World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
6408
World Ranking
11146
National Ranking
30

Peter Han Joo Chong 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 Peter Han Joo Chong 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: 320 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Peter Han Joo Chong 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 Peter Han Joo Chong 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Peter Han Joo Chong is affiliated with Auckland University of Technology in New Zealand. Their research spans primarily across the fields of Computer Science and Engineering, with extensive work in numerous subfields such as Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Biomedical Engineering, and Artificial Intelligence.

Their published work reflects a strong focus on topics including Vehicular Ad Hoc Networks (VANETs), Millimeter-Wave Propagation and Modeling, Advanced MIMO Systems Optimization, COVID-19 epidemiological studies, Opportunistic and Delay-Tolerant Networks, Energy Efficient Wireless Sensor Networks, and impacts related to the COVID-19 pandemic.

Frequent co-authors in their research collaborations include G. G. Md. Nawaz Ali, Xue Jun Li, Minglong Zhang, Arun Kumar, and Duaa Zuhair Al-Hamid.

Peter Han Joo Chong has contributed a significant number of publications in various scholarly venues. The most frequent publication venues are:

  • Sensors
  • IEEE Communications Magazine
  • Future Internet
  • Preprints.org
  • arXiv (Cornell University)

Recent papers authored by Peter Han Joo Chong include:

  • Sensor Technologies for Fall Detection Systems: A Review (2020), published in IEEE Sensors Journal
  • Multi-Resident Non-Contact Vital Sign Monitoring Using Radar: A Review (2020), published in IEEE Sensors Journal
  • Feeling Positive About Reopening? New Normal Scenarios From COVID-19 US Reopen Sentiment Analytics (2020), published in IEEE Access
  • Forecasting spread of COVID-19 using google trends: A hybrid GWO-deep learning approach (2020), published in Chaos Solitons & Fractals
  • Socioeconomic factors analysis for COVID-19 US reopening sentiment with Twitter and census data (2021), published in Heliyon

Best Publications

  • A survey of clustering schemes for mobile ad hoc networks

    J.Y. Yu;P.H.J. Chong

  • Precise Two‐Photon Photodynamic Therapy using an Efficient Photosensitizer with Aggregation‐Induced Emission Characteristics

    Bobo Gu;Wenbo Wu;Gaixia Xu;Guangxue Feng

  • Visible Light Communication: A System Perspective-Overview and Challenges.

    Saeed Ur Rehman;Shakir Ullah;Peter Han Joo Chong;Sira Yongchareon

  • Broadband Wide‐Angle Multifunctional Polarization Converter via Liquid‐Metal‐Based Metasurface

    Pin Chieh Wu;Weiming Zhu;Zhong Xiang Shen;Peter Han Joo Chong

  • Modeling and Performance Analysis of Clustered Device-to-Device Networks

    Mehrnaz Afshang;Harpreet S. Dhillon;Peter Han Joo Chong

  • Water-Resonator-Based Metasurface: An Ultrabroadband and Near-Unity Absorption

    Qinghua Song;Qinghua Song;Wu Zhang;Wu Zhang;Pin Chieh Wu;Weiming Zhu

  • Sensor Technologies for Fall Detection Systems: A Review

    Anuradha Singh;Saeed Ur Rehman;Sira Yongchareon;Peter Han Joo Chong

  • Multihop cellular networks: Technology and economics

    Xue Jun Li;Boon-Chong Seet;Peter Han Joo Chong

  • 3hBAC (3-hop between adjacent clusterheads): a novel non-overlapping clustering algorithm for mobile ad hoc networks

    J.Y. Yu;P.H.J. Chong

  • Fundamentals of Cluster-Centric Content Placement in Cache-Enabled Device-to-Device Networks

    Mehrnaz Afshang;Harpreet S. Dhillon;Peter Han Joo Chong

  • Multi-Resident Non-Contact Vital Sign Monitoring Using Radar: A Review

    Anuradha Singh;Saeed Ur Rehman;Sira Yongchareon;Peter Han Joo Chong

  • Poisson Hole Process: Theory and Applications to Wireless Networks

    Zeinab Yazdanshenasan;Harpreet S. Dhillon;Mehrnaz Afshang;Peter H. J. Chong

  • Design and implementation of Bluetooth energy meter

    B.S. Koay;S.S. Cheah;Y.H. Sng;P.H.J. Chong

  • An Energy-Efficient Region-Based RPL Routing Protocol for Low-Power and Lossy Networks

