World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
58
Citations
12072
World Ranking
3664
National Ranking
21

Uichin Lee 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 Uichin Lee 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: 223 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Uichin Lee 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 Uichin Lee 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: 58 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Overview

Uichin Lee is affiliated with the Korea Advanced Institute of Science and Technology in South Korea. Their research spans primarily within the fields of computer science and psychology, with a strong interdisciplinary focus.

The main fields of study for their work include:

  • Computer Science
  • Psychology

Within these fields, the subfields addressed encompass:

  • Experimental and Cognitive Psychology
  • Applied Psychology
  • Sociology and Political Science
  • Human-Computer Interaction
  • Artificial Intelligence

Their research engages deeply with several core topics, notably:

  • Emotion and Mood Recognition
  • Digital Mental Health Interventions
  • Innovative Human-Technology Interaction
  • Impact of Technology on Adolescents
  • Personal Information Management and User Behavior
  • Context-Aware Activity Recognition Systems
  • Mental Health Research Topics

Uichin Lee has contributed frequently to a range of academic venues. The most common platforms for publication include:

  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • Proceedings of the ACM on Human-Computer Interaction
  • Zenodo (CERN European Organization for Nuclear Research)
  • JMIR mhealth and uhealth
  • IEEE Access

Frequent collaborators in their research consist of:

  • Ahsan H. Khandoker
  • Auk Kim
  • Leontios J. Hadjileontiadis
  • Cheul Young Park
  • Soowon Kang

Representative recent publications include:

  • "K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations" (2020), published in Zenodo (CERN European Organization for Nuclear Research)
  • "Digital public health and COVID-19" (2020), published in The Lancet Public Health
  • "Too Much Information: Assessing Privacy Risks of Contact Trace Data Disclosure on People With COVID-19 in South Korea" (2020), published in Frontiers in Public Health
  • "Hello There! Is Now a Good Time to Talk?" (2020), published in Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • "LSTM-Modeling of Emotion Recognition Using Peripheral Physiological Signals in Naturalistic Conversations" (2022), published in IEEE Journal of Biomedical and Health Informatics

Best Publications

  • Internet of vehicles: From intelligent grid to autonomous cars and vehicular clouds

    Mario Gerla;Eun-Kyu Lee;Giovanni Pau;Uichin Lee

  • Automatic identification of user goals in Web search

    Uichin Lee;Zhenyu Liu;Junghoo Cho

  • Mobeyes: smart mobs for urban monitoring with a vehicular sensor network

    Uichin Lee;Biao Zhou;M. Gerla;E. Magistretti

  • Survey of Routing Protocols in Vehicular Ad Hoc Networks

    Kevin C. Lee;Uichin Lee;Mario Gerla

  • Code torrent: content distribution using network coding in VANET

    Uichin Lee;Joon-Sang Park;Joseph Yeh;Giovanni Pau

  • VAPR: Void-Aware Pressure Routing for Underwater Sensor Networks

    Youngtae Noh;Uichin Lee;P. Wang;Brian Sung Chul Choi

  • Pressure Routing for Underwater Sensor Networks

    Uichin Lee;Paul Wang;Youngtae Noh;Luiz F. M. Vieira

  • A survey of urban vehicular sensing platforms

    Uichin Lee;Mario Gerla

  • Dissemination and Harvesting of Urban Data Using Vehicular Sensing Platforms

    Uichin Lee;E. Magistretti;M. Gerla;P. Bellavista

  • K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations

    Cheul Young Park;Narae Cha;Soowon Kang;Auk Kim

  • Enhanced Perimeter Routing for Geographic Forwarding Protocols in Urban Vehicular Scenarios

    K.C. Lee;J. Haerri;Uichin Lee;M. Gerla

  • Hooked on smartphones: an exploratory study on smartphone overuse among college students

    Uichin Lee;Joonwon Lee;Minsam Ko;Changhun Lee

  • Internet of Vehicles: From intelligent grid to autonomous cars and vehicular fogs:

    Eun-Kyu Lee;Eun-Kyu Lee;Mario Gerla;Giovanni Pau;Uichin Lee

  • HydroCast: Pressure Routing for Underwater Sensor Networks

    Youngtae Noh;Uichin Lee;Saewoom Lee;Paul Wang

  • First Experience with CarTorrent in a Real Vehicular Ad Hoc Network Testbed

    K.C. Lee;Seung-Hoon Lee;Ryan Cheung;Uichin Lee

  • FleaNet: A Virtual Market Place on Vehicular Networks

    Uichin Lee;Jiyeon Lee;Joon-Sang Park;M. Gerla

  • NUGU: A Group-based Intervention App for Improving Self-Regulation of Limiting Smartphone Use

    Minsam Ko;Subin Yang;Joonwon Lee;Christian Heizmann

  • Greening the internet with content-centric networking

    Uichin Lee;Ivica Rimac;Volker Hilt

  • Emergency related video streaming in VANET using network coding

    Joon-Sang Park;Uichin Lee;Soon Y. Oh;Mario Gerla

  • DOTS: A Propagation Delay-AwareOpportunistic MAC Protocol for MobileUnderwater Networks

    Youngtae Noh;Uichin Lee;Seongwon Han;Paul Wang

  • BlueTorrent: Cooperative Content Sharing for Bluetooth Users

    Sewook Jung;Uichin Lee;A. Chang;Dae-Ki Cho

Frequent Co-Authors

Mario Gerla
Mario Gerla University of California, Los Angeles
Junehwa Song
Junehwa Song Korea Advanced Institute of Science and Technology
Luiz F. M. Vieira
Luiz F. M. Vieira Universidade Federal de Minas Gerais
Paolo Bellavista
Paolo Bellavista University of Bologna
Kang-Won Lee
Kang-Won Lee IBM (United States)
Giovanni Pau
Giovanni Pau University of California, Los Angeles
Antonio Corradi
Antonio Corradi University of Bologna
Koji Yatani
Koji Yatani University of Tokyo
Jinwoo Lee
Jinwoo Lee Korea Advanced Institute of Science and Technology

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

Studying Computer Science in the USA opens doors to a wide range of online degree options and career pathways. Many students choose to expand their skills with related programs such as online electrical engineering, where online electrical engineering career outcomes include roles in tech, telecommunications, and robotics.

If you’re interested in a quicker route to high-paying jobs, consider short certificate programs that pay well. These certifications can jumpstart your career in fields like IT support, cybersecurity, and business analysis, often in less than a year.

For those aiming to level up their education quickly, check out the fastest masters degree online options. Accelerated programs in computer science, information technology, and data analytics can be completed in as little as 12-18 months.

Choosing one of the most in demand masters degrees gives graduates a competitive edge in the job market. Degrees in artificial intelligence, software engineering, and machine learning are highly sought after by employers worldwide.

Best Scientists Citing Uichin Lee

Trending Scientists

Recently Published Articles