Bintao Sun

585 total citations
18 papers, 455 citations indexed

About

Bintao Sun is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Bintao Sun has authored 18 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Mechanical Engineering, 11 papers in Electrical and Electronic Engineering and 5 papers in Control and Systems Engineering. Recurrent topics in Bintao Sun's work include Advanced machining processes and optimization (9 papers), Advanced Machining and Optimization Techniques (9 papers) and Industrial Vision Systems and Defect Detection (4 papers). Bintao Sun is often cited by papers focused on Advanced machining processes and optimization (9 papers), Advanced Machining and Optimization Techniques (9 papers) and Industrial Vision Systems and Defect Detection (4 papers). Bintao Sun collaborates with scholars based in China, Netherlands and Kuwait. Bintao Sun's co-authors include Yuqing Zhou, Weifang Sun, Wei Chen, Jiawei Xiang, Fengping Li, Wei Xue, Xiaoming Pan, Jie Zhou, Yongying Jiang and K. J. Dunn and has published in prestigious journals such as The International Journal of Advanced Manufacturing Technology, IEEE Transactions on Instrumentation and Measurement and Measurement.

In The Last Decade

Bintao Sun

18 papers receiving 442 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bintao Sun China 10 342 203 121 120 51 18 455
David Pánek Czechia 9 146 0.4× 182 0.9× 63 0.5× 29 0.2× 33 0.6× 43 370
Subrata Karmakar India 11 93 0.3× 227 1.1× 207 1.7× 25 0.2× 50 1.0× 39 435
Christopher Bode United States 8 114 0.3× 72 0.4× 200 1.7× 95 0.8× 26 0.5× 12 388
Dong An China 11 105 0.3× 47 0.2× 97 0.8× 14 0.1× 36 0.7× 57 307
Jianzhong Hu China 13 187 0.5× 72 0.4× 229 1.9× 16 0.1× 74 1.5× 40 488
Vahid Ghorbanian Canada 12 226 0.7× 287 1.4× 284 2.3× 18 0.1× 58 1.1× 28 530
Jiacheng Xie China 7 53 0.2× 140 0.7× 33 0.3× 49 0.4× 48 0.9× 24 308

Countries citing papers authored by Bintao Sun

Since Specialization
Citations

This map shows the geographic impact of Bintao Sun's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bintao Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bintao Sun more than expected).

Fields of papers citing papers by Bintao Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bintao Sun. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bintao Sun. The network helps show where Bintao Sun may publish in the future.

Co-authorship network of co-authors of Bintao Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Bintao Sun. A scholar is included among the top collaborators of Bintao Sun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bintao Sun. Bintao Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Hei, Z. K., et al.. (2023). Multi-feature spatial distribution alignment enhanced domain adaptive method for tool condition monitoring. Eksploatacja i Niezawodnosc - Maintenance and Reliability. 25(4). 2 indexed citations
2.
Sun, Bintao, et al.. (2023). Novel tool condition identification based on finite element modelling and support vector machine. International Journal of Manufacturing Research. 18(2). 190–207. 1 indexed citations
3.
Zhou, Yuqing, et al.. (2023). Synthetic Minority Oversampling Enhanced FEM for Tool Wear Condition Monitoring. Processes. 11(6). 1785–1785. 2 indexed citations
4.
Wang, Xingbing, et al.. (2023). WPD-Enhanced Deep Graph Contrastive Learning Data Fusion for Fault Diagnosis of Rolling Bearing. Micromachines. 14(7). 1467–1467. 5 indexed citations
5.
Zhou, Jie, et al.. (2022). Markov Transition Field Enhanced Deep Domain Adaptation Network for Milling Tool Condition Monitoring. Micromachines. 13(6). 873–873. 15 indexed citations
6.
Sun, Bintao, et al.. (2021). Sample Augmentation for Intelligent Milling Tool Wear Condition Monitoring Using Numerical Simulation and Generative Adversarial Network. IEEE Transactions on Instrumentation and Measurement. 70. 1–10. 48 indexed citations
7.
Zhou, Yuqing, et al.. (2021). A new tool wear condition monitoring method based on deep learning under small samples. Measurement. 189. 110622–110622. 112 indexed citations
8.
Sun, Bintao, et al.. (2021). New Tool Wear Estimation Method of the Milling Process Based on Multisensor Blind Source Separation. Mathematical Problems in Engineering. 2021. 1–11. 8 indexed citations
9.
Zhou, Yuqing, et al.. (2021). A GAPSO-Enhanced Extreme Learning Machine Method for Tool Wear Estimation in Milling Processes Based on Vibration Signals. International Journal of Precision Engineering and Manufacturing-Green Technology. 8(3). 745–759. 30 indexed citations
10.
Zhou, Yuqing, et al.. (2020). Tool wear condition monitoring based on a two-layer angle kernel extreme learning machine using sound sensor for milling process. Journal of Intelligent Manufacturing. 33(1). 247–258. 77 indexed citations
11.
Zhou, Yuqing, Bintao Sun, & Weifang Sun. (2020). A tool condition monitoring method based on two-layer angle kernel extreme learning machine and binary differential evolution for milling. Measurement. 166. 108186–108186. 60 indexed citations
12.
Zhou, Yuqing, et al.. (2019). An intrinsic timescale decomposition-based kernel extreme learning machine method to detect tool wear conditions in the milling process. The International Journal of Advanced Manufacturing Technology. 106(3-4). 1203–1212. 33 indexed citations
13.
Zhou, Yuqing, et al.. (2015). NC Machine Tools Fault Diagnosis Based on Kernel PCA andk-Nearest Neighbor Using Vibration Signals. Shock and Vibration. 2015. 1–10. 5 indexed citations
14.
Zhou, Yuqing, et al.. (2014). An online damage identification approach for numerical control machine tools based on data fusion using vibration signals. Journal of Vibration and Control. 21(15). 2925–2936. 24 indexed citations
15.
Sun, Bintao, et al.. (2013). Flame pyrolysis synthesis of self-oriented carbon nanotubes. AIP Advances. 3(9). 9 indexed citations
16.
Sun, Bintao, et al.. (2004). Two-Dimensional Nmr Logging And Field Test Results. 14 indexed citations
17.
Prammer, M.G., et al.. (2002). Field Test Results And Applications Of The Downhole Magnetic Resonance Fluid Analyzer. 9 indexed citations
18.
Sun, Bintao, et al.. (1985). INVERSION OF MAGNETOTELLURIC SOUNDING DATA. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026