BooJoong Kang

2.0k citations
34 papers · 1.3k indexed · 2 hit papers · h-index 14
Topics
Advanced Malware Detection Techniques (27 papers)Network Security and Intrusion Detection (17 papers)Software Testing and Debugging Techniques (10 papers)

In The Last Decade

BooJoong Kang

30 papers receiving 1.2k citations

Hit Papers

A Multimodal Deep Learning Method for Android Malware Det...201720262020202320182017100200300

Peers

BooJoong Kang
Comparison fields: 5 of 51
  • Signal Processing 1.0k
  • Computer Networks and Communications 891
  • Information Systems 459
  • Artificial Intelligence 356
  • Software 339
Replace Eul Gyu Im with:
Eul Gyu Im South Korea
Parvez Faruki India
Danish Vasan China
Sakir Sezer United Kingdom
Antonio Bianchi United States
Elmar Gerhards‐Padilla Germany
Andrei Costin Finland
D. Mutz United States
Fu Song China
Gunel Jahangirova Switzerland
BooJoong Kang relative to Eul Gyu Im South Korea Eul Gyu Im's profile →
Citations per field
00.5×1.5×
Eul Gyu Im · 1×
Citations per year

Countries citing papers authored by BooJoong Kang

Since Specialization
Citations

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

Fields of papers citing papers by BooJoong Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of BooJoong Kang

This figure shows the co-authorship network connecting the top 25 collaborators of BooJoong Kang. A scholar is included among the top collaborators of BooJoong 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 BooJoong Kang. BooJoong Kang 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
#WorkIndexed citations
1 0
2 0
3 0
4 0
5 1
6 8
7 2
8 9
9 2
10 11
11 16
12 21
13 12
14 5
15 11
16 2
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18 59
19 4
20 21

About BooJoong Kang

BooJoong Kang is a scholar working on Software, Signal Processing and Computer Networks and Communications, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (27 papers), Network Security and Intrusion Detection (17 papers) and Software Testing and Debugging Techniques (10 papers). The work is most often cited by research in Signal Processing (1.0k citations), Software (339 citations) and Computer Networks and Communications (891 citations). BooJoong Kang has collaborated with scholars based in South Korea, United Kingdom and Austria. Frequent co-authors include Eul Gyu Im, Sakir Sezer, TaeGuen Kim, Mina Rho, Suleiman Y. Yerima, Jesús Martínez del Rincón, Adam Doupé, Jae Hyun Lim, Gail‐Joon Ahn and Niall McLaughlin. Their work appears in journals such as IEEE Access, Knowledge-Based Systems and IEEE Transactions on Information Forensics and Security.

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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