Myeongsu Kang

1.1k total citations
32 papers, 807 citations indexed

About

Myeongsu Kang is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Myeongsu Kang has authored 32 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Control and Systems Engineering, 12 papers in Computer Vision and Pattern Recognition and 11 papers in Mechanical Engineering. Recurrent topics in Myeongsu Kang's work include Machine Fault Diagnosis Techniques (17 papers), Gear and Bearing Dynamics Analysis (10 papers) and Fault Detection and Control Systems (7 papers). Myeongsu Kang is often cited by papers focused on Machine Fault Diagnosis Techniques (17 papers), Gear and Bearing Dynamics Analysis (10 papers) and Fault Detection and Control Systems (7 papers). Myeongsu Kang collaborates with scholars based in South Korea, United States and Vietnam. Myeongsu Kang's co-authors include Jong-Myon Kim, Jae‐Young Kim, Byeong-Keun Choi, Michael Pecht, Andy Tan, Md. Rashedul Islam, Cheol Hong Kim, Hoang-Phuong Nguyen, Jia Uddin and Yung‐Keun Kwon and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and IEEE Transactions on Power Electronics.

In The Last Decade

Myeongsu Kang

26 papers receiving 780 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Myeongsu Kang South Korea 13 608 409 186 82 80 32 807
Jian Cheng China 15 672 1.1× 427 1.0× 219 1.2× 43 0.5× 80 1.0× 47 844
Zuozhou Pan China 11 600 1.0× 385 0.9× 194 1.0× 31 0.4× 83 1.0× 28 758
Jinyu Tong China 19 833 1.4× 513 1.3× 288 1.5× 52 0.6× 147 1.8× 73 1.1k
Xiaoyang Liu China 12 651 1.1× 447 1.1× 224 1.2× 44 0.5× 139 1.7× 21 878
Qinghua Zhang China 12 567 0.9× 301 0.7× 198 1.1× 24 0.3× 101 1.3× 44 728
Myeongsu Kang United States 10 527 0.9× 302 0.7× 156 0.8× 31 0.4× 50 0.6× 16 673
Joon Ha Jung South Korea 13 498 0.8× 301 0.7× 171 0.9× 31 0.4× 98 1.2× 25 657
Qin Yi China 7 502 0.8× 339 0.8× 150 0.8× 39 0.5× 128 1.6× 24 745

Countries citing papers authored by Myeongsu Kang

Since Specialization
Citations

This map shows the geographic impact of Myeongsu Kang'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 Myeongsu Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Myeongsu Kang more than expected).

Fields of papers citing papers by Myeongsu Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Myeongsu Kang. 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 Myeongsu Kang. The network helps show where Myeongsu Kang may publish in the future.

Co-authorship network of co-authors of Myeongsu Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Myeongsu Kang. A scholar is included among the top collaborators of Myeongsu Kang 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 Myeongsu Kang. Myeongsu Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kang, Myeongsu, Md. Rashedul Islam, Jae‐Young Kim, Jong-Myon Kim, & Michael Pecht. (2016). A Hybrid Feature Selection Scheme for Reducing Diagnostic Performance Deterioration Caused by Outliers in Data-Driven Diagnostics. IEEE Transactions on Industrial Electronics. 63(5). 3299–3310. 98 indexed citations
2.
Kang, Myeongsu, et al.. (2016). A Massively Parallel Approach to Real-Time Bearing Fault Detection Using Sub-Band Analysis on an FPGA-Based Multicore System. IEEE Transactions on Industrial Electronics. 63(10). 6325–6335. 20 indexed citations
3.
Kang, Myeongsu, et al.. (2015). Enhanced DET-Based Fault Signature Analysis for Reliable Diagnosis of Single and Multiple-Combined Bearing Defects. Shock and Vibration. 2015. 1–10. 9 indexed citations
4.
Kang, Myeongsu, et al.. (2015). Time-Varying and Multiresolution Envelope Analysis and Discriminative Feature Analysis for Bearing Fault Diagnosis. IEEE Transactions on Industrial Electronics. 62(12). 7749–7761. 118 indexed citations
5.
Kang, Myeongsu, Jae‐Young Kim, Jae‐Young Kim, Jong-Myon Kim, & Jong-Myon Kim. (2014). Reliable fault diagnosis for incipient low-speed bearings using fault feature analysis based on a binary bat algorithm. Information Sciences. 294. 423–438.
6.
Uddin, Jia, et al.. (2014). Reliable Fault Classification of Induction Motors Using Texture Feature Extraction and a Multiclass Support Vector Machine. Mathematical Problems in Engineering. 2014(1). 27 indexed citations
7.
Kang, Myeongsu, et al.. (2014). Accelerating the formant synthesis of haegeum sounds using a general-purpose graphics processing unit. Multimedia Tools and Applications. 75(23). 15445–15459. 1 indexed citations
8.
Kang, Myeongsu, Jae‐Young Kim, & Jong-Myon Kim. (2014). An FPGA-Based Multicore System for Real-Time Bearing Fault Diagnosis Using Ultrasampling Rate AE Signals. IEEE Transactions on Industrial Electronics. 62(4). 2319–2329. 72 indexed citations
9.
Kang, Myeongsu, et al.. (2014). Reliable condition monitoring of an induction motor using a genetic algorithm based method. 15. 37–41. 2 indexed citations
10.
11.
Kang, Myeongsu & Jong-Myon Kim. (2014). Reliable Fault Diagnosis of Multiple Induction Motor Defects Using a 2-D Representation of Shannon Wavelets. IEEE Transactions on Magnetics. 50(10). 1–13. 34 indexed citations
12.
Kang, Myeongsu & Jong-Myon Kim. (2013). Singular value decomposition based feature extraction approaches for classifying faults of induction motors. Mechanical Systems and Signal Processing. 41(1-2). 348–356. 60 indexed citations
13.
Kang, Myeongsu, et al.. (2013). Highly reliable state monitoring system for induction motors using dominant features in a two-dimension vibration signal. New Review of Hypermedia and Multimedia. 19(3-4). 248–258. 15 indexed citations
14.
Choi, Jiwon, Myeongsu Kang, & Jong-Myon Kim. (2012). Implementation of an Optimal SIMD-based Many-core Processor for Sound Synthesis of Guitar. Journal of the Korea Society of Computer and Information. 17(1). 1–10. 1 indexed citations
15.
Kang, Myeongsu, et al.. (2012). A Hybrid Technique for Medical Image Segmentation. SHILAP Revista de lepidopterología. 2012. 1–7. 36 indexed citations
16.
Kim, Yongmin, Myeongsu Kang, & Jong-Myon Kim. (2012). Exploration of Optimal Many-Core Models for Efficient Image Segmentation. IEEE Transactions on Image Processing. 22(5). 1767–1777. 4 indexed citations
17.
Kang, Myeongsu, et al.. (2011). Formant Synthesis of Haegeum: A Sound Analysis/Synthesis System Using Cepstral Envelope. 26. 1–8. 1 indexed citations
18.
Kang, Myeongsu. (2011). Image watermarking using a dynamically weighted fuzzy c-means algorithm. Optical Engineering. 50(10). 107002–107002. 2 indexed citations
19.
Kang, Myeongsu, et al.. (2009). Sound Engine for Korean Traditional Instruments Using General Purpose Digital Signal Processor. The Journal of the Acoustical Society of Korea. 28(3). 229–238. 1 indexed citations
20.
Kang, Myeongsu, et al.. (2009). Implementation of Non-Stringed Guitar Based on Physical Modeling Synthesis. The Journal of the Acoustical Society of Korea. 28(2). 119–126. 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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