Sun-Joong Kim

1.9k total citations
87 papers, 1.5k citations indexed

About

Sun-Joong Kim is a scholar working on Civil and Structural Engineering, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Sun-Joong Kim has authored 87 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Civil and Structural Engineering, 20 papers in Computer Vision and Pattern Recognition and 11 papers in Computational Mechanics. Recurrent topics in Sun-Joong Kim's work include Structural Health Monitoring Techniques (19 papers), Structural Engineering and Vibration Analysis (13 papers) and Fluid Dynamics and Vibration Analysis (11 papers). Sun-Joong Kim is often cited by papers focused on Structural Health Monitoring Techniques (19 papers), Structural Engineering and Vibration Analysis (13 papers) and Fluid Dynamics and Vibration Analysis (11 papers). Sun-Joong Kim collaborates with scholars based in South Korea, United States and Ethiopia. Sun-Joong Kim's co-authors include Ho-Kyung Kim, Hyuk‐Joon Kwon, Myung Guk Han, Sunhee Cho, Jun-Hun Kwon, Yong‐Kuk Kwon, Jae‐Hong Kim, Taeeun Kim, Min Chul Kim and Jin Myung Park and has published in prestigious journals such as Journal of Clinical Microbiology, Sensors and Cell Reports.

In The Last Decade

Sun-Joong Kim

80 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sun-Joong Kim South Korea 24 413 370 317 275 220 87 1.5k
Olli Vainio Finland 38 621 1.5× 75 0.2× 546 1.7× 351 1.3× 234 1.1× 231 4.8k
Wataru Yamazaki Japan 23 87 0.2× 64 0.2× 68 0.2× 273 1.0× 325 1.5× 157 2.0k
John A. Newman United States 25 368 0.9× 136 0.4× 546 1.7× 402 1.5× 25 0.1× 119 1.8k
Dexin Li China 37 337 0.8× 61 0.2× 106 0.3× 2.6k 9.3× 97 0.4× 207 3.9k
Hidekazu Nishimura Japan 32 1.9k 4.6× 215 0.6× 101 0.3× 861 3.1× 17 0.1× 243 3.3k
Jinzhu Zhou China 19 90 0.2× 77 0.2× 342 1.1× 345 1.3× 37 0.2× 110 1.3k
L. M. Ferrer Spain 21 159 0.4× 20 0.1× 85 0.3× 107 0.4× 162 0.7× 84 1.6k
Jennifer A. Rice United States 21 36 0.1× 1.1k 2.8× 37 0.1× 35 0.1× 28 0.1× 89 1.9k
Ronald Rosenberg United States 37 207 0.5× 102 0.3× 27 0.1× 896 3.3× 37 0.2× 115 5.4k
Yan Yan China 33 230 0.6× 42 0.1× 254 0.8× 276 1.0× 15 0.1× 219 4.5k

Countries citing papers authored by Sun-Joong Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sun-Joong Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun-Joong Kim. 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 Sun-Joong Kim. The network helps show where Sun-Joong Kim may publish in the future.

