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 steps-ahead tool wear prediction method based on support vector regression and particle filtering
Yuxiong Li, Xianzhen Huang, Jiwu Tang, et al.
Measurement (2023) Vol. 218, pp. 113237-113237
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Prediction and classification of tool wear and its state in sustainable machining of Bohler steel with different machine learning models
Mehmet Erdi Korkmaz, Munish Kumar Gupta, Mustafa Kuntoğlu, et al.
Measurement (2023) Vol. 223, pp. 113825-113825
Closed Access | Times Cited: 48
Tool wear and its mechanism in turning aluminum alloys with image processing and machine learning methods
Mehmet Erdi Korkmaz, Munish Kumar Gupta, Enes Çeli̇k, et al.
Tribology International (2023) Vol. 191, pp. 109207-109207
Closed Access | Times Cited: 22
A comprehensive machine learning-based investigation for the index-value prediction of 2G HTS coated conductor tapes
Shahin Alipour Bonab, G.V. Russo, Antonio Morandi, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 2, pp. 025040-025040
Open Access | Times Cited: 6
Strength investigation of tannic acid-modified cement composites using experimental and machine learning approaches
Ning Li, Ziye Kang, Jinrui Zhang
Construction and Building Materials (2024) Vol. 422, pp. 135684-135684
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 temporal-spatial encoder convolutional network model for multitasking prediction
Chengying Zhao, Huaitao Shi, Xianzhen Huang, et al.
Applied Intelligence (2025) Vol. 55, Iss. 5
Closed Access
Machine Learning Intelligent Assisted Correction of Tool Cathode for Blisk Electrochemical Machining
Zhiliang Xu, Zhengyang Xu, Fang Chen, et al.
International Journal of Precision Engineering and Manufacturing (2025)
Closed Access
A novel tool wear monitoring approach based on attention mechanism and gated recurrent unit
Lei Zhang, Zhengcai Zhao, Shichen Zheng, et al.
Machining Science and Technology (2025), pp. 1-25
Closed Access
Improving carrier separation in ZnIn2S4 to boost photocatalytic degradation of metronidazole based on machine learning prediction, experimental verification and theory calculation
Jingyu Ren, Xinyi Yang, Zhirui Niu, et al.
Chemical Engineering Journal (2024) Vol. 497, pp. 155014-155014
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
A novel sub-model selection algorithm considering model interactions in combination forecasting for carbon price forecasting
Jingling Yang, Liren Chen, Huayou Chen
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
A novel algorithm for tool wear monitoring utilizing model and Knowledge-Guided Multi-Expert weighted adversarial deep transfer learning
Zhilie Gao, Ni Chen, Liang Li
Mechanical Systems and Signal Processing (2025) Vol. 228, pp. 112456-112456
Closed Access
Tool digital twin based on knowledge embedding for precision CNC machine tools: Wear prediction for collaborative multi-tool
Jiacheng Sun, Dong Wang, Zhenyu Liu, et al.
Journal of Manufacturing Systems (2025) Vol. 80, pp. 157-175
Closed Access
Efficient Tool Wear Prediction in Manufacturing: BiLPReS Hybrid Model with Performer Encoder
Zekai Si, Sumei Si, Deqiang Mu
Arabian Journal for Science and Engineering (2024) Vol. 49, Iss. 11, pp. 15193-15204
Closed Access | Times Cited: 3
Artificial intelligence-based surrogate model for computation of the electric field of high voltage transmission line ceramic insulator with corona ring
Shahin Alipour Bonab, Alireza Sadeghi, Mohammad Yazdani-Asrami
World Journal of Engineering (2024)
Open Access | Times Cited: 3
Study on tool wear state recognition algorithm based on spindle vibration signals collected by homemade tool condition monitoring ring
Zhongling Xue, Liang Li, Youling Wu, et al.
Measurement (2023) Vol. 223, pp. 113787-113787
Closed Access | Times Cited: 8
Research on cutting tool edge geometry design based on SVR-PSO
Yimin Jiang, Wei Huang, Yu Tian, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 131, Iss. 9-10, pp. 5047-5059
Open Access | Times Cited: 2
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
Determination of concrete compressive strength from surface images with the integration of CNN and SVR methods
Gaffari Çelik, Muhammet Ozdemir
Measurement (2024) Vol. 238, pp. 115331-115331
Closed Access | Times Cited: 2
Denoising Diffusion Probabilistic Model Enhanced Tool Condition Monitoring Method Under Imbalanced Conditions
Yu Fu, Meipeng Zhong, Junfeng Huang, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 015018-015018
Closed Access | Times Cited: 2
Research on tool wear prediction based on the random forest optimized by NGO algorithm
Yaonan Cheng, Shilong Zhou, Jing Xue, et al.
Machining Science and Technology (2024), pp. 1-24
Closed Access | Times Cited: 1
Tool Wear Prediction Based on Adaptive Feature and Temporal Attention with Long Short-Term Memory Model
Wanzhen Wang, Sze Song Ngu, Miaomiao Xin, et al.
International Journal of Engineering and Technology Innovation (2024) Vol. 14, Iss. 3, pp. 271-284
Open Access | Times Cited: 1
Sustainable optimization of micro-milling machining parameters considering reliability assessment
Pengfei Ding, Xianzhen Huang
Mechanics Based Design of Structures and Machines (2024), pp. 1-38
Closed Access | Times Cited: 1
Feedback control system for vibration construction of fresh concrete
Jiajie Li, Zhenghong Tian, Yuanshan Ma, et al.
Mechanical Systems and Signal Processing (2024) Vol. 216, pp. 111461-111461
Closed Access
Page 1 - Next Page

Scroll to top