World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
5729
World Ranking
12073
National Ranking
155

Kijun Han 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 Kijun Han 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.

Kijun Han 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 Kijun Han 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Kijun Han is affiliated with Kyungpook National University in South Korea. Their research spans multiple domains within engineering and computer science, with a focus on areas such as electrical and electronic engineering, computer networks and communications, and automotive engineering.

The scientist has contributed significantly to topics related to IoT and edge/fog computing, smart grid energy management, green IT and sustainability, autonomous vehicle technology and safety, building energy and comfort optimization, smart cities and technologies, as well as traffic control and management.

Among their recent publications are:

  • "Futuristic Sustainable Energy Management in Smart Environments: A Review of Peak Load Shaving and Demand Response Strategies, Challenges, and Opportunities," 2020, Sustainability
  • "A Multi-Objective Approach for Optimal Energy Management in Smart Home Using the Reinforcement Learning," 2020, Sensors
  • "Deep Learning Entrusted to Fog Nodes (DLEFN) Based Smart Agriculture," 2020, Applied Sciences
  • "Intelligent Internet of Things gateway supporting heterogeneous energy data management and processing," 2020, Transactions on Emerging Telecommunications Technologies
  • "Algorithmic implementation of deep learning layer assignment in edge computing based smart city environment," 2020, Computers & Electrical Engineering

The scientist frequently publishes in several venues, notably:

  • Applied Sciences
  • Sustainability
  • Sensors
  • KIISE Transactions on Computing Practices
  • Transactions on Emerging Telecommunications Technologies

In collaboration, Kijun Han has worked extensively with co-authors including Bhagya Nathali Silva, Muhammad Diyan, Murad Khan, Kyuchang Lee, and Jihun Han. These collaborations reflect shared research interests and contributions across various projects.

Best Publications

  • Towards sustainable smart cities: A review of trends, architectures, components, and open challenges in smart cities

    Bhagya Nathali Silva;Murad Khan;Kijun Han

  • Enhanced Network Anomaly Detection Based on Deep Neural Networks

    Sheraz Naseer;Yasir Saleem;Shehzad Khalid;Muhammad Khawar Bashir

  • Internet of Things: A Comprehensive Review of Enabling Technologies, Architecture, and Challenges

    Bhagya Nathali Silva;Murad Khan;Kijun Han

  • Performance analysis of the IEEE 802.16 wireless metropolitan area network

    Dong-Hoon Cho;Jung-Hoon Song;Min-Su Kim;Ki-Jun Han

  • Internet of Things Based Energy Aware Smart Home Control System

    Murad Khan;Bhagya Nathali Silva;Kijun Han

  • Semantic Interoperability in Heterogeneous IoT Infrastructure for Healthcare

    Sohail Jabbar;Farhan Ullah;Shehzad Khalid;Murad Khan

  • Cyber Threat Detection Based on Artificial Neural Networks Using Event Profiles

    Jonghoon Lee;Jonghyun Kim;Ikkyun Kim;Kijun Han

  • Analysis of latency performance of bluetooth low energy (BLE) networks.

    Keuchul Cho;Woojin Park;Moonki Hong;Gisu Park

  • Urban Planning and Smart City Decision Management Empowered by Real-Time Data Processing Using Big Data Analytics.

    Bhagya Nathali Silva;Murad Khan;Changsu Jung;Jihun Seo

  • Big Data Analytics Embedded Smart City Architecture for Performance Enhancement through Real-Time Data Processing and Decision-Making

    Bhagya Nathali Silva;Murad Khan;Kijun Han

  • Integration of Big Data analytics embedded smart city architecture with RESTful web of things for efficient service provision and energy management

    Bhagya Nathali Silva;Murad Khan;Kijun Han

  • A REST-based industrial web of things’ framework for smart warehousing

    Sohail Jabbar;Murad Khan;Bhagya Nathali Silva;Kijun Han

  • IoT-based students interaction framework using attention-scoring assessment in eLearning

    Muhammad Farhan;Muhammad Farhan;Sohail Jabbar;Sohail Jabbar;Sohail Jabbar;Muhammad Aslam;Mohammad Hammoudeh

  • Performance analysis of device discovery of Bluetooth Low Energy (BLE) networks

    Keuchul Cho;Gisu Park;Wooseong Cho;Ji Hun Seo

  • A clustering based routing algorithm in IoT aware Wireless Mesh Networks

    Jilong Li;Bhagya Nathali Silva;Muhammad Diyan;Zhenbo Cao

  • A clustering method for energy efficient routing in wireless sensor networks

    Taewook Kang;Jangkyu Yun;Hoseung Lee;Icksoo Lee

  • An Optimized Network Selection and Handover Triggering Scheme for Heterogeneous Self-Organized Wireless Networks

    Murad Khan;Kijun Han

  • A power efficient routing protocol based on balanced tree in wireless sensor networks

    Hyun-sook Kim;Ki-jun Han

  • Mutation operator integrated ant colony optimization based domestic appliance scheduling for lucrative demand side management

    Bhagya Nathali Silva;Kijun Han

  • Designing Smart Control Systems Based on Internet of Things and Big Data Analytics

    Murad Khan;Kijun Han;S. Karthik

Frequent Co-Authors

Sohail Jabbar
Sohail Jabbar Manchester Metropolitan University
Shehzad Khalid
Shehzad Khalid Bahria University
Sang Hoon Ahn
Sang Hoon Ahn Yonsei University
Kwang Hyub Han
Kwang Hyub Han Yonsei University
Munam Ali Shah
Munam Ali Shah COMSATS University Islamabad
Muhammad Ali Babar
Muhammad Ali Babar University of Adelaide
Muhammad Khurram Khan
Muhammad Khurram Khan King Saud University
Mala K. Maini
Mala K. Maini University College London
Anna Maria Geretti
Anna Maria Geretti University of Liverpool
Muhammad Riaz
Muhammad Riaz South China Agricultural University

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