Tae-June Kang

851 total citations
18 papers, 733 citations indexed

About

Tae-June Kang is a scholar working on Control and Systems Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Tae-June Kang has authored 18 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Control and Systems Engineering, 14 papers in Mechanical Engineering and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Tae-June Kang's work include Machine Fault Diagnosis Techniques (13 papers), Non-Destructive Testing Techniques (12 papers) and Magnetic Properties and Applications (6 papers). Tae-June Kang is often cited by papers focused on Machine Fault Diagnosis Techniques (13 papers), Non-Destructive Testing Techniques (12 papers) and Magnetic Properties and Applications (6 papers). Tae-June Kang collaborates with scholars based in South Korea, Spain and Austria. Tae-June Kang's co-authors include Sang Bin Lee, Doosoo Hyun, Chanseung Yang, Joan Pons-Llinares, Jose A. Antonino‐Daviu, Jongman Hong, Sanguk Park, Christian Kral, Anton Haumer and M. Riera‐Guasp and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Industry Applications and IEEE Transactions on Dielectrics and Electrical Insulation.

In The Last Decade

Tae-June Kang

18 papers receiving 715 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tae-June Kang South Korea 12 573 337 305 157 115 18 733
E. Wiedenbrug United States 17 501 0.9× 372 1.1× 317 1.0× 126 0.8× 104 0.9× 39 670
Yi Du China 10 522 0.9× 334 1.0× 471 1.5× 177 1.1× 98 0.9× 37 805
Subhasis Nandi Canada 13 748 1.3× 376 1.1× 526 1.7× 204 1.3× 126 1.1× 32 937
M. Dalva Norway 8 557 1.0× 395 1.2× 333 1.1× 95 0.6× 128 1.1× 15 760
Mohamed Sahraoui Algeria 18 673 1.2× 319 0.9× 496 1.6× 122 0.8× 130 1.1× 54 899
J. Stein United States 10 789 1.4× 494 1.5× 342 1.1× 126 0.8× 170 1.5× 23 924
Müslüm Arkan Türkiye 16 698 1.2× 276 0.8× 426 1.4× 103 0.7× 109 0.9× 41 789
Raj Bharadwaj United States 10 496 0.9× 209 0.6× 329 1.1× 79 0.5× 83 0.7× 26 609
Y. Gritli Italy 17 750 1.3× 348 1.0× 573 1.9× 158 1.0× 130 1.1× 68 1.0k
Gojko Joksimović Montenegro 13 867 1.5× 346 1.0× 718 2.4× 255 1.6× 126 1.1× 48 1.1k

Countries citing papers authored by Tae-June Kang

Since Specialization
Citations

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

Fields of papers citing papers by Tae-June Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tae-June Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Tae-June Kang. A scholar is included among the top collaborators of Tae-June 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 Tae-June Kang. Tae-June Kang 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.
Hyun, Doosoo, et al.. (2021). Fault Diagnosis of Belt Driving Power Transfer Facility Using Vibration Analysis. Journal of Electrical Engineering and Technology. 16(4). 2257–2264. 7 indexed citations
2.
Lee, Sang Bin, et al.. (2018). Experience With Stator Insulation Testing and Turn/Phase Insulation Failures in the Power Generation Industry. IEEE Transactions on Industry Applications. 54(3). 2225–2236. 23 indexed citations
3.
Kang, Tae-June, et al.. (2018). Stator Insulation Testing for Appliance Motors with Aluminum Windings: Applying Solutions to Root Causes of Failure. IEEE Industry Applications Magazine. 24(6). 14–24. 11 indexed citations
4.
Kang, Tae-June, et al.. (2018). Electrical Monitoring of Mechanical Defects in Induction Motor-Driven V-Belt–Pulley Speed Reduction Couplings. IEEE Transactions on Industry Applications. 54(3). 2255–2264. 17 indexed citations
6.
Lee, Sang Bin, et al.. (2017). Case studies of stator winding turn insulation failures in medium voltage motors. 1–8. 11 indexed citations
7.
Lee, Sang Bin, Doosoo Hyun, Tae-June Kang, et al.. (2015). Identification of False Rotor Fault Indications Produced by Online MCSA for Medium-Voltage Induction Machines. IEEE Transactions on Industry Applications. 52(1). 729–739. 77 indexed citations
8.
Lee, Sang Bin, Doosoo Hyun, Tae-June Kang, et al.. (2015). Identification of false rotor fault indications produced by on-line MCSA for medium voltage induction machines. 1–9. 47 indexed citations
9.
Yang, Chanseung, Tae-June Kang, Doosoo Hyun, et al.. (2014). Reliable Detection of Induction Motor Rotor Faults Under the Rotor Axial Air Duct Influence. IEEE Transactions on Industry Applications. 50(4). 2493–2502. 81 indexed citations
10.
Kang, Tae-June, Jongwan Kim, Sang Bin Lee, & Chuck Yung. (2014). Experimental evaluation of low voltage off-line testing for induction motor rotor fault diagnostics. 127–136. 10 indexed citations
11.
Pons-Llinares, Joan, Jose A. Antonino‐Daviu, M. Riera‐Guasp, et al.. (2014). Advanced Induction Motor Rotor Fault Diagnosis Via Continuous and Discrete Time–Frequency Tools. IEEE Transactions on Industrial Electronics. 62(3). 1791–1802. 150 indexed citations
12.
Yang, Chanseung, Tae-June Kang, Sang Bin Lee, et al.. (2014). Screening of False Induction Motor Fault Alarms Produced by Axial Air Ducts Based on the Space-Harmonic-Induced Current Components. IEEE Transactions on Industrial Electronics. 62(3). 1803–1813. 29 indexed citations
13.
Kang, Tae-June, Jongwan Kim, Sang Bin Lee, & Chuck Yung. (2014). Experimental Evaluation of Low-Voltage Offline Testing for Induction Motor Rotor Fault Diagnostics. IEEE Transactions on Industry Applications. 51(2). 1375–1384. 12 indexed citations
14.
Yang, Chanseung, Tae-June Kang, Doosoo Hyun, et al.. (2013). Reliable detection of induction motor rotor faults under the rotor axial air duct influence. 49. 2508–2515. 8 indexed citations
15.
Kang, Tae-June, et al.. (2013). The influence of the rotor on surge pd testing of low voltage AC motor stator windings. IEEE Transactions on Dielectrics and Electrical Insulation. 20(3). 762–769. 17 indexed citations
16.
Hong, Jongman, Sanguk Park, Doosoo Hyun, et al.. (2012). Detection and Classification of Rotor Demagnetization and Eccentricity Faults for PM Synchronous Motors. IEEE Transactions on Industry Applications. 48(3). 923–932. 192 indexed citations
17.
Yang, Jinkyu, et al.. (2012). Experimental evaluation of using the surge PD test as a predictive maintenance tool for monitoring turn insulation quality in random wound AC motor stator windings. IEEE Transactions on Dielectrics and Electrical Insulation. 19(1). 53–60. 28 indexed citations
18.
Hong, Jongman, Doosoo Hyun, Tae-June Kang, et al.. (2011). Detection and classification of rotor demagnetization and eccentricity faults for PM synchronous motors. 2512–2519. 10 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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