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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:

Tool Wear Prediction Based on Multi-Information Fusion and Genetic Algorithm-Optimized Gaussian Process Regression in Milling
Zhiwen Huang, Jiajie Shao, Weicheng Guo, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-16
Open Access | Times Cited: 18

Showing 18 citing articles:

Robust Tool Wear Prediction using Multi-Sensor Fusion and Time-Domain Features for the Milling Process using Instance-based Domain Adaptation
Vivek Warke, Satish Kumar, Arunkumar Bongale, et al.
Knowledge-Based Systems (2024) Vol. 288, pp. 111454-111454
Closed Access | Times Cited: 10
Improving milling tool wear prediction through a hybrid NCA-SMA-GRU deep learning model
Zhongyuan Che, Chong Peng, T. Warren Liao, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124556-124556
Closed Access | Times Cited: 7
Cross-domain tool wear condition monitoring via residual attention hybrid adaptation network
Zhiwen Huang, Weidong Li, Jianmin Zhu, et al.
Journal of Manufacturing Systems (2023) Vol. 72, pp. 406-423
Closed Access | Times Cited: 17
A multi-feature dataset of coated end milling cutter tool wear whole life cycle
Na Li, Xiao Wang, Wanzhen Wang, et al.
Scientific Data (2025) Vol. 12, Iss. 1
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
Milling Machine Fault Diagnosis Using Acoustic Emission and Hybrid Deep Learning with Feature Optimization
Muhammad Umar, Muhammad Siddique, N. Ullah, et al.
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10404-10404
Open Access | Times Cited: 4
Tool wear monitoring by estimating milling torque and calculating the wear energy coefficient under variable depth of cut conditions
Defeng Peng, Hongkun Li, Bin Sun, et al.
ISA Transactions (2025)
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
Machining surface roughness detection by adaptive deep fusion capsule network with low illumination and noise robustness
Zhiwen Huang, Qiang Zhang, Jiajie Shao, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 015037-015037
Closed Access | Times Cited: 8
Unified Random Forest and Hybrid Bat Optimization Based Man-in-the-Middle Attack Detection in Advanced Metering Infrastructure
D. Jim Solomon Raja, R. Sriranjani, Parvathy Arulmozhi, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 2
Research on multi-source information fusion tool wear monitoring based on MKW-GPR model
Ruitao Peng, Zelin Xiao, Yuanyuan Peng, et al.
Measurement (2024), pp. 116055-116055
Closed Access | Times Cited: 2
Tool wear monitoring strategy during micro-milling of TC4 alloy based on a fusion model of recursive feature elimination-bayesian optimization-extreme gradient boosting
Hongfei Wang, Qingshun Bai, Jianduo Zhang, et al.
Journal of Materials Research and Technology (2024) Vol. 31, pp. 398-411
Open Access | Times Cited: 1
Configuration of tool wear and its mechanism in sustainable machining of titanium alloys with energy signals
Govind Vashishtha, Sumika Chauhan, Munish Kumar Gupta, et al.
The International Journal of Advanced Manufacturing Technology (2024)
Closed Access | Times Cited: 1
Behavioral-level modelling of GaN HEMT large signal based on Pelican-Gaussian process regression algorithm
Haiyi Cai, Jincan Zhang, Shaowei Wang, et al.
Microelectronics Journal (2023) Vol. 143, pp. 106056-106056
Closed Access | Times Cited: 2
A Predictive Maintenance Strategy for a Single Device Based on Remaining Useful Life Prediction Information: A Case Study on Railway Gyroscope
Zongyao Wang, Wei Shangguan, Cong Peng, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-14
Closed Access
Research on multiparameter state monitoring of boring process
Qiang Liu, Bin Shen, Jing Ma, et al.
Research Square (Research Square) (2024)
Open Access
Semi-Supervised Soft Computing for Ammonia Nitrogen Using a Self-Constructing Fuzzy Neural Network with an Active Learning Mechanism
Hongbiao Zhou, Yang Huang, Dan Yang, et al.
Water (2024) Vol. 16, Iss. 20, pp. 3001-3001
Open Access
Methodology and Experimental Verification for Predicting the Remaining Useful Life of Milling Cutters Based on Hybrid CNN-LSTM-Attention-PSA
Meilu Zhu, Ji Zhang, Lingfan Bu, et al.
Machines (2024) Vol. 12, Iss. 11, pp. 752-752
Open Access
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