World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
78
Citations
22509
World Ranking
1213
National Ranking
72

Victor Chang 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 Victor Chang 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: 419 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Victor Chang 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 Victor Chang 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: 78 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Overview

Victor Chang is affiliated with Aston University in the United Kingdom and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence, information systems, and computer networks. Their research spans 274 publications primarily within the computer science domain, including notable subfields such as artificial intelligence (115 publications), information systems (62 publications), computer networks and communications (58 publications), sociology and political science (32 publications), and economics and econometrics (25 publications).

Their work frequently appears in well-regarded journals and venues, with multiple publications in:

  • International Journal of Business and Systems Research
  • Technological Forecasting and Social Change
  • Journal of Global Information Management
  • International Journal of Business Information Systems
  • IEEE Transactions on Industrial Informatics

Victor Chang's recent papers highlight their engagement with emerging technologies and healthcare applications. Notable publications include:

  • "How Blockchain can impact financial services - The overview, challenges and recommendations from expert interviewees" (2020, Technological Forecasting and Social Change)
  • "An artificial intelligence model for heart disease detection using machine learning algorithms" (2022, Healthcare Analytics)
  • "Pima Indians diabetes mellitus classification based on machine learning (ML) algorithms" (2022, Neural Computing and Applications)

The main research topics covered in their work are:

  • IoT and Edge/Fog Computing
  • Blockchain Technology Applications and Security
  • COVID-19 diagnosis using AI
  • Privacy-Preserving Technologies in Data
  • Digital Marketing and Social Media
  • Network Security and Intrusion Detection
  • Anomaly Detection Techniques and Applications

Throughout their career, Victor Chang has collaborated with several frequent coauthors, including:

  • Qianwen Xu
  • Mohamed Abdel-Basset
  • Lewis Golightly
  • Karl Hall
  • Pin Ni

Victor Chang has also authored books published by recognized academic publishers. These include:

  • Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases (2022, Springer Nature)
  • Computer Security (2020, Springer Science+Business Media)

Best Publications

  • The role of big data in smart city

    Ibrahim Abaker Targio Hashem;Victor Chang;Nor Badrul Anuar;Kayode Adewole

  • Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare

    Bahar J. Farahani;Farshad Firouzi;Victor I. Chang;Mustafa Badaroglu

  • A review and future direction of agile, business intelligence, analytics and data science

    Deanne Larson;Victor Chang

  • How Blockchain can impact financial services - The overview, challenges and recommendations from expert interviewees.

    Victor Chang;Patricia Baudier;Hui Zhang;Qianwen Xu;Qianwen Xu

  • An innovative neural network approach for stock market prediction

    Xiong Wen Pang;Yanqiang Zhou;Pan Wang;Weiwei Lin

  • Cloud computing adoption framework

    Victor Chang;Yen-Hung Kuo;Muthu Ramachandran

  • Privacy-preserving smart IoT-based healthcare big data storage and self-adaptive access control system

    Yang Yang;Xianghan Zheng;Xianghan Zheng;Wenzhong Guo;Wenzhong Guo;Ximeng Liu

  • Towards Achieving Data Security with the Cloud Computing Adoption Framework

    Victor Chang;Muthu Ramachandran

  • A light weight authentication protocol for IoT-enabled devices in distributed Cloud Computing environment

    Ruhul Amin;Neeraj Kumar;G. P. Biswas;Rahat Iqbal

  • An integrated neutrosophic ANP and VIKOR method for achieving sustainable supplier selection: A case study in importing field

    M. Abdel-Baset;Victor Chang;Abduallah Gamal;Florentin Smarandache

  • Big data reduction framework for value creation in sustainable enterprises

    Muhammad Habib ur Rehman;Victor Chang;Aisha Batool;Teh Ying Wah

  • Adoption of Internet of Things in India: A test of competing models using a structured equation modeling approach

    Monika Mital;Victor Chang;Praveen Choudhary;Armando Papa

  • A Novel Intelligent Medical Decision Support Model Based on Soft Computing and IoT

    Mohamed Abdel-Basset;Gunasekaran Manogaran;Abduallah Gamal;Victor Chang

  • Critical success factors (CSFs) for information technology governance (ITG)

    Zyad Alreemy;Victor Chang;Robert Walters;Gary Wills

  • A Proposed Solution and Future Direction for Blockchain-Based Heterogeneous Medicare Data in Cloud Environment

    Harleen Kaur;M. Afshar Alam;Roshan Jameel;Ashish Kumar Mourya

  • A cybersecurity framework to identify malicious edge device in fog computing and cloud-of-things environments

    Amandeep Singh Sohal;Rajinder Sandhu;Sandeep K. Sood;Victor Chang

  • An intelligent framework using disruptive technologies for COVID-19 analysis.

    Mohamed Abdel-Basset;Victor Chang;Nada A. Nabeeh

  • Evaluation of the green supply chain management practices: A novel neutrosophic approach

    Mohamed Abdel-Baset;Victor Chang;Abduallah Gamal

  • The development that leads to the Cloud Computing Business Framework

    Victor Chang;Victor Chang;Robert John Walters;Gary B. Wills

  • Service Function Chain Orchestration Across Multiple Domains: A Full Mesh Aggregation Approach

    Gang Sun;Yayu Li;Dan Liao;Victor Chang

  • Review and discussion

    Victor Chang

Frequent Co-Authors

Gary Wills
Gary Wills University of Southampton
Gang Sun
Gang Sun University of Electronic Science and Technology of China
Robert John Walters
Robert John Walters University of Southampton
Hongfang Yu
Hongfang Yu University of Electronic Science and Technology of China
Abdullah Gani
Abdullah Gani University of Malaya
David De Roure
David De Roure University of Oxford
Ching-Hsien Hsu
Ching-Hsien Hsu Asia University Taiwan
Pandi Vijayakumar
Pandi Vijayakumar Anna University, Chennai
Florentin Smarandache
Florentin Smarandache University of New Mexico
Ximeng Liu
Ximeng Liu Fuzhou University

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