In‐Sik Choi

427 total citations
56 papers, 306 citations indexed

About

In‐Sik Choi is a scholar working on Aerospace Engineering, Civil and Structural Engineering and Signal Processing. According to data from OpenAlex, In‐Sik Choi has authored 56 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Aerospace Engineering, 10 papers in Civil and Structural Engineering and 10 papers in Signal Processing. Recurrent topics in In‐Sik Choi's work include Advanced SAR Imaging Techniques (29 papers), Radar Systems and Signal Processing (13 papers) and Ultrasonics and Acoustic Wave Propagation (7 papers). In‐Sik Choi is often cited by papers focused on Advanced SAR Imaging Techniques (29 papers), Radar Systems and Signal Processing (13 papers) and Ultrasonics and Acoustic Wave Propagation (7 papers). In‐Sik Choi collaborates with scholars based in South Korea and United States. In‐Sik Choi's co-authors include Hyo-Tae Kim, Joon‐Ho Lee, Young‐Jae Choi, Edward J. Rothwell, Dong‐Kyu Seo, Kyung‐Tae Kim, Sung‐Woo Cho, Sungjun Lee, Yong Heui Cho and Yong-Bin Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Signal Processing and IEEE Transactions on Antennas and Propagation.

In The Last Decade

In‐Sik Choi

37 papers receiving 237 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
In‐Sik Choi South Korea 10 221 71 62 55 48 56 306
G. Duff Canada 7 317 1.4× 126 1.8× 54 0.9× 39 0.7× 14 0.3× 9 367
Kun-Chou Lee Taiwan 13 222 1.0× 57 0.8× 117 1.9× 56 1.0× 41 0.9× 22 347
E. Riseborough Canada 8 424 1.9× 169 2.4× 81 1.3× 49 0.9× 32 0.7× 14 486
Weike Feng China 14 380 1.7× 149 2.1× 67 1.1× 55 1.0× 89 1.9× 87 531
Xia Bai China 10 247 1.1× 121 1.7× 50 0.8× 19 0.3× 50 1.0× 46 382
Dong‐Kyu Seo South Korea 5 259 1.2× 69 1.0× 47 0.8× 70 1.3× 54 1.1× 8 326
Christian D. Austin United States 9 365 1.7× 175 2.5× 36 0.6× 70 1.3× 67 1.4× 17 481
Hui Ye China 8 182 0.8× 79 1.1× 28 0.5× 48 0.9× 33 0.7× 18 275
Y.‐N. Peng China 10 348 1.6× 90 1.3× 61 1.0× 33 0.6× 74 1.5× 25 391

Countries citing papers authored by In‐Sik Choi

Since Specialization
Citations

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

Fields of papers citing papers by In‐Sik Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by In‐Sik Choi. 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 In‐Sik Choi. The network helps show where In‐Sik Choi may publish in the future.

Co-authorship network of co-authors of In‐Sik Choi

This figure shows the co-authorship network connecting the top 25 collaborators of In‐Sik Choi. A scholar is included among the top collaborators of In‐Sik Choi 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 In‐Sik Choi. In‐Sik Choi 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.
Choi, Young‐Jae & In‐Sik Choi. (2020). Dynamic RCS Calculation of Wind Turbine Blade Using GPU-Based TSM-RT. The Journal of Korean Institute of Electromagnetic Engineering and Science. 31(3). 245–252. 3 indexed citations
2.
Cho, Yong Heui & In‐Sik Choi. (2020). General Mode-Matching Analysis of a 2-D Truncated PEC Wedge Covered With a Magnetodielectric Semicircular Boss. IEEE Transactions on Antennas and Propagation. 68(12). 8033–8043. 3 indexed citations
3.
Choi, Young‐Jae, et al.. (2019). Design of Integrated Mast Considering Both Antenna Interference and RCS. 622–623. 1 indexed citations
4.
Choi, Young‐Jae, et al.. (2018). Decision-level Fusion Scheme of SVM and naive Bayes Classifier for Radar Target Recognition. International Symposium on Antennas and Propagation. 1 indexed citations
5.
Choi, Young‐Jae, et al.. (2018). Classification of the Front Body of a Missile and Debris in Boosting Part Separation Phase Using Periodic and Statistical Properties of Dynamic RCS. The Journal of Korean Institute of Electromagnetic Engineering and Science. 29(7). 540–549. 3 indexed citations
6.
Choi, In‐Sik, et al.. (2018). Improvement of Calculation Speed of NEC-2 Code Using CUDA and OpenMP. The Journal of Korean Institute of Information Technology. 16(1). 79–85.
7.
Choi, In‐Sik, et al.. (2018). A Study on the Performance Enhancement of Radar Target Classification Using the Two-Level Feature Vector Fusion Method. SHILAP Revista de lepidopterología. 18(3). 206–211. 7 indexed citations
8.
Yeom, Junho, et al.. (2017). Hurricane Harvey Building Damage Assessment Using UAV Data. AGU Fall Meeting Abstracts. 2017. 1 indexed citations
9.
Choi, Young‐Jae, et al.. (2017). Target Recognition Method of DTV-Based Passive Radar Using Multi-Channel Combining Method. The Journal of Korean Institute of Electromagnetic Engineering and Science. 28(10). 794–801.
10.
Choi, In‐Sik, et al.. (2017). Performance Comparison of Correlative Target Recognition Using Various Radar Structure in High Frequency Band. The Journal of Korean Institute of Information Technology. 15(5). 97–103. 1 indexed citations
11.
Choi, Young‐Jae & In‐Sik Choi. (2016). High Resolution Range Profile Construction for DTV-based Passive Radar Using Burg"s Method. 한국통신학회 학술대회논문집. 198–199. 1 indexed citations
12.
Choi, In‐Sik, et al.. (2014). Bistatic radar target identification using FFT-based CLEAN. 1825–1828. 5 indexed citations
13.
Lee, Sungjun, et al.. (2012). A Study on the Target Recognition Using Bistatic Measured Radar Signals. The Journal of Korean Institute of Electromagnetic Engineering and Science. 23(8). 1002–1009. 3 indexed citations
14.
Choi, In‐Sik. (2010). Evolutionary Programming Versus Particle Swarm Optimization for Target Feature Extraction. ICEIC : International Conference on Electronics, Informations and Communications. 238–240. 3 indexed citations
15.
Lee, Sungjun & In‐Sik Choi. (2010). Performance Comparison for Radar Target Classification of Monostatic RCS and Bistatic RCS. The Journal of Korean Institute of Electromagnetic Engineering and Science. 21(12). 1460–1466. 4 indexed citations
16.
Choi, In‐Sik, et al.. (2008). Performance Comparison of Time-Frequency Analysis Methods for Radar Signature Analysis. 48. 24–27. 2 indexed citations
17.
Choi, In‐Sik, et al.. (2007). Static and Free Vibration Analyses of Hybrid Girders by the Equivalent Beam Theory. Journal of the Korean society for railway. 10(5). 600–606. 1 indexed citations
18.
Choi, In‐Sik, et al.. (2003). ISAR motion compensation using evolutionary adaptive wavelet transform. IEE Proceedings - Radar Sonar and Navigation. 150(4). 229–233. 17 indexed citations
19.
Choi, In‐Sik, et al.. (2003). Radar Target Recognition Using One-Dimensional Evolutionary Programming–Based Clean. Journal of Electromagnetic Waves and Applications. 17(5). 763–784. 15 indexed citations
20.
Choi, In‐Sik, et al.. (2000). Efficient radar target classification using adaptive joint time-frequency processing. IEEE Transactions on Antennas and Propagation. 48(12). 1789–1801. 45 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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