World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
6818
World Ranking
10626
National Ranking
320

Jiong Jin 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 Jiong Jin 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: 186 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Jiong Jin 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 Jiong Jin 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Jiong Jin is affiliated with Swinburne University of Technology in Australia. Their research spans the fields of Computer Science and Engineering, with a specific focus on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Information Systems, and Aerospace Engineering.

Their main research topics include:

  • IoT and Edge/Fog Computing
  • Network Security and Intrusion Detection
  • Privacy-Preserving Technologies in Data
  • Anomaly Detection Techniques and Applications
  • Satellite Communication Systems
  • Opportunistic and Delay-Tolerant Networks
  • Vehicular Ad Hoc Networks (VANETs)

Jiong Jin has contributed papers to a variety of publication venues, with frequent appearances in:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE Transactions on Industrial Informatics
  • IEEE Journal on Selected Areas in Communications
  • IEEE Transactions on Network Science and Engineering

Among recent publications coauthored by Jiong Jin are:

  • A comprehensive survey of anomaly detection techniques for high dimensional big data, 2020, Journal Of Big Data
  • Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses, 2021, IEEE Transactions on Industrial Informatics
  • Resource Allocation and Service Provisioning in Multi-Agent Cloud Robotics: A Comprehensive Survey, 2021, IEEE Communications Surveys & Tutorials
  • Task Offloading With Multi-Tier Computing Resources in Next Generation Wireless Networks, 2022, IEEE Journal on Selected Areas in Communications
  • Efficient Human Activity Recognition Using a Single Wearable Sensor, 2020, IEEE Internet of Things Journal

Frequent collaborators of Jiong Jin include:

  • Zhishu Shen
  • Tiehua Zhang
  • Xi Zheng
  • Youhua Xia
  • Jinze Wang

Best Publications

  • An Information Framework for Creating a Smart City Through Internet of Things

    Jiong Jin;Jayavardhana Gubbi;Slaven Marusic;Marimuthu Palaniswami

  • A comprehensive survey of anomaly detection techniques for high dimensional big data

    Srikanth Thudumu;Philip Branch;Jiong Jin;Jugdutt Jack Singh

  • PPFA: Privacy Preserving Fog-Enabled Aggregation in Smart Grid

    Lingjuan Lyu;Karthik Nandakumar;Ben Rubinstein;Jiong Jin

  • Robust Motion Control of a Linear Motor Positioner Using Fast Nonsingular Terminal Sliding Mode

    Jinchuan Zheng;Hai Wang;Zhihong Man;Jiong Jin

  • Collective Behaviors of Mobile Robots Beyond the Nearest Neighbor Rules With Switching Topology

    Boda Ning;Qing-Long Han;Zongyu Zuo;Jiong Jin

  • Towards Fair and Privacy-Preserving Federated Deep Models

    Lingjuan Lyu;Jiangshan Yu;Karthik Nandakumar;Yitong Li

  • Robust Adaptive Sliding-Mode Observer Using RBF Neural Network for Lithium-Ion Battery State of Charge Estimation in Electric Vehicles

    Xiaopeng Chen;Weixiang Shen;Mingxiang Dai;Zhenwei Cao

  • Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses

    Yao Deng;Tiehua Zhang;Guannan Lou;Xi Zheng

  • Resource Allocation and Service Provisioning in Multi-Agent Cloud Robotics: A Comprehensive Survey

    Mahbuba Afrin;Jiong Jin;Akhlaqur Rahman;Ashfaqur Rahman

  • Network architecture and QoS issues in the internet of things for a smart city

    Jiong Jin;Jayavardhana Gubbi;Tie Luo;Marimuthu Palaniswami

  • EHOPES: Data-centered Fog platform for smart living

    Jianhua Li;Jiong Jin;Dong Yuan;Marimuthu Palaniswami

  • Cyber security framework for Internet of Things-based Energy Internet

    Abubakar Sadiq Sani;Dong Yuan;Jiong Jin;Longxiang Gao

  • Finite-time and fixed-time leader-following consensus for multi-agent systems with discontinuous inherent dynamics

    Boda Ning;Jiong Jin;Jinchuan Zheng;Zhihong Man

  • Fog-Empowered Anomaly Detection in IoT Using Hyperellipsoidal Clustering

    Lingjuan Lyu;Jiong Jin;Sutharshan Rajasegarar;Xuanli He

  • Robust control for steer-by-wire systems with partially known dynamics

    Hai Wang;Zhihong Man;Weixiang Shen;Zhenwei Cao

  • Multi-objective resource allocation for Edge Cloud based robotic workflow in smart factory

    Mahbuba Afrin;Jiong Jin;Ashfaqur Rahman;Yu-Chu Tian

  • An Intelligent Task Allocation Scheme for Multihop Wireless Networks

    Yichao Jin;Jiong Jin;A. Gluhak;K. Moessner

  • Task Offloading With Multi-Tier Computing Resources in Next Generation Wireless Networks

    Unknown

  • Distributed Real-Time IoT for Autonomous Vehicles

    Bigi Varghese Philip;Tansu Alpcan;Jiong Jin;Marimuthu Palaniswami

  • A Survey on Anomalous Behavior Detection for Elderly Care Using Dense-Sensing Networks

    Samundra Deep;Xi Zheng;Chandan Karmakar;Dongjin Yu

  • Virtual Fog: A Virtualization Enabled Fog Computing Framework for Internet of Things

    Jianhua Li;Jiong Jin;Dong Yuan;Hongke Zhang

  • Novel feature selection and classification of Internet video traffic based on a hierarchical scheme

    Yu-ning Dong;Jia-jie Zhao;Jiong Jin

Frequent Co-Authors

Marimuthu Palaniswami
Marimuthu Palaniswami University of Melbourne
Zhihong Man
Zhihong Man Swinburne University of Technology
Jinchuan Zheng
Jinchuan Zheng Swinburne University of Technology
Xi Zheng
Xi Zheng Macquarie University
Longxiang Gao
Longxiang Gao Deakin University
Lingjuan Lyu
Lingjuan Lyu National University of Singapore
Shui Yu
Shui Yu University of Technology Sydney
Qing-Long Han
Qing-Long Han Swinburne University of Technology
Yong Xiang
Yong Xiang Deakin University
Bhaskar Krishnamachari
Bhaskar Krishnamachari University of Southern California

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 computer science doesn’t have to be limited to traditional, on-campus programs. There are many affordable and flexible options, including cheap online degrees fast for those seeking budget-friendly paths to a degree. These programs can help you save time and money while still gaining valuable skills.

Worried about your academic record? There are options for students with varied backgrounds and GPAs. You can find a college that accepts low gpa, making it possible to start your computer science journey even if your grades aren’t perfect.

If you’re interested in branching out, technology knowledge pairs well with fields like environmental science. This mix opens up new opportunities—learn more about jobs for environmental science majors that can benefit from computer science skills.

For those who want to accelerate their career, you can consider a computer science accelerated program. These intensive courses allow you to complete your degree faster and enter the workforce sooner.

Best Scientists Citing Jiong Jin

Trending Scientists

Recently Published Articles