Donghwoon Kwon

1.2k total citations · 1 hit paper
15 papers, 801 citations indexed

About

Donghwoon Kwon is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Donghwoon Kwon has authored 15 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 7 papers in Artificial Intelligence and 4 papers in Information Systems. Recurrent topics in Donghwoon Kwon's work include Anomaly Detection Techniques and Applications (7 papers), Network Security and Intrusion Detection (7 papers) and Internet Traffic Analysis and Secure E-voting (6 papers). Donghwoon Kwon is often cited by papers focused on Anomaly Detection Techniques and Applications (7 papers), Network Security and Intrusion Detection (7 papers) and Internet Traffic Analysis and Secure E-voting (6 papers). Donghwoon Kwon collaborates with scholars based in United States and South Korea. Donghwoon Kwon's co-authors include Hyunjoo Kim, Sang C. Suh, Jinoh Kim, Ikkyun Kim, Kuinam J. Kim, Jeong-Tak Ryu, Jin Oh Kim, Robert J. Hammell, Sang‐Youn Kim and Jun Cui and has published in prestigious journals such as IEEE Access, Applied Sciences and Symmetry.

In The Last Decade

Donghwoon Kwon

14 papers receiving 757 citations

Hit Papers

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

  1. A survey of deep learning-based network anomaly detection
    2017 506 citations Donghwoon Kwon, Hyunjoo Kim et al. Cluster Computing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donghwoon Kwon United States 9 585 558 273 76 76 15 801
Sang C. Suh United States 10 653 1.1× 596 1.1× 280 1.0× 97 1.3× 97 1.3× 36 914
Kangfeng Zheng China 11 599 1.0× 630 1.1× 308 1.1× 86 1.1× 131 1.7× 32 860
Anwar Haque Canada 15 530 0.9× 758 1.4× 285 1.0× 103 1.4× 152 2.0× 90 1.1k
Zeeshan Ahmad Saudi Arabia 11 703 1.2× 870 1.6× 442 1.6× 91 1.2× 176 2.3× 26 1.1k
Chenhao Niu China 3 745 1.3× 500 0.9× 464 1.7× 148 1.9× 42 0.6× 7 867
Guanggang Geng China 17 415 0.7× 400 0.7× 177 0.6× 53 0.7× 297 3.9× 61 852
Haixia Hou China 7 643 1.1× 739 1.3× 473 1.7× 106 1.4× 176 2.3× 8 1.1k
Nathan Shone United Kingdom 8 895 1.5× 1.0k 1.8× 577 2.1× 86 1.1× 120 1.6× 24 1.2k
Adel Binbusayyis Saudi Arabia 15 341 0.6× 319 0.6× 145 0.5× 53 0.7× 94 1.2× 40 715
Ayman M. Bahaa-Eldin Egypt 14 265 0.5× 312 0.6× 99 0.4× 102 1.3× 116 1.5× 80 735

Countries citing papers authored by Donghwoon Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Donghwoon Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donghwoon Kwon

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

All Works

15 of 15 papers shown
1.
Kwon, Donghwoon, et al.. (2023). Evaluating Unbalanced Network Data for Attack Detection. 23–26. 1 indexed citations
2.
Kwon, Donghwoon, et al.. (2020). Clustering-based label estimation for network anomaly detection. Digital Communications and Networks. 7(1). 37–44. 11 indexed citations
3.
Kwon, Donghwoon, et al.. (2019). A Study on Development of the Camera-Based Blind Spot Detection System Using the Deep Learning Methodology. Applied Sciences. 9(14). 2941–2941. 10 indexed citations
4.
Kwon, Donghwoon, et al.. (2019). An Empirical Evaluation of Deep Learning for Network Anomaly Detection. IEEE Access. 7. 140806–140817. 58 indexed citations
5.
Kwon, Donghwoon, et al.. (2018). An Empirical Evaluation of Deep Learning for Network Anomaly Detection. 893–898. 40 indexed citations
6.
Kwon, Donghwoon, et al.. (2018). An Empirical Study on Network Anomaly Detection Using Convolutional Neural Networks. 1595–1598. 96 indexed citations
7.
8.
Kwon, Donghwoon, et al.. (2017). A Study on Auto Patrol Drone Development for Safety Management. 293–297. 3 indexed citations
9.
10.
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 →
11.
Kwon, Donghwoon, et al.. (2017). Unsupervised Labeling for Supervised Anomaly Detection in Enterprise and Cloud Networks. 205–210. 29 indexed citations
12.
Kwon, Donghwoon & Robert J. Hammell. (2015). Objective framework for early-stage comparison of software development project types. 1. 393–398. 1 indexed citations
13.
Kwon, Donghwoon & Robert J. Hammell. (2014). Refinement/verification of early stage probabilistic software project schedules in the planning stage. 8. 1–6. 1 indexed citations
14.
Cui, Jun, et al.. (2013). A Study on Comparison Analysis of the System Quality Factors between Korea and China Shopping mall Websites. Journal of Korea Multimedia Society. 16(11). 1315–1324. 1 indexed citations
15.
Kwon, Donghwoon & Robert J. Hammell. (2012). Early Stage Probabilistic Software Project Schedule Estimation. 6(4). 31. 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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