    Ming Zhao;Ivan Wang-Hei Ho;Peter Han Joo Chong

  • A Comprehensive Study of IoT and WSN MAC Protocols: Research Issues, Challenges and Opportunities

    Arun Kumar;Ming Zhao;Kai-Juan Wong;Yong Liang Guan

  • Microstructure and wear properties of laser surface-cladded Mo–WC MMC on AA6061 aluminum alloy

    P.H Chong;H.C Man;T.M Yue

  • Efficient data dissemination in cooperative multi-RSU Vehicular Ad Hoc Networks (VANETs)

    G.G.Md. Nawaz Ali;Peter Han Joo Chong;Syeda Khairunnesa Samantha;Edward Chan

  • Location-Based Routing Protocols for Wireless Sensor Networks: A Survey

    Arun Kumar;Hnin Yu Shwe;Kai Juan Wong;Peter H. J. Chong

  • Feeling Positive About Reopening? New Normal Scenarios From COVID-19 US Reopen Sentiment Analytics

    Jim Samuel;Md. Mokhlesur Rahman;G. G. Md. Nawaz Ali;Yana Samuel

  • Fundamental understanding of the corrosion performance of laser-melted metallic alloys

    Z. Liu;P.H. Chong;P. Skeldon;P.A. Hilton

  • A comprehensive study of RPL and P2P-RPL routing protocols: Implementation, challenges and opportunities

    Ming Zhao;Arun Kumar;Peter Han Joo Chong;Rongxing Lu

  • Controller placement optimization in hierarchical distributed software defined vehicular networks

    Kushan Sudheera Kalupahana Liyanage;Maode Ma;Peter Han Joo Chong

  • An Evolutionary Self-Cooperative Trust Scheme Against Routing Disruptions in MANETs

    Ruo Jun Cai;Xue Jun Li;Peter Han Joo Chong

  • Forecasting spread of COVID-19 using Google Trends: A hybrid GWO-Deep learning approach.

    Sikakollu Prasanth;Uttam Singh;Arun Kumar;Vinay Anand Tikkiwal

  • An efficient clustering scheme for large and dense mobile ad hoc networks (MANETs)

    Jane Yang Yu;Peter Han Joo Chong

  • Link Stability Based Optimized Routing Framework for Software Defined Vehicular Networks

    Kalupahana Liyanage Kushan Sudheera;Maode Ma;Peter Han Joo Chong

Frequent Co-Authors

yong liang guan
yong liang guan Nanyang Technological University
Maode Ma
Maode Ma Qatar University
Din Ping Tsai
Din Ping Tsai City University of Hong Kong
Ai Qun Liu
Ai Qun Liu Hong Kong Polytechnic University
Harpreet S. Dhillon
Harpreet S. Dhillon Virginia Tech
Ken-Tye Yong
Ken-Tye Yong University of Sydney
Zhongxiang Shen
Zhongxiang Shen Nanyang Technological University
Cyril Leung
Cyril Leung University of British Columbia
Peter Skeldon
Peter Skeldon University of Manchester
Wing-Cheung Law
Wing-Cheung Law Hong Kong Polytechnic University

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

If you’re passionate about computer science, there are many online degrees and related career paths to consider. Fields like mechanical engineering, electrical engineering, physics, and data science closely align with computer science fundamentals and often overlap in the job market.

For students focusing on affordability, check out the cheapest mechanical engineering degree online programs, which can open doors to careers in design, manufacturing, and robotics. Similarly, if you have a scientific and analytical mindset, pursuing online physics degrees can lead to dynamic opportunities in research, technology, and engineering.

Data science is a fast-growing sector with high demand for skilled professionals who can interpret complex data. For prospective data analysts and engineers, the cheapest data science masters in usa can provide quality education at a lower cost.

Lastly, if you’re interested in circuits, automation, or renewable energy, consider one of the best online electrical engineering programs USA for top-ranked flexible degree options. These related programs not only complement a computer science background but also offer diverse and rewarding career pathways.

Best Scientists Citing Peter Han Joo Chong

Trending Scientists

Recently Published Articles