World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
37
Citations
4950
World Ranking
5186
National Ranking
179

Computer Science

D-Index
37
Citations
5115
World Ranking
10859
National Ranking
127

Taekyoung Kwon publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Taekyoung Kwon sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 181 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Taekyoung Kwon D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Taekyoung Kwon sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Taekyoung Kwon is affiliated with Seoul National University in South Korea. Their research primarily focuses on areas within computer science, with notable contributions to subfields including information systems, artificial intelligence, computer vision and pattern recognition, signal processing, and sociology and political science.

The main topics of their work reflect a diverse engagement with contemporary challenges in machine learning and security, including:

  • Adversarial Robustness in Machine Learning
  • Misinformation and Its Impacts
  • Spam and Phishing Detection
  • Advanced Neural Network Applications
  • Advanced Malware Detection Techniques
  • Topic Modeling
  • Recommender Systems and Techniques

They have coauthored numerous publications with frequent collaborators such as Leo Hyun Park, Jaeuk Kim, Daejin Choi, Selin Chun, and Jinyoung Han.

Taekyoung Kwon has published extensively in several academic venues. The most frequent publication venues include:

  • Information Security and Cryptology
  • The Journal of Humanities and Social Sciences 21
  • Expert Systems with Applications
  • IEEE Transactions on Services Computing
  • Neurocomputing

Selected recent papers include:

  • "Preventing rumor spread with deep learning," 2022, Expert Systems with Applications
  • "GradFuzz: Fuzzing deep neural networks with gradient vector coverage for adversarial examples," 2022, Neurocomputing
  • "A Continuous Authentication Framework for Securing Metaverse Identities," 2025, IEEE Transactions on Services Computing
  • "Predicting diversification scores of videos in recommendation network," 2023, Expert Systems with Applications
  • "On Artifact Analysis for User Behaviors in Collaboration Tools - Using differential forensics for distinct operating environments," 2021, Information Security and Cryptology

The breadth of Taekyoung Kwon's work covers both theoretical and applied aspects of security, machine learning, and recommendation systems. Their contributions address practical problems such as rumor spreading, adversarial attacks on deep neural networks, and authentication in emerging digital environments like the metaverse.

Best Publications

  • An experimental study on the capture effect in 802.11a networks

    Jeongkeun Lee;Wonho Kim;Sung-Ju Lee;Daehyung Jo

  • Mobility management for VoIP service: Mobile IP vs. SIP

    T.T. Kwon;M. Gerla;S. Das

  • Mobile agent-based directed diffusion in wireless sensor networks

    Min Chen;Taekyoung Kwon;Yong Yuan;Yanghee Choi

  • Optimal multi-sink positioning and energy-efficient routing in wireless sensor networks

    Haeyong Kim;Yongho Seok;Nakjung Choi;Yanghee Choi

  • Fast-handoff support in IEEE 802.11 wireless networks

    Sangheon Pack;Jaeyoung Choi;Taekyoung Kwon;Yanghee Choi

  • A Hybrid Query Tree Protocol for Tag Collision Arbitration in RFID systems

    Jiho Ryu;Hojin Lee;Yongho Seok;Taekyoung Kwon

  • Energy-efficient differentiated directed diffusion (EDDD) in wireless sensor networks

    Min Chen;Taekyoung Kwon;Yanghee Choi

  • A novel cluster-based cooperative MIMO scheme for multi-hop wireless sensor networks

    Yong Yuan;Min Chen;Taekyoung Kwon

  • Itinerary Planning for Energy-Efficient Agent Communications in Wireless Sensor Networks

    Min Chen;L. T. Yang;Taekyoung Kwon;Liang Zhou

  • QoS provisioning in wireless/mobile multimedia networks using an adaptive framework

    Taekyoung Kwon;Yanghee Choi;Chatschik Bisdikian;Mahmoud Naghshineh

  • Route Optimization Using Tree Information Option for Nested Mobile Networks

    Hosik Cho;Taekyoung Kwon;Yanghee Choi

  • Distributed and energy-efficient target localization and tracking in wireless sensor networks

    Jeongkeun Lee;Kideok Cho;Seungjae Lee;Taekyoung Kwon

  • Traffic characteristics of a massively multi-player online role playing game

    Jaecheol Kim;Jaeyoung Choi;Dukhyun Chang;Taekyoung Kwon

  • SNC: a selective neighbor caching scheme for fast handoff in IEEE 802.11 wireless networks

    Sangheon Pack;Hakyung Jung;Taekyoung Kwon;Yanghee Choi

  • Call admission control for multimedia services in mobile cellular networks: a Markov decision approach

    Jihyuk Choi;Taekyoung Kwon;Yanghee Choi;M. Naghshineh

  • Call admission control or adaptive multimedia in wireless/mobile networks

    Taekyoung Kwon;Yanghee Choi;Chatschik Bisdikian;Mahmoud Naghsineh

  • A Solicitation-based IEEE 802.11p MAC Protocol for Roadside to Vehicular Networks

    Nakjung Choi;Sungjoon Choi;Yongho Seok;Taekyoung Kwon

  • SARIF: A novel framework for integrating wireless sensor and RFID networks

    Jaekyu Cho;Yoonbo Shim;Taekyoung Kwon;Yanghee Choi

  • SCAN: Scalable Content Routing for Content-Aware Networking

    Munyoung Lee;Kideok Cho;Kunwoo Park;Taekyoung Kwon

  • Multiple mobile agents' itinerary planning in wireless sensor networks: survey and evaluation

    Xiaofei Wang;Min Chen;Taekyoung Kwon;Han-Chieh Chao

Frequent Co-Authors

Yanghee Choi
Yanghee Choi Seoul National University
Yong Ho Seok
Yong Ho Seok MediaTek (China)
Sangheon Pack
Sangheon Pack Korea University
Jeongkeun Lee
Jeongkeun Lee Intel (United States)
Min Chen
Min Chen South China University of Technology
Sung-Ju Lee
Sung-Ju Lee Korea Advanced Institute of Science and Technology
Sajal K. Das
Sajal K. Das Missouri University of Science and Technology
Mahmoud Naghshineh
Mahmoud Naghshineh IBM (United States)
Xiaofei Wang
Xiaofei Wang Tianjin University
Won Ho Kim
Won Ho Kim Yonsei University

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