World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
6069
World Ranking
12499
National Ranking
163

Hojung Cha 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 Hojung Cha 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: 218 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Hojung Cha 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 Hojung Cha 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Hojung Cha is affiliated with Yonsei University in South Korea and has a substantial body of research in the fields of engineering and computer science, with a particular focus on electrical and electronic engineering and automotive engineering.

Their research covers a range of topics centered around energy technologies and wireless networks. Key topics in their work include:

  • Advanced Battery Technologies Research
  • Energy Harvesting in Wireless Networks
  • Green IT and Sustainability
  • Electric Vehicles and Infrastructure
  • Caching and Content Delivery
  • Supercapacitor Materials and Fabrication
  • Advancements in Battery Materials

Hojung Cha has coauthored multiple papers with a number of collaborators, reflecting an active research network. Frequent coauthors include:

  • Junick Ahn
  • Jiwon Kim
  • Seunghyeok Jeon
  • Daeyong Kim
  • Rhan Ha

The primary publication venues for their work indicate an emphasis on circuit design, embedded systems, and mobile computing. Frequent venues are:

  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • ACM Transactions on Embedded Computing Systems
  • IEEE Internet of Things Journal
  • IEEE Transactions on Mobile Computing
  • Pervasive and Mobile Computing

Significant recent papers authored or coauthored by Hojung Cha include:

  • "Optrone: Maximizing Performance and Energy Resources of Drone Batteries," 2020, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • "Optimizing Energy Consumption of Mobile Games," 2021, IEEE Transactions on Mobile Computing
  • "State-of-Charge Estimation of Supercapacitors in Transiently-Powered Sensor Nodes," 2021, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • "Detecting Structural Anomalies of Quadcopter UAVs Based on LSTM Autoencoder," 2022, Pervasive and Mobile Computing
  • "Optimizing Discharge Efficiency of Reconfigurable Battery With Deep Reinforcement Learning," 2020, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Their research spans engineering disciplines with contributions primarily focused on energy systems for mobile and autonomous devices, battery optimization, and sensor technologies. The research also integrates elements of deep learning techniques applied to energy efficiency and battery management.

Best Publications

  • AppScope: application energy metering framework for android smartphones using kernel activity monitoring

    Chanmin Yoon;Dongwon Kim;Wonwoo Jung;Chulkoo Kang

  • LifeMap: A Smartphone-Based Context Provider for Location-Based Services

    John Chon;Hojung Cha

  • Automatically characterizing places with opportunistic crowdsensing using smartphones

    Yohan Chon;Nicholas D. Lane;Fan Li;Hojung Cha

  • Y-MAC: An Energy-Efficient Multi-channel MAC Protocol for Dense Wireless Sensor Networks

    Youngmin Kim;Hyojeong Shin;Hojung Cha

  • Unsupervised Construction of an Indoor Floor Plan Using a Smartphone

    Hyojeong Shin;Yohan Chon;Hojung Cha

  • Piggyback CrowdSensing (PCS): energy efficient crowdsourcing of mobile sensor data by exploiting smartphone app opportunities

    Nicholas D. Lane;Yohan Chon;Lin Zhou;Yongzhe Zhang

  • Mobility prediction-based smartphone energy optimization for everyday location monitoring

    Yohan Chon;Elmurod Talipov;Hyojeong Shin;Hojung Cha

  • Localizing WiFi Access Points Using Signal Strength

    Jahyoung Koo;Hojung Cha

  • DevScope: a nonintrusive and online power analysis tool for smartphone hardware components

    Wonwoo Jung;Chulkoo Kang;Chanmin Yoon;Donwon Kim

  • Smartphone-Based Collaborative and Autonomous Radio Fingerprinting

    Yungeun Kim;Yohan Chon;Hojung Cha

  • Understanding the coverage and scalability of place-centric crowdsensing

    Yohan Chon;Nicholas D. Lane;Yunjong Kim;Feng Zhao

  • Micro Sensor Node for Air Pollutant Monitoring: Hardware and Software Issues

    Sukwon Choi;Nakyoung Kim;Hojung Cha;Rhan Ha

  • RETOS: resilient, expandable, and threaded operating system for wireless sensor networks

    Hojung Cha;Sukwon Choi;Inuk Jung;Hyoseung Kim

  • Structural Health Monitoring system based on strain gauge enabled wireless sensor nodes

    Haksoo Choi;Sukwon Choi;Hojung Cha

  • Evaluating mobility models for temporal prediction with high-granularity mobility data

    Yohan Chon;Hyojeong Shin;Elmurod Talipov;Hojung Cha

  • Smartphone-based Wi-Fi pedestrian-tracking system tolerating the RSS variance problem

    Yungeun Kim;Hyojeong Shin;Hojung Cha

  • Inertial Sensor-Based Indoor Pedestrian Localization with Minimum 802.15.4a Configuration

    Seungwoo Lee;Byounggeun Kim;Hoon Kim;Rhan Ha

  • Smartphone-based Wi-Fi tracking system exploiting the RSS peak to overcome the RSS variance problem

    Yungeun Kim;Hyojeong Shin;Yohan Chon;Hojung Cha

  • Multi-hop-based Monte Carlo Localization for Mobile Sensor Networks

    Jiyoung Yi;Sungwon Yang;Hojung Cha

  • Unsupervised Locating of WiFi Access Points Using Smartphones

    Jahyoung Koo;Hojung Cha

Frequent Co-Authors

Feng Zhao
Feng Zhao Microsoft (United States)
Nicholas D. Lane
Nicholas D. Lane University of Cambridge
Wonjun Lee
Wonjun Lee Korea University
Jorg Henkel
Jorg Henkel Karlsruhe Institute of Technology
Hoon Kim
Hoon Kim Korea Advanced Institute of Science and Technology
Junehwa Song
Junehwa Song Korea Advanced Institute of Science and Technology
Tarek Abdelzaher
Tarek Abdelzaher University of Illinois at Urbana-Champaign
Edwin H.-M. Sha
Edwin H.-M. Sha East China Normal University
Jaideep Srivastava
Jaideep Srivastava University of Minnesota

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