Yong–June Shin

3.2k total citations
127 papers, 2.3k citations indexed

About

Yong–June Shin is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Civil and Structural Engineering. According to data from OpenAlex, Yong–June Shin has authored 127 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Electrical and Electronic Engineering, 66 papers in Control and Systems Engineering and 32 papers in Civil and Structural Engineering. Recurrent topics in Yong–June Shin's work include Electrical Fault Detection and Protection (50 papers), Machine Fault Diagnosis Techniques (24 papers) and Integrated Circuits and Semiconductor Failure Analysis (23 papers). Yong–June Shin is often cited by papers focused on Electrical Fault Detection and Protection (50 papers), Machine Fault Diagnosis Techniques (24 papers) and Integrated Circuits and Semiconductor Failure Analysis (23 papers). Yong–June Shin collaborates with scholars based in South Korea, United States and France. Yong–June Shin's co-authors include Gu-Young Kwon, Hossein Ali Mohammadpour, E.J. Powers, Su Sik Bang, Chun-Kwon Lee, Amin Ghaderi, Herbert L. Ginn, Philip Stone, Yeong Ho Lee and Roger A. Dougal and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Systems and IEEE Access.

In The Last Decade

Yong–June Shin

120 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong–June Shin South Korea 26 1.8k 1.1k 440 233 189 127 2.3k
Pinjia Zhang China 28 2.2k 1.2× 1.9k 1.8× 188 0.4× 285 1.2× 1.1k 5.6× 182 3.4k
Shibin Gao China 25 868 0.5× 660 0.6× 175 0.4× 121 0.5× 498 2.6× 113 1.8k
Gehao Sheng China 25 1.5k 0.8× 622 0.6× 177 0.4× 974 4.2× 214 1.1× 187 2.2k
M.M. Morcos United States 25 2.1k 1.1× 1.2k 1.1× 78 0.2× 305 1.3× 250 1.3× 120 2.6k
Lorenzo Peretto Italy 22 1.5k 0.8× 648 0.6× 84 0.2× 144 0.6× 236 1.2× 222 1.9k
Qi Wang China 20 915 0.5× 812 0.8× 106 0.2× 111 0.5× 112 0.6× 192 1.6k
Shoudao Huang China 33 2.6k 1.4× 1.9k 1.8× 171 0.4× 124 0.5× 743 3.9× 345 3.9k
Dimitris P. Labridis Greece 29 1.8k 1.0× 1.3k 1.3× 64 0.1× 182 0.8× 159 0.8× 115 2.3k
A. Keyhani United States 38 4.3k 2.3× 3.0k 2.8× 148 0.3× 83 0.4× 480 2.5× 189 5.2k
Shuai Zhao China 22 1.1k 0.6× 658 0.6× 59 0.1× 83 0.4× 323 1.7× 80 2.1k

Countries citing papers authored by Yong–June Shin

Since Specialization
Citations

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

Fields of papers citing papers by Yong–June Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yong–June Shin. 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 Yong–June Shin. The network helps show where Yong–June Shin may publish in the future.

Co-authorship network of co-authors of Yong–June Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Yong–June Shin. A scholar is included among the top collaborators of Yong–June Shin 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 Yong–June Shin. Yong–June Shin 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.
2.
Kwon, Gu-Young & Yong–June Shin. (2021). Condition Monitoring Technique of HTS Cable via Tangent Distance-Based Template Matching Coefficient. IEEE Transactions on Applied Superconductivity. 31(5). 1–5. 5 indexed citations
3.
Wang, Lingfeng, et al.. (2020). Data Driven Method for Event Classification via Regional Segmentation of Power Systems. IEEE Access. 8. 48195–48204. 10 indexed citations
4.
Shin, Yong–June, et al.. (2020). Dynamic State Estimation of Generator Using PMU Data with Unknown Inputs. 839–844. 3 indexed citations
5.
Kwon, Gu-Young, et al.. (2020). State of Health Estimation of Li-Ion Batteries Using Multi-Input LSTM with Optimal Sequence Length. 1336–1341. 7 indexed citations
6.
Furse, Cynthia, Moussa Kafal, Reza Razzaghi, & Yong–June Shin. (2020). Special Issue on Embedded Sensors for Fault Diagnosis in Electrical Wiring Interconnection Systems, Power Grids, Structural Cables, Pipelines, and Electrical Machines. IEEE Sensors Journal. 21(2). 886–887. 5 indexed citations
7.
Lee, Geon Seok, Gu-Young Kwon, Su Sik Bang, et al.. (2018). Monitoring Method for an Unbalanced Three-Phase HTS Cable System via Time-Frequency Domain Reflectometry. IEEE Transactions on Applied Superconductivity. 28(4). 1–5. 18 indexed citations
8.
Lee, Geon Seok, et al.. (2018). A Statistical Approach in Time-Frequency Domain Reflectometry for Enhanced Fault Detection. 2018 IEEE 2nd International Conference on Dielectrics (ICD). 993. 1–4.
9.
Lee, Chun-Kwon & Yong–June Shin. (2018). Multi-core cable fault diagnosis using cluster time-frequency domain reflectometry. 20. 1–6. 5 indexed citations
10.
Lee, Geon Seok, Gu-Young Kwon, Su Sik Bang, et al.. (2017). Monitoring Electrical and Thermal Characteristics of HTS Cable Systems via Time–Frequency Domain Reflectometry. IEEE Transactions on Applied Superconductivity. 27(4). 1–5. 18 indexed citations
11.
12.
Lee, Yeong Ho, Su Sik Bang, Gu-Young Kwon, et al.. (2017). Analysis of Wave Propagation of HTS Cables for Compensation of Thermal Loss on Connectors. IEEE Transactions on Applied Superconductivity. 27(4). 1–5. 3 indexed citations
13.
Lee, Chun-Kwon, et al.. (2013). Diagnosis of cables in nuclear power plants using joint time-frequency domain reflectometry. IFAC Proceedings Volumes. 46(29). 74–78. 3 indexed citations
14.
15.
Li, Yu, et al.. (2011). An Ultrasonic Guided Wave Sensor for Gas Accumulation Detection in Nuclear Emergency Core Cooling Systems. Structural Health Monitoring. 839–847. 1 indexed citations
16.
Yu, Lingyu, et al.. (2011). Corrosion detection with piezoelectric wafer active sensors using pitch-catch waves and cross-time–frequency analysis. Structural Health Monitoring. 11(1). 83–93. 20 indexed citations
17.
Shah, Ronak, et al.. (2009). CBM COMPONENT TESTING AT THE UNIVERSITY OF SOUTH CAROLINA: AH-64 GEARBOX GREASE STUDIES. 3 indexed citations
18.
19.
Shin, Yong–June, Denise Gobert, Seung-Hun Sung, E.J. Powers, & J.B. Park. (2005). Application of Cross Time-Frequency Analysis to Postural Sway Behavior: The Effects of Aging and Visual Systems. IEEE Transactions on Biomedical Engineering. 52(5). 859–868. 16 indexed citations
20.
Kim, Min‐Sik, et al.. (2004). A wavelet-based approach to detect shared congestion. ACM SIGCOMM Computer Communication Review. 34(4). 293–306. 6 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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