World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
8934
World Ranking
7163
National Ranking
947

Tai-hoon Kim publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Tai-hoon Kim sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 679 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Tai-hoon Kim D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Tai-hoon Kim sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Tai-hoon Kim is affiliated with Beijing Jiaotong University in China. Their research primarily spans the fields of Computer Science and Engineering, with a focus on subfields such as Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition, and Electrical and Electronic Engineering.

The main topics addressed in their work include:

  • Blockchain Technology Applications and Security
  • IoT and Edge/Fog Computing
  • Cryptography and Data Security
  • Advanced Malware Detection Techniques
  • Privacy-Preserving Technologies in Data
  • Vehicular Ad Hoc Networks (VANETs)
  • Network Security and Intrusion Detection

Tai-hoon Kim has published extensively, contributing to journals and conferences such as IEEE Access, Scientific Reports, PeerJ Computer Science, Asia-pacific Journal of Convergent Research Interchange, and IEEE Internet of Things Journal. Notable recent papers include:

  • Electrochemical Sensors for Heavy Metal Ion Detection in Aqueous Medium: A Systematic Review (2024, ACS Omega)
  • Machine and Deep Learning Solutions for Intrusion Detection and Prevention in IoTs: A Survey (2022, IEEE Access)
  • A Taxonomy of Security Issues in Industrial Internet-of-Things: Scoping Review for Existing Solutions, Future Implications, and Research Challenges (2021, IEEE Access)
  • Blockchain-Based Data Storage With Privacy and Authentication in Internet of Things (2020, IEEE Internet of Things Journal)
  • Secure Device-to-Device Communications for 5G Enabled Internet of Things Applications (2021, Computer Communications)

Frequent collaborators with Tai-hoon Kim include Gulshan Kumar, Rahul Saha, Debnath Bhattacharyya, Mauro Conti, and Reji Thomas. The number of joint publications ranges from 11 to 33 per coauthor, indicating ongoing research partnerships.

Best Publications

  • Smart City and IoT

    Tai-hoon Kim;Carlos Ramos;Sabah Mohammed

  • Use of Artificial Neural Network in Pattern Recognition

    April April April;Jayanta Kumar Basu;Debnath Bhattacharyya;Tai-Hoon Kim

  • A Review on Security in Smart Home Development

    Rosslin John Robles;Tai-hoon Kim

  • Application of Genetic Algorithm in Software Testing

    Praveen Ranjan Srivastava;Tai-hoon Kim

  • A Comparative Study of Wireless Sensor Networks and Their Routing Protocols

    Debnath Bhattacharyya;Tai-hoon Kim;Subhajit Pal

  • An Efficient Edge Detection Approach to Provide Better Edge Connectivity for Image Analysis

    Mamta Mittal;Amit Verma;Iqbaldeep Kaur;Bhavneet Kaur

  • A Dimensionality Reduction-Based Multi-Step Clustering Method for Robust Vessel Trajectory Analysis

    Huanhuan Li;Jingxian Liu;Ryan Wen Liu;Naixue Xiong

  • Face Recognition Using Neural Network : A Review

    Manisha M. Kasar;Debnath Bhattacharyya;Tai-hoon Kim

  • Applications, Systems and Methods in Smart Home Technology: A Review

    Rosslin John Robles;Tai-hoon Kim

  • Proof-of-Work Consensus Approach in Blockchain Technology for Cloud and Fog Computing Using Maximization-Factorization Statistics

    Gulshan Kumar;Rahul Saha;Mritunjay Kumar Rai;Reji Thomas

  • Data Hiding in Audio Signal: A Review

    Poulami Dutta;Debnath Bhattacharyya;Tai-hoon Kim

  • A Novel Trust Evaluation Process for Secure Localization Using a Decentralized Blockchain in Wireless Sensor Networks

    Tai-Hoon Kim;Rekha Goyat;Mritunjay Kumar Rai;Gulshan Kumar

  • Advances in Computer Science and Information Technology

    Tai-Hoon Kim;Hojjat Adeli

  • Linear Correlation-Based Feature Selection for Network Intrusion Detection Model

    Heba F. Eid;Aboul Ella Hassanien;Tai-hoon Kim;Soumya Banerjee

  • Brain Tumor Detection Using MRI Image Analysis

    Debnath Bhattacharyya;Tai-hoon Kim

  • A Greedy Deep Learning Method for Medical Disease Analysis

    Chunxue Wu;Chong Luo;Naixue Xiong;Wei Zhang

  • Dynamic power management in new architecture of wireless sensor networks

    Chuan Lin;Naixue Xiong;Jong Hyuk Park;Tai-hoon Kim

  • Decentralized accessibility of e-commerce products through blockchain technology

    Gulshan Kumar;Rahul Saha;William J. Buchanan;G. Geetha

  • A Taxonomy of Security Issues in Industrial Internet-of-Things: Scoping Review for Existing Solutions, Future Implications, and Research Challenges

    Pls Jayalaxmi;Rahul Saha;Gulshan Kumar;Neeraj Kumar

  • Breast cancer MRI diagnosis approach using support vector machine and pulse coupled neural networks

    Aboul Ella Hassanien;Tai-hoon Kim

  • A Survey of Consistency Checking Techniques for UML Models

    M. Usman;A. Nadeem;Tai-hoon Kim;Eun-suk Cho

Frequent Co-Authors

Aboul Ella Hassanien
Aboul Ella Hassanien Cairo University
Jong Hyuk Park
Jong Hyuk Park Seoul National University of Science and Technology
Dominik Ślęzak
Dominik Ślęzak University of Warsaw
Jemal H. Abawajy
Jemal H. Abawajy Deakin University
Hojjat Adeli
Hojjat Adeli The Ohio State University
Jianhua Ma
Jianhua Ma Hosei University
Changhoon Lee
Changhoon Lee Seoul National University
Muhammad Khurram Khan
Muhammad Khurram Khan King Saud University
Yanchun Zhang
Yanchun Zhang Victoria University
Laurence T. Yang
Laurence T. Yang St. Francis Xavier University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring a Computer Science degree in the USA often leads to discovering a variety of related online programs and career directions. For those seeking flexibility, an accelerated cs degree can help students graduate quicker and start their careers sooner, making it an appealing choice for motivated learners.

Computer Science also intersects with interdisciplinary fields. Graduates interested in environmental solutions might explore environmental engineering degrees online, which offer accessible routes to careers focused on sustainability, design, and innovation. Some may consider mechanical engineering degree online cost as a key factor when choosing between related STEM pathways, ensuring a practical and affordable educational investment.

Finally, if you’re interested in blending technology, education, and environmental stewardship, explore jobs with elementary education and environmental science degree. This path allows you to inspire future generations while addressing crucial issues like climate change and ecological literacy. Each of these pathways opens new doors for rewarding and diverse tech-driven careers.

Best Scientists Citing Tai-hoon Kim

Trending Scientists

Recently Published Articles