Access | Times Cited: 28
DP2Net: A discontinuous physical property-constrained single-source domain generalization network for tool wear state recognition
Xuwei Lai, Kai Zhang, Qing Zheng, et al.
Mechanical Systems and Signal Processing (2024) Vol. 215, pp. 111421-111421
Closed Access | Times Cited: 12
Prognostics and health management for predictive maintenance: A review
Chao Huang, Siqi Bu, Hiu Hung Lee, et al.
Journal of Manufacturing Systems (2024) Vol. 75, pp. 78-101
Closed Access | Times Cited: 12
Calibration transfer of cross soluble solids content of different kiwifruit cultivars based on Two-stage TrAdaBoost.R2
Jiaxin Wang, Ye Yang, Sirui Li, et al.
Postharvest Biology and Technology (2024) Vol. 210, pp. 112783-112783
Closed Access | Times Cited: 6
Meta-learning-based approach for tool condition monitoring in multi-condition small sample scenarios
Bowen Zhang, Xianli Liu, Caixu Yue, et al.
Mechanical Systems and Signal Processing (2024) Vol. 216, pp. 111444-111444
Closed Access | Times Cited: 6
A tool wear monitoring method based on data-driven and physical output
Yiyuan Qin, Xianli Liu, Caixu Yue, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 91, pp. 102820-102820
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
A visualization method for cross-scale online monitoring of grinding state based on data-mechanism hybrid-driven digital twin system
Li Gan, Hongzhou Lu, Hao Wang, et al.
Mechanical Systems and Signal Processing (2025) Vol. 225, pp. 112293-112293
Closed Access
A review of artificial intelligence application for machining surface quality prediction: from key factors to model development
Jeong Hoon Ko, Chen Yin
Journal of Intelligent Manufacturing (2025)
Open Access
Research on multi-step ahead prediction method for tool wear based on MSTCN-SBiGRU-MHA
Jing Xue, Yaonan Cheng, Wenjie Zhai, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103219-103219
Closed Access
Multi-source ensemble transfer learning-based unmanned aerial vehicle flight data anomaly detection with limited data: From simulation to reality
Lei Yang, Shaobo Li, Caichao Zhu, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103255-103255
Closed Access
Physics-informed hidden markov model for tool wear monitoring
Kunpeng Zhu, Xin Li, Shenshen Li, et al.
Journal of Manufacturing Systems (2023) Vol. 72, pp. 308-322
Closed Access | Times Cited: 12
Blending physics with data using an efficient Gaussian process regression with soft inequality and monotonicity constraints
Didem Kochan, Xiu Yang
Frontiers in Mechanical Engineering (2025) Vol. 10
Open Access
A method for predicting machining error of thin-walled part considering the dynamic response of elastic deformation
Wangfei Li, Junxue Ren, Kaining Shi, et al.
The International Journal of Advanced Manufacturing Technology (2025)
Closed Access
A tool wear prediction and monitoring method based on machining power signals
Qi Wang, Xi Chen, Qinglong An, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 129, Iss. 11-12, pp. 5387-5401
Open Access | Times Cited: 9
An innovative Multisource Lightweight Adaptive Replayed Online Deep Transfer Learning algorithm for tool wear monitoring
Zhilie Gao, Ni Chen, Yinfei Yang, et al.
Journal of Manufacturing Processes (2024) Vol. 124, pp. 261-281
Closed Access | Times Cited: 2
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
Recent Progress of Chatter Detection and Tool Wear Online Monitoring in Machining Process: A Review and Future Prospects
Feng-ze Qin, Huajun Cao, Guibao Tao, et al.
International Journal of Precision Engineering and Manufacturing-Green Technology (2024) Vol. 12, Iss. 2, pp. 719-748
Closed Access | Times Cited: 2
Novel tool wear prediction method based on multimodal information fusion and deep subdomain adaptation
Wen Hou, Jiachang Wang, Leilei Wang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112128-112128
Closed Access | Times Cited: 1
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
Physics-guided neural operator for data-driven composites manufacturing process modelling
Gengxiang Chen, Yingguang Li, Xu Liu, et al.
Journal of Manufacturing Systems (2023) Vol. 70, pp. 217-229
Closed Access | Times Cited: 4
Predictive model of pump energy consumption based on image feature extraction and instance-based transfer learning
Yingjun Ruan, Mengru Liu, Hua Meng, et al.
Journal of Building Engineering (2023) Vol. 79, pp. 107770-107770
Closed Access | Times Cited: 4
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