TaeGuen Kim

584 total citations · 1 hit paper
13 papers, 398 citations indexed

About

TaeGuen Kim is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems. According to data from OpenAlex, TaeGuen Kim has authored 13 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Signal Processing, 8 papers in Computer Networks and Communications and 7 papers in Information Systems. Recurrent topics in TaeGuen Kim's work include Advanced Malware Detection Techniques (11 papers), Network Security and Intrusion Detection (7 papers) and Software Testing and Debugging Techniques (4 papers). TaeGuen Kim is often cited by papers focused on Advanced Malware Detection Techniques (11 papers), Network Security and Intrusion Detection (7 papers) and Software Testing and Debugging Techniques (4 papers). TaeGuen Kim collaborates with scholars based in South Korea, Australia and United Kingdom. TaeGuen Kim's co-authors include Eul Gyu Im, BooJoong Kang, Mina Rho, Sakir Sezer, Minsoo Ryu, Sooyong Kang, Byeong Ho Kang, Willy Susilo, Ilsun You and Qing Li and has published in prestigious journals such as IEEE Transactions on Information Forensics and Security, Soft Computing and The Journal of Supercomputing.

In The Last Decade

TaeGuen Kim

11 papers receiving 376 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Multimodal Deep Learning Method for Android Malware Detection Using Various Features

2018 350 citations TaeGuen Kim, BooJoong Kang et al. IEEE Transactions on Information Forensics and Security profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
TaeGuen Kim South Korea	5	359	316	172	127	98	13	398
Anshul Arora India	8	392 1.1×	383 1.2×	187 1.1×	125 1.0×	122 1.2×	29	434
Ekta Gandotra India	11	472 1.3×	424 1.3×	260 1.5×	94 0.7×	162 1.7×	31	520
Durmuş Özkan Şahi̇n Türkiye	8	179 0.5×	171 0.5×	116 0.7×	59 0.5×	95 1.0×	25	278
Justin Sahs United States	3	307 0.9×	216 0.7×	154 0.9×	142 1.1×	96 1.0×	6	335
Takamasa Isohara Japan	6	196 0.5×	182 0.6×	99 0.6×	67 0.5×	90 0.9×	11	256
Pengbin Feng China	8	219 0.6×	216 0.7×	131 0.8×	61 0.5×	71 0.7×	14	285
Bhargava Shastry Germany	5	338 0.9×	153 0.5×	214 1.2×	113 0.9×	205 2.1×	7	385
Andi Fitriah Abdul Kadir Malaysia	5	541 1.5×	525 1.7×	259 1.5×	145 1.1×	177 1.8×	9	596
Babak Yadegari United States	7	378 1.1×	194 0.6×	188 1.1×	111 0.9×	210 2.1×	10	402

Countries citing papers authored by TaeGuen Kim

Since Specialization

Citations

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

Fields of papers citing papers by TaeGuen Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of TaeGuen Kim

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

All Works

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13 of 13 papers shown

1.

Kim, TaeGuen, et al.. (2025). N-gram opcode frequency based malware detection using CNN algorithm. Soft Computing. 29(8). 4045–4053.

2.

Kim, TaeGuen. (2023). Deception-based Method for Ransomware Detection. Journal of Internet Services and Information Security. 13(3). 191–201. 1 indexed citations

3.

Kim, TaeGuen, et al.. (2022). An Enhanced Group Key-Based Security Protocol to Protect 5G SON Against FBS. Computer Systems Science and Engineering. 45(2). 1145–1165. 1 indexed citations

4.

Kim, TaeGuen, BooJoong Kang, & Eul Gyu Im. (2018). Runtime Detection Framework for Android Malware. Mobile Information Systems. 2018. 1–15. 9 indexed citations

5.

Kim, TaeGuen, BooJoong Kang, Mina Rho, Sakir Sezer, & Eul Gyu Im. (2018). A Multimodal Deep Learning Method for Android Malware Detection Using Various Features. IEEE Transactions on Information Forensics and Security. 14(3). 773–788. 350 indexed citations breakdown →

6.

Kim, TaeGuen, et al.. (2018). Malware Classification Using Machine Learning and Binary Visualization. KIISE Transactions on Computing Practices. 24(4). 198–203. 1 indexed citations

7.

Li, Qing, Le Wang, TaeGuen Kim, & Eul Gyu Im. (2016). Mobile-based continuous user authentication system for cloud security. 176–179.

8.

Kim, TaeGuen, et al.. (2016). Binary executable file similarity calculation using function matching. The Journal of Supercomputing. 75(2). 607–622. 16 indexed citations

9.

Kim, TaeGuen, et al.. (2016). Touch Gesture Data based Authentication Method for Smartphone Users. 136–141. 2 indexed citations

10.

Kang, Byeong Ho, TaeGuen Kim, BooJoong Kang, Eul Gyu Im, & Minsoo Ryu. (2014). TASEL. 272–277. 5 indexed citations

11.

Kim, TaeGuen, et al.. (2014). Similarity calculation method for user-define functions to detect malware variants. 12. 236–241. 3 indexed citations

12.

Kim, TaeGuen, et al.. (2014). Survey of dynamic taint analysis. 269–272. 9 indexed citations

13.

Kim, TaeGuen, et al.. (2013). Real-time malware detection framework in intrusion detection systems. 351–352. 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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