World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
6346
World Ranking
10203
National Ranking
130

Jihong Park 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 Jihong Park 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: 249 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Jihong Park 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 Jihong Park 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Jihong Park is affiliated with the Singapore University of Technology and Design in Singapore. Their research primarily spans across the fields of Computer Science and Engineering, with a significant focus on artificial intelligence and communication technologies.

Their work covers several subfields including:

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Aerospace Engineering
  • Computer Vision and Pattern Recognition

The main research topics addressed by Jihong Park include:

  • Privacy-Preserving Technologies in Data
  • Wireless Signal Modulation Classification
  • Stochastic Gradient Optimization Techniques
  • Wireless Communication Security Techniques
  • UAV Applications and Optimization
  • Satellite Communication Systems
  • Age of Information Optimization

Jihong Park has published extensively, particularly in venues such as arXiv (Cornell University), where they have 84 publications. Other frequent publication venues with multiple contributions include:

  • IEEE Transactions on Communications
  • IEEE Wireless Communications Letters
  • IEEE Transactions on Vehicular Technology
  • IEEE Internet of Things Journal

Selected recent papers by Jihong Park include:

  • Extreme ultra-reliable and low-latency communication, 2022, Nature Electronics
  • Extreme URLLC: Vision, Challenges, and Key Enablers, 2020, arXiv (Cornell University)

Other notable papers from their network include works authored by collaborators, such as:

  • RIS-Assisted Coverage Enhancement in Millimeter-Wave Cellular Networks, 2020, IEEE Access
  • Integrating LEO Satellites and Multi-UAV Reinforcement Learning for Hybrid FSO/RF Non-Terrestrial Networks, 2022, IEEE Transactions on Vehicular Technology
  • Communication-Efficient Multimodal Split Learning for mmWave Received Power Prediction, 2020, IEEE Communications Letters

Jihong Park frequently collaborates with several co-authors, including:

  • Mehdi Bennis
  • Jinho Choi
  • Seong-Lyun Kim
  • Joongheon Kim
  • Won Joon Yun

Best Publications

  • Blockchained On-Device Federated Learning

    Hyesung Kim;Jihong Park;Mehdi Bennis;Seong-Lyun Kim

  • Wireless Network Intelligence at the Edge

    Jihong Park;Sumudu Samarakoon;Mehdi Bennis;Merouane Debbah

  • Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data.

    Eunjeong Jeong;Seungeun Oh;Hyesung Kim;Jihong Park

  • Wireless Access for Ultra-Reliable Low-Latency Communication: Principles and Building Blocks

    Petar Popovski;Jimmy J. Nielsen;Cedomir Stefanovic;Elisabeth de Carvalho

  • Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications

    Jihong Park;Sumudu Samarakoon;Anis Elgabli;Joongheon Kim

  • Wireless Edge Computing With Latency and Reliability Guarantees

    Mohammed S. Elbamby;Cristina Perfecto;Chen-Feng Liu;Jihong Park

  • Towards Enabling Critical mMTC: A Review of URLLC Within mMTC

    Shiva Raj Pokhrel;Jie Ding;Jihong Park;Ok-Sun Park

  • Extreme ultra-reliable and low-latency communication

    Unknown

  • Tractable Resource Management With Uplink Decoupled Millimeter-Wave Overlay in Ultra-Dense Cellular Networks

    Jihong Park;Seong-Lyun Kim;Jens Zander

  • RIS-Assisted Coverage Enhancement in Millimeter-Wave Cellular Networks

    Mahyar Nemati;Jihong Park;Jinho Choi

  • Extreme URLLC: Vision, Challenges, and Key Enablers.

    Jihong Park;Sumudu Samarakoon;Hamid Shiri;Mohamed K. Abdel-Aziz

  • Federated Knowledge Distillation.

    Hyowoon Seo;Jihong Park;Seungeun Oh;Mehdi Bennis

  • Communication-Efficient Massive UAV Online Path Control: Federated Learning Meets Mean-Field Game Theory

    Hamid Shiri;Jihong Park;Mehdi Bennis

  • On-Device Federated Learning via Blockchain and its Latency Analysis.

    Hyesung Kim;Jihong Park;Mehdi Bennis;Seong-Lyun Kim

  • Stochastic Geometric Coverage Analysis in mmWave Cellular Networks With Realistic Channel and Antenna Radiation Models

    Mattia Rebato;Jihong Park;Petar Popovski;Elisabeth De Carvalho

  • URLLC-eMBB Slicing to Support VR Multimodal Perceptions over Wireless Cellular Systems

    Jihong Park;Mehdi Bennis

  • Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning

    Anis Elgabli;Jihong Park;Chaouki Ben Issaid;Mehdi Bennis

  • Semantics-Native Communication via Contextual Reasoning

    Unknown

  • Massive Autonomous UAV Path Planning: A Neural Network Based Mean-Field Game Theoretic Approach

    Hamid Shiri;Jihong Park;Mehdi Bennis

  • Asymptotic behavior of ultra-dense cellular networks and its economic impact

    Jihong Park;Seong-Lyun Kim;Jens Zander

  • GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning

    Anis Elgabli;Jihong Park;Amrit S. Bedi;Mehdi Bennis

  • Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning

    Anis Elgabli;Jihong Park;Amrit Singh Bedi;Chaouki Ben Issaid

  • Communication-Efficient Multimodal Split Learning for mmWave Received Power Prediction

    Yusuke Koda;Jihong Park;Mehdi Bennis;Koji Yamamoto

  • XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning.

    Myungjae Shin;Chihoon Hwang;Joongheon Kim;Jihong Park

  • Wireless Network Intelligence at the Edge

    Jihong Park;Sumudu Samarakoon;Mehdi Bennis;Mérouane Debbah

Frequent Co-Authors

Mehdi Bennis
Mehdi Bennis University of Oulu
Seong-Lyun Kim
Seong-Lyun Kim Yonsei University
Merouane Debbah
Merouane Debbah Khalifa University
Petar Popovski
Petar Popovski Aalborg University
Jinho Choi
Jinho Choi University of Adelaide
Jens Zander
Jens Zander Royal Institute of Technology
Wan Choi
Wan Choi Seoul National University
Vaneet Aggarwal
Vaneet Aggarwal Purdue University West Lafayette
Joongheon Kim
Joongheon Kim Korea University
Michele Zorzi
Michele Zorzi University of Padua

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