World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
9705
World Ranking
9125
National Ranking
564

Edward Tsang 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 Edward Tsang 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 229 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Edward Tsang 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 Edward Tsang sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Edward Tsang is affiliated with the University of Essex in the United Kingdom, focusing on research within the fields of Economics, Econometrics, and Finance. Their work encompasses several subfields, including Economics and Econometrics, Finance, Signal Processing, and Computer Networks and Communications.

Their research primarily addresses topics such as Complex Systems and Time Series Analysis, Financial Risk and Volatility Modeling, Market Dynamics and Volatility, Time Series Analysis and Forecasting, Nonlinear Dynamics and Pattern Formation, and Financial Markets and Investment Strategies.

Recent publications by Edward Tsang include:

  • "Directional change for handling tick-to-tick data" (2021), published in the Journal of Chinese Economic and Business Studies
  • "Nowcasting directional change in high frequency FX markets" (2024), published in Intelligent Systems in Accounting, Finance and Management / Intelligent Systems in Accounting, Finance & Management

Other related publications linked to Tsang's coauthors cover complementary topics, for example:

  • "Guided Local Search" (2024), published in Wiley Encyclopedia of Operations Research and Management Science by Christos Voudouris
  • "Measuring relative volatility in high-frequency data under the directional change approach" (2022), published in Intelligent Systems in Accounting, Finance and Management / Intelligent Systems in Accounting, Finance & Management by Shengnan Li
  • "P1.17.09 The Impact of Out-Of-Pocket Costs, Travel Distances and Clinic Visits on Quality of Life for Patients on TKIs" (2025), published in the Journal of Thoracic Oncology by Kalsoom Rafique

Frequent coauthors collaborating with Edward Tsang include:

  • Christos Voudouris
  • Shengnan Li
  • John G. O'Hara
  • Shuai Ma
  • V. L. Raju Chinthalapati

Tsang's publications appear consistently in a range of journals, with the most frequent venues being:

  • Intelligent Systems in Accounting, Finance and Management / Intelligent Systems in Accounting, Finance & Management
  • Wiley Encyclopedia of Operations Research and Management Science
  • Journal of Chinese Economic and Business Studies
  • Journal of Thoracic Oncology

Best Publications

  • Foundations of Constraint Satisfaction

    Edward Tsang

  • Expensive Multiobjective Optimization by MOEA/D With Gaussian Process Model

    Qingfu Zhang;Wudong Liu;Edward Tsang;Botond Virginas

  • Guided local search and its application to the traveling salesman problem

    Christos Voudouris;Edward P. K. Tsang

  • DE/EDA: a new evolutionary algorithm for global optimization

    Jianyong Sun;Qingfu Zhang;Edward P. K. Tsang

  • Guided Local Search.

    Christos Voudouris;Edward P. K. Tsang

  • Guided Local Search

    Christos Voudouris;Edward P.K. Tsang;Abdullah Alsheddy

  • Combining Model-based and Genetics-based Offspring Generation for Multi-objective Optimization Using a Convergence Criterion

    Aimin Zhou;Yaochu Jin;Qingfu Zhang;B. Sendhoff

  • Review of Constraint-based scheduling: Applying constraint programming to scheduling problems by Philippe Baptiste, Claude Le Pape, and Wim Nuijten (eds) Kluwer, 2001

    Edward Tsang

  • An evolutionary algorithm with guided mutation for the maximum clique problem

    Qingfu Zhang;Jianyong Sun;E. Tsang

  • Prediction-based population re-initialization for evolutionary dynamic multi-objective optimization

    Aimin Zhou;Yaochu Jin;Qingfu Zhang;Bernhard Sendhoff

  • Fast local search and guided local search and their application to British Telecom's workforce scheduling problem

    Edward Tsang;Chris Voudouris

  • GENET: a connectionist architecture for solving constraint satisfaction problems by iterative improvement

    Andrew Davenport;Edward Tsang;Chang J. Wang;Kangmin Zhu

  • Hybrid estimation of distribution algorithm for global optimization

    Qingfu Zhang;Jianyong Sun;Edward Tsang;John Ford

  • MOEA/D with NBI-style Tchebycheff approach for portfolio management

    Qingfu Zhang;Hui Li;Dietmar Maringer;Edward Tsang

  • Guided Local Search for Solving SAT and Weighted MAX-SAT Problems

    Patrick Mills;Edward Tsang

  • EDDIE-automation, a decision support tool for financial forecasting

    Edward Tsang;Paul Yung;Jin Li

  • Novel constraints satisfaction models for optimization problems in container terminals

    Hassan Rashidi;Edward P.K. Tsang

  • An Heterogeneous, Endogenous and Coevolutionary GP-Based Financial Market

    S. Martinez-Jaramillo;E.P.K. Tsang

  • A model-based evolutionary algorithm for bi-objective optimization

    Aimin Zhou;Qingfu Zhang;Yaochu Jin;Edward Tsang

  • Improving Technical Analysis Predictions: An Application of Genetic Programming

    Jin Li;Edward P. K. Tsang

Frequent Co-Authors

Qingfu Zhang
Qingfu Zhang City University of Hong Kong
Yaochu Jin
Yaochu Jin Westlake University
Bernhard Sendhoff
Bernhard Sendhoff Honda (Germany)
Hani Hagras
Hani Hagras University of Essex
Xin Yao
Xin Yao Lingnan University
Riccardo Poli
Riccardo Poli University of Essex
Ke Tang
Ke Tang Southern University of Science and Technology
Jose A. Lozano
Jose A. Lozano Basque Center for Applied Mathematics
Andries P. Engelbrecht
Andries P. Engelbrecht Stellenbosch University

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