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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:

A Hybrid Attention-Based Paralleled Deep Learning model for tool wear prediction
Jian Duan, Xi Zhang, Tielin Shi
Expert Systems with Applications (2022) Vol. 211, pp. 118548-118548
Closed Access | Times Cited: 65

Showing 26-50 of 65 citing articles:

Review of wire breakage causes and mitigation strategies in wire electrical discharge machining
Kanhaya Lal, Rajeev Trehan
Machining Science and Technology (2025), pp. 1-47
Closed Access
Intelligent Tool-Wear Prediction Based on Informer Encoder and Bi-Directional Long Short-Term Memory
Xingang Xie, Min Huang, Yue Liu, et al.
Machines (2023) Vol. 11, Iss. 1, pp. 94-94
Open Access | Times Cited: 11
Hybrid physics data-driven model-based fusion framework for machining tool wear prediction
Tianhong Gao, Haiping Zhu, Jun Wu, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 132, Iss. 3-4, pp. 1481-1496
Closed Access | Times Cited: 3
A Novel Heterogeneous Network for Modeling Driver Attention With Multi-Level Visual Content
Zhongxu Hu, Yiran Zhang, Qinghua Li, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 12, pp. 24343-24354
Closed Access | Times Cited: 16
Hybrid machine condition monitoring based on interpretable dual tree methods using Wasserstein metrics
Yuekai Liu, Tianyang Wang, Fulei Chu
Expert Systems with Applications (2023) Vol. 235, pp. 121104-121104
Closed Access | Times Cited: 10
A physics-informed CNN-TSE hybrid network for micro-EDM process monitoring and control
Long Ye, Jun Qian, Dominiek Reynaerts
Mechanical Systems and Signal Processing (2023) Vol. 202, pp. 110685-110685
Closed Access | Times Cited: 9
Tool Wear Prediction Model Using Multi-Channel 1D Convolutional Neural Network and Temporal Convolutional Network
Min Huang, Xingang Xie, Weiwei Sun, et al.
Lubricants (2024) Vol. 12, Iss. 2, pp. 36-36
Open Access | Times Cited: 3
Tool Wear Monitoring in Milling Based on Fine-Grained Image Classification of Machined Surface Images
Jing Yang, Jian Duan, Tianxiang Li, et al.
Sensors (2022) Vol. 22, Iss. 21, pp. 8416-8416
Open Access | Times Cited: 14
Research on online identification of surface burnishing tool machining conditions by spindle current signal analysis
Zhongyu Piao, Wei Chao-tang, Yuan Zhi-peng, et al.
Tribology International (2024) Vol. 195, pp. 109575-109575
Closed Access | Times Cited: 2
A novel pre-trained model based on graph-labeling graph neural networks for tool wear prediction under variable working conditions
Haitao Xu, Xu Yang, Wei Wang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125026-125026
Closed Access | Times Cited: 6
An Anchor-Free Detector With Channel-Based Prior and Bottom-Enhancement for Underwater Object Detection
Wenjia Ouyang, Yanhui Wei
IEEE Sensors Journal (2023) Vol. 23, Iss. 20, pp. 24800-24811
Closed Access | Times Cited: 5
Development and Evaluation of Deep Learning Models for Predicting Instantaneous Mass Flow Rates of Biomass Fast Pyrolysis in Bubbling Fluidized Beds
Hanbin Zhong, Xiaodong Yu, Zhenyu Wei, et al.
Industrial & Engineering Chemistry Research (2023) Vol. 62, Iss. 42, pp. 17158-17167
Closed Access | Times Cited: 5
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
Dynamic milling force model considering vibration and tool flank wear width for monitoring tool states in machining of Ti-6AI-4V
Junjin Ma, Yujie Zhang, Jiao Feng, et al.
Journal of Manufacturing Processes (2024) Vol. 124, pp. 1519-1540
Closed Access | Times Cited: 1
TPANet: A Novel Triple Parallel Attention Network Approach for Remaining Useful Life Prediction of Lithium-Ion Batteries
Lei Li, Y. G. Li, Runze Mao, et al.
Energy (2024) Vol. 309, pp. 132890-132890
Closed Access | Times Cited: 1
Research progress on intelligent monitoring of tool condition based on deep learning
Dahu Cao, Wei Liu, Jimin Ge, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 134, Iss. 5-6, pp. 2129-2150
Closed Access | Times Cited: 1
Lightweight algorithm based on you only look once version 5 for multiple class defect detection on wind turbine blade surfaces
Yuhang Liu, Yuqiao Zheng, Tai Wei, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109422-109422
Closed Access | Times Cited: 1
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
Improved Salp Swarm Algorithm for Tool Wear Prediction
Yu Wei, Weibing Wan, Xiaoming You, et al.
Electronics (2023) Vol. 12, Iss. 3, pp. 769-769
Open Access | Times Cited: 4
Fault States Diagnosis of Marine Diesel Engine Valve Based on a Modified VGG16 Transfer Learning Method
Yijie Cai, Zhe Xu, Quan Wen, et al.
Mathematical Problems in Engineering (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 4
Integrating Carbon Credits with Life Cycle Costing for Economic Sustainability in SMEs
Muhammad Saad Amjad, Donald McCleeary, Sohan Nagaraj, et al.
Procedia CIRP (2023) Vol. 116, pp. 672-677
Open Access | Times Cited: 3
A lightweight transformer and depthwise separable convolution model for remaining useful life prediction of turbofan engines
Rongzhang Li, Hongfei Zhan, Junhe Yu, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 025020-025020
Closed Access | Times Cited: 3
Construction of an Online Machine Tool Wear Prediction System by Using a Time-Delay Phase Space Reconstruction-Based Dilation Convolutional Neural Network
Her‐Terng Yau, Ping‐Huan Kuo, Dian-Ying Cai, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 19, pp. 22295-22312
Closed Access | Times Cited: 2
Multiclass Classification and Defect Detection of Surfaces Using Modified-YOLO
G. Deepti Raj, B. Prabadevi
(2023), pp. 1-6
Closed Access | Times Cited: 2
Cross-domain intelligent fault diagnosis of rolling bearing based on distance metric transfer learning
Hongdi Zhou, Tao Huang, Xixing Li, et al.
Advances in Mechanical Engineering (2022) Vol. 14, Iss. 11, pp. 168781322211357-168781322211357
Open Access | Times Cited: 3

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