Co-authorship network of co-authors of Sun-Joong Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sun-Joong Kim. A scholar is included among the top collaborators of Sun-Joong Kim 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 Sun-Joong Kim. Sun-Joong Kim 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.
Kim, Sun-Joong, et al.. (2025). Hybrid CAE-DSVDD for unsupervised vibration-based damage detection in in situ steel truss bridge. Structural Health Monitoring.
2.
Kim, Sun-Joong, Soyeon Park, Jinwon Shin, Inrak Choi, & Sung-Mo Choi. (2023). Deep-learning-based data loss reconstruction for spatiotemporal temperature in piloti structures: Enhancing applicability with limited datasets. Fire Safety Journal. 140. 103887–103887. 3 indexed citations
3.
Kim, Sun-Joong, et al.. (2023). Pointwise multiclass vibration classification for cable-supported bridges using a signal-segmentation deep network. Engineering Structures. 279. 115599–115599. 6 indexed citations
4.
Kim, Sun-Joong, et al.. (2023). Unsupervised Vortex-induced Vibration Detection Using Data Synthesis. Journal of the Computational Structural Engineering Institute of Korea. 36(5). 315–321. 1 indexed citations
5.
Kim, Sun-Joong, et al.. (2022). Using supervised learning techniques to automatically classify vortex-induced vibration in long-span bridges. Journal of Wind Engineering and Industrial Aerodynamics. 221. 104904–104904. 19 indexed citations
6.
Kim, Sun-Joong, Ho-Kyung Kim, & Billie F. Spencer. (2022). Automated damping identification of long-span bridge using long-term wireless monitoring data with multiple sensor faults. Journal of Civil Structural Health Monitoring. 12(2). 465–479. 12 indexed citations
7.
Kim, Sun-Joong, et al.. (2022). Vision‐based automatic cable displacement measurement using Cable‐ROI Net and Uni‐KLT. Structural Control and Health Monitoring. 29(8). 27 indexed citations
8.
Kim, Sun-Joong, et al.. (2022). Vision-Based Cable Displacement Measurement Using Side View Video. Sensors. 22(3). 962–962. 31 indexed citations
9.
Zhu, Cuige, Sun-Joong Kim, Arshag D. Mooradian, et al.. (2021). Cancer-associated exportin-6 upregulation inhibits the transcriptionally repressive and anticancer effects of nuclear profilin-1. Cell Reports. 34(7). 108749–108749. 14 indexed citations
10.
Kim, Sun-Joong, et al.. (2019). Cause investigation of high-mode vortex-induced vibration in a long-span suspension bridge. Structure and Infrastructure Engineering. 16(1). 84–93. 79 indexed citations
11.
Kim, Sun-Joong, et al.. (2018). HTTP adaptive streaming scheme for improving the quality of experience in multi-server environments. Journal of Visual Communication and Image Representation. 51. 14–22. 1 indexed citations
12.
Kim, Sun-Joong, et al.. (2018). Enhanced Damping Estimation for Cable-Stayed Bridges Based on Operational Monitoring Data. Structural Engineering International. 28(3). 308–317. 12 indexed citations
13.
Kim, Sun-Joong, et al.. (2016). Topic Expansion based on Infinite Vocabulary Online LDA Topic Model using Semantic Correlation Information. KIISE Transactions on Computing Practices. 22(9). 461–466.
14.
Kim, Sun-Joong, et al.. (2015). Establishment of a live vaccine strain against fowl typhoid and paratyphoid. 55(4). 241–246. 4 indexed citations
15.
Jeon, Woo-Jin, Kang-Seuk Choi, Dong-Woo Lee, et al.. (2009). Molecular epizootiology of infectious bursal disease (IBD) in Korea. Virus Genes. 39(3). 342–351. 10 indexed citations
16.
Kim, Min Chul, Yong‐Kuk Kwon, Seong-Joon Joh, et al.. (2007). Development of One-Step Reverse Transcriptase–Polymerase Chain Reaction to Detect Duck Hepatitis Virus Type 1. Avian Diseases. 51(2). 540–545. 34 indexed citations
17.
Kim, Minjung, et al.. (2005). Analysis and Design of Middleware Architecture for In-Vehicle Telematics Applications. 1 indexed citations
18.
19.
Kwon, Hyuk‐Joon, et al.. (2002). Distribution and characterization of class 1 integrons in Salmonella enterica serotype Gallinarum biotype Gallinarum. Veterinary Microbiology. 89(4). 303–309. 28 indexed citations
20.
Shin, Jeon‐Soo, Eui‐Cheol Shin, Jongsun Kim, et al.. (1999). Monoclonal Antibodies with Various Reactivity to p58 Killer Inhibitory Receptors. Hybridoma. 18(6). 521–527. 2 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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