World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
10815
World Ranking
5840
National Ranking
180

Xiangjian He 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 Xiangjian He 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: 421 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Xiangjian He 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 Xiangjian He 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: 49 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Overview

Xiangjian He is affiliated with the University of Technology Sydney in Australia. Their research spans multiple areas within Computer Science and Engineering, with a particular focus on Computer Vision and Pattern Recognition, Artificial Intelligence, and Computer Networks and Communications, among other subfields.

The main fields of study reflected in their work include:

  • Computer Science
  • Engineering

More specific subfields of study cover:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Computer Networks and Communications
  • Radiology, Nuclear Medicine and Imaging
  • Electrical and Electronic Engineering

Their research contributions frequently address topics such as:

  • Anomaly Detection Techniques and Applications
  • Advanced Neural Network Applications
  • AI in cancer detection
  • Network Security and Intrusion Detection
  • Video Surveillance and Tracking Methods
  • Human Pose and Action Recognition
  • Domain Adaptation and Few-Shot Learning

Xiangjian He has published extensively, with prominent venues including:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • IEEE Access
  • IEEE Transactions on Multimedia
  • Neurocomputing

Among recent papers, notable works include:

  • Security and Privacy in IoT Using Machine Learning and Blockchain, 2020, ACM Computing Surveys
  • RTVD: A Real-Time Volumetric Detection Scheme for DDoS in the Internet of Things, 2020, IEEE Access
  • An Optimized IoT-Enabled Big Data Analytics Architecture for Edge-Cloud Computing, 2022, IEEE Internet of Things Journal
  • Multi-frame feature-fusion-based model for violence detection, 2020, The Visual Computer
  • BuildSenSys: Reusing Building Sensing Data for Traffic Prediction With Cross-Domain Learning, 2020, IEEE Transactions on Mobile Computing

They collaborate frequently with several co-authors, including:

  • Wenjing Jia
  • Priyadarsi Nanda
  • Xiaochen Fan
  • Gengfa Fang
  • Chengpei Xu

Best Publications

  • Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges

    Mohammad Hesam Hesamian;Wenjing Jia;Xiangjian He;Paul J. Kennedy

  • Building an Intrusion Detection System Using a Filter-Based Feature Selection Algorithm

    Mohammed A. Ambusaidi;Xiangjian He;Priyadarsi Nanda;Zhiyuan Tan

  • A System for Denial-of-Service Attack Detection Based on Multivariate Correlation Analysis

    Zhiyuan Tan;Aruna Jamdagni;Xiangjian He;Priyadarsi Nanda

  • A Novel Convolutional Neural Network Based Indoor Localization Framework With WiFi Fingerprinting

    Xudong Song;Xiaochen Fan;Chaocan Xiang;Qianwen Ye

  • Learning-Based License Plate Detection Using Global and Local Features

    Huaifeng Zhang;Wenjing Jia;Xiangjian He;Qiang Wu

  • Region-based license plate detection

    Wenjing Jia;Huaifeng Zhang;Xiangjian He

  • Detection of Denial-of-Service Attacks Based on Computer Vision Techniques

    Zhiyuan Tan;Aruna Jamdagni;Xiangjian He;Priyadarsi Nanda

  • A Sybil attack detection scheme for a forest wildfire monitoring application

    Mian Ahmad Jan;Mian Ahmad Jan;Priyadarsi Nanda;Xiangjian He;Ren Ping Liu

  • PASCCC: Priority-based application-specific congestion control clustering protocol

    Mian Ahmad Jan;Mian Ahmad Jan;Priyadarsi Nanda;Xiangjian He;Ren Ping Liu

  • A Robust Authentication Scheme for Observing Resources in the Internet of Things Environment

    Mian Ahmad Jan;Priyadarsi Nanda;Xiangjian He;Zhiyuan Tan

  • Security and Privacy in IoT Using Machine Learning and Blockchain: Threats and Countermeasures

    Nazar Waheed;Xiangjian He;Muhammad Ikram;Muhammad Usman

  • A new method for violence detection in surveillance scenes

    Tao Zhang;Zhijie Yang;Wenjing Jia;Baoqing Yang

  • Mean shift for accurate license plate localization

    Wenjing Jia;Huaifeng Zhang;Xiangjian He;M. Piccardi

  • PAWN: a payload-based mutual authentication scheme for wireless sensor networks

    Mian Ahmad Jan;Priyadarsi Nanda;Muhammad Usman;Xiangjian He

  • Blockchain Based Secured Identity Authentication and Expeditious Revocation Framework for Vehicular Networks

    Nisha Malik;Priyadarsi Nanda;Arushi Arora;Xiangjian He

  • Hexagonal Structure for Intelligent Vision

    Xiangjian He;Wenjing Jia

  • A Sybil Attack Detection Scheme for a Centralized Clustering-Based Hierarchical Network

    Mian Ahmad Jan;Priyadarsi Nanda;Xiangjian He;Ren Ping Liu

  • Enhancing Big Data Security with Collaborative Intrusion Detection

    Zhiyuan Tan;Upasana T. Nagar;Xiangjian He;Priyadarsi Nanda

  • An effective document image deblurring algorithm

    Xiaogang Chen;Xiangjian He;Jie Yang;Qiang Wu

  • Review Article: RePIDS: A multi tier Real-time Payload-based Intrusion Detection System

    Aruna Jamdagni;Zhiyuan Tan;Xiangjian He;Priyadarsi Nanda

  • Discriminative Dictionary Learning With Motion Weber Local Descriptor for Violence Detection

    Tao Zhang;Wenjing Jia;Xiangjian He;Jie Yang

  • Denial-of-service attack detection based on multivariate correlation analysis

    Zhiyuan Tan;Aruna Jamdagni;Xiangjian He;Priyadarsi Nanda

Frequent Co-Authors

Zhiyuan Tan
Zhiyuan Tan Edinburgh Napier University
Min Xu
Min Xu University of Technology Sydney
Ren Ping Liu
Ren Ping Liu University of Technology Sydney
Wei-Chang Yeh
Wei-Chang Yeh National Tsing Hua University
Jinjun Chen
Jinjun Chen Swinburne University of Technology
Kin-Man Lam
Kin-Man Lam Hong Kong Polytechnic University
Deepak Puthal
Deepak Puthal United Arab Emirates University
Changsheng Xu
Changsheng Xu Chinese Academy of Sciences
Yue M. Lu
Yue M. Lu Beijing University of Posts and Telecommunications
Bijan Samali
Bijan Samali Western Sydney University

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