Kuinam J. Kim

1.3k total citations · 1 hit paper
43 papers, 907 citations indexed

About

Kuinam J. Kim is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kuinam J. Kim has authored 43 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Networks and Communications, 10 papers in Information Systems and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kuinam J. Kim's work include Network Security and Intrusion Detection (10 papers), Internet of Things and Social Network Interactions (6 papers) and Advanced Malware Detection Techniques (5 papers). Kuinam J. Kim is often cited by papers focused on Network Security and Intrusion Detection (10 papers), Internet of Things and Social Network Interactions (6 papers) and Advanced Malware Detection Techniques (5 papers). Kuinam J. Kim collaborates with scholars based in South Korea, United States and Malaysia. Kuinam J. Kim's co-authors include Hyunjoo Kim, Ikkyun Kim, Donghwoon Kwon, Sang C. Suh, Jinoh Kim, Seung‐Ho Kang, Kyungyong Chung, Jonghyun Kim, Youngsoo Kim and Hye-Young Kim and has published in prestigious journals such as Multimedia Tools and Applications, Personal and Ubiquitous Computing and Wireless Personal Communications.

In The Last Decade

Kuinam J. Kim

42 papers receiving 864 citations

Hit Papers

A survey of deep learning-based network anomaly detection 2017 2026 2020 2023 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kuinam J. Kim South Korea 11 542 529 301 167 90 43 907
Sang C. Suh United States 10 596 1.1× 653 1.2× 280 0.9× 97 0.6× 67 0.7× 36 914
Haixia Hou China 7 739 1.4× 643 1.2× 473 1.6× 176 1.1× 58 0.6× 8 1.1k
Hui Lu China 15 352 0.6× 340 0.6× 197 0.7× 181 1.1× 82 0.9× 55 773
Riaz Ullah Khan China 17 480 0.9× 407 0.8× 401 1.3× 198 1.2× 127 1.4× 38 1.0k
Khairul Akram Zainol Ariffin Malaysia 15 489 0.9× 312 0.6× 320 1.1× 273 1.6× 76 0.8× 44 873
Stuart H. Rubin United States 11 358 0.7× 521 1.0× 166 0.6× 187 1.1× 129 1.4× 120 906
Ikkyun Kim South Korea 14 961 1.8× 805 1.5× 550 1.8× 309 1.9× 79 0.9× 54 1.3k
Péter Bertök Australia 17 429 0.8× 564 1.1× 178 0.6× 348 2.1× 122 1.4× 63 1.1k
Hongliang Zhu China 10 661 1.2× 607 1.1× 433 1.4× 312 1.9× 91 1.0× 56 1.1k
Jonghyun Kim South Korea 16 444 0.8× 286 0.5× 282 0.9× 189 1.1× 46 0.5× 96 756

Countries citing papers authored by Kuinam J. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Kuinam J. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuinam J. Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Kuinam J. Kim. A scholar is included among the top collaborators of Kuinam J. 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 Kuinam J. Kim. Kuinam J. 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, Kuinam J., et al.. (2021). IT Convergence and Security. Lecture notes in electrical engineering. 1 indexed citations
2.
Kim, Hyunjoo, Jonghyun Kim, Youngsoo Kim, Ikkyun Kim, & Kuinam J. Kim. (2018). Design of network threat detection and classification based on machine learning on cloud computing. Cluster Computing. 22(S1). 2341–2350. 39 indexed citations
3.
Kim, Kuinam J.. (2018). Information Science and Applications 2018. Lecture notes in electrical engineering. 9 indexed citations
4.
Baek, Nakhoon, et al.. (2017). Geometric primitive extraction from LiDAR-scanned point clouds. Cluster Computing. 20(1). 741–748. 4 indexed citations
5.
Baek, Nakhoon & Kuinam J. Kim. (2017). An artifact detection scheme with CUDA-based image operations. Cluster Computing. 20(1). 749–755. 8 indexed citations
6.
Kim, Kuinam J., et al.. (2017). IT Convergence and Security 2017. Lecture notes in electrical engineering. 17 indexed citations
7.
Kwon, Donghwoon, Hyunjoo Kim, Jinoh Kim, et al.. (2017). A survey of deep learning-based network anomaly detection. Cluster Computing. 22(S1). 949–961. 506 indexed citations breakdown →
8.
Kim, Hye-Young & Kuinam J. Kim. (2017). Optimized state update for mobile games in cloud networks. Cluster Computing. 22(S1). 1035–1041. 3 indexed citations
9.
Kim, Hong‐Gee, et al.. (2016). A Feature Selection Approach Based on Simulated Annealing for Detecting Various Denial of Service Attacks. 2016(1). 1–18. 3 indexed citations
10.
Kim, Kuinam J., et al.. (2016). Belief propagation decoding assisted on-the-fly Gaussian elimination for short LT codes. Cluster Computing. 19(1). 309–314. 3 indexed citations
11.
Kang, Seung‐Ho & Kuinam J. Kim. (2016). A feature selection approach to find optimal feature subsets for the network intrusion detection system. Cluster Computing. 19(1). 325–333. 71 indexed citations
12.
Kim, Kuinam J., et al.. (2016). A Study on Acceptance Procedure Improvement of Web Application by Outsourcing for Mobile Service. Wireless Personal Communications. 94(1). 5–16. 2 indexed citations
13.
Kim, Hong‐Gee, et al.. (2016). A Feature Selection Approach Based on Simulated Annealing for Detecting Various Denial of Service Attacks. 2016(1). 173–190. 17 indexed citations
14.
Gen, Mitsuo, Kuinam J. Kim, Xiaoxia Huang, & Hiroshi Yabe. (2015). Industrial Engineering, Management Science and Applications 2015. Lecture notes in electrical engineering. 29 indexed citations
15.
Kim, Dae-Hwan, et al.. (2014). Advanced feature point transformation of corner points for mobile object recognition. Multimedia Tools and Applications. 74(16). 6541–6556. 2 indexed citations
16.
Kim, Minsu, et al.. (2013). A Study on Convergence Security System for Preventing Leakage of Internal Information. Wireless Personal Communications. 73(2). 175–185. 2 indexed citations
17.
Park, Roy C., Hoill Jung, Kyungyong Chung, & Kuinam J. Kim. (2013). Performance analysis of LTE downlink system using relay-based selective transmission. Personal and Ubiquitous Computing. 18(3). 543–551. 3 indexed citations
18.
Kim, Kuinam J., et al.. (2011). A study on malicious codes pattern advanced analysis using visualization. Multimedia Tools and Applications. 68(2). 253–263. 3 indexed citations
19.
Kim, Kuinam J., et al.. (2008). A Study on the Information Superiority of Network Centric Warfare for Future Battlefield. 224–231. 3 indexed citations
20.
Kim, Jae Myung, et al.. (2008). The Study of Response Model & Mechanism Against Windows Kernel Compromises. 10 c. 600–608. 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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