World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
7786
World Ranking
7241
National Ranking
232

Raymond Chiong 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 Raymond Chiong 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: 240 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Raymond Chiong 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 Raymond Chiong 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Raymond Chiong is affiliated with the University of Newcastle Australia in Australia. Their research primarily spans the fields of computer science and engineering, with a notable focus on industrial and manufacturing engineering, artificial intelligence, sociology and political science, information systems, and computational theory and mathematics.

The scientist's main research themes cover diverse topics including scheduling and optimization algorithms, advanced manufacturing and logistics optimization, advanced multi-objective optimization algorithms, metaheuristic optimization algorithms research, technology adoption and user behaviour, spam and phishing detection, and sentiment analysis and opinion mining.

Frequent venues for Raymond Chiong's publications include:

  • Expert Systems with Applications
  • SSRN Electronic Journal
  • Computers in Biology and Medicine
  • Knowledge-Based Systems
  • arXiv (Cornell University)

The scientist has collaborated extensively with several co-authors. Among the most frequent are:

  • Sandeep Dhakal (16 co-authored works)
  • Zongwen Fan (11 co-authored works)
  • Zhongyi Hu (9 co-authored works)
  • Gregorius Satia Budhi (8 co-authored works)
  • Debiao Li (8 co-authored works)

Recent publications by Raymond Chiong include the following:

  • "A textual-based featuring approach for depression detection using machine learning classifiers and social media texts" (2021), Computers in Biology and Medicine
  • "Deep sequence modelling for Alzheimer's disease detection using MRI" (2021), Computers in Biology and Medicine
  • "A multi-population, multi-objective memetic algorithm for energy-efficient job-shop scheduling with deteriorating machines" (2020), Expert Systems with Applications
  • "Multiobjective Optimization of Energy-Efficient JOB-Shop Scheduling With Dynamic Reference Point-Based Fuzzy Relative Entropy" (2021), IEEE Transactions on Industrial Informatics
  • "Effects of in-store live stream on consumers' offline purchase intention" (2023), Journal of Retailing and Consumer Services

Best Publications

  • Deep learning to detect Alzheimer's disease from neuroimaging: A systematic literature review.

    Amir Ebrahimighahnavieh;Suhuai Luo;Raymond Chiong

  • 2015 IEEE Symposium Series on Computational Intelligence

    Honorary Chairs;Jacek Zurada;Andries Engelbrecht;Mengjie Zhang

  • Solving the energy-efficient job shop scheduling problem: a multi-objective genetic algorithm with enhanced local search for minimizing the total weighted tardiness and total energy consumption

    Rui Zhang;Raymond Chiong

  • Hybrid filter-wrapper feature selection for short-term load forecasting

    Zhongyi Hu;Yukun Bao;Tao Xiong;Raymond Chiong

  • Remote heart rate measurement using low-cost RGB face video: a technical literature review

    Philipp V. Rouast;Marc T. P. Adam;Raymond Chiong;David Cornforth

  • Parallel Machine Scheduling Under Time-of-Use Electricity Prices: New Models and Optimization Approaches

    Jian-Ya Ding;Shiji Song;Rui Zhang;Raymond Chiong

  • Multilingual sentiment analysis: from formal to informal and scarce resource languages

    Siaw Ling Lo;Erik Cambria;Raymond Chiong;David Cornforth

  • A textual-based featuring approach for depression detection using machine learning classifiers and social media texts.

    Raymond Chiong;Gregorius Satia Budhi;Gregorius Satia Budhi;Sandeep Dhakal;Fabian Chiong

  • Acceptance and use predictors of fitness wearable technology and intention to recommend

    Shamim Talukder;Raymond Chiong;Yukun Bao;Babur Hayat Malik

  • Nature-Inspired Algorithms for Optimisation

    Raymond Chiong

  • Forecasting interval time series using a fully complex-valued RBF neural network with DPSO and PSO algorithms

    Tao Xiong;Yukun Bao;Zhongyi Hu;Raymond Chiong

  • Deep Learning for Human Affect Recognition: Insights and New Developments

    Philipp V. Rouast;Marc T. P. Adam;Raymond Chiong

  • Variants of Evolutionary Algorithms for Real-World Applications

    Raymond Chiong;Thomas Weise;Zbigniew Michalewicz

  • Evolutionary Optimization: Pitfalls and Booby Traps

    Thomas Weise;Raymond Chiong;Ke Tang

  • An improved iterated greedy algorithm with a Tabu-based reconstruction strategy for the no-wait flowshop scheduling problem

    Jian-Ya Ding;Shiji Song;Jatinder N.D. Gupta;Rui Zhang

  • Energy-efficient flexible flow shop scheduling with worker flexibility

    Guiliang Gong;Guiliang Gong;Raymond Chiong;Qianwang Deng;Wenwu Han

  • Mid-term interval load forecasting using multi-output support vector regression with a memetic algorithm for feature selection

    Zhongyi Hu;Yukun Bao;Raymond Chiong;Tao Xiong

  • Collaborative Learning in Online Study Groups: An Evolutionary Game Theory Perspective

    Raymond Chiong;Jelena Jovanovic

  • A hybrid artificial bee colony algorithm for flexible job shop scheduling with worker flexibility

    Guiliang Gong;Guiliang Gong;Raymond Chiong;Qianwang Deng;Xuran Gong

  • Why Is Optimization Difficult

    Thomas Weise;Michael W. Zapf;Raymond Chiong;Antonio J. Nebro

  • Deep sequence modelling for Alzheimer's disease detection using MRI

    Amir Ebrahimi;Suhuai Luo;Raymond Chiong

  • Deep Learning for Human Affect Recognition: Insights and New Developments

    Philipp V. Rouast;Marc T. P. Adam;Raymond Chiong

  • Investigating the Critical Success Factors for Implementing Electronic Document Management Systems in Governments: Evidence From Jordan

    Haitham Alshibly;Raymond Chiong;Yukun Bao

Frequent Co-Authors

Yukun Bao
Yukun Bao Huazhong University of Science and Technology
Rui Zhang
Rui Zhang National University of Singapore
Shiji Song
Shiji Song Tsinghua University
Richard H. Middleton
Richard H. Middleton University of Newcastle Australia
Jelena Jovanovic
Jelena Jovanovic University of Belgrade
Patrick Siarry
Patrick Siarry Paris-Est Créteil University
Zbigniew Michalewicz
Zbigniew Michalewicz University of Adelaide
Ferrante Neri
Ferrante Neri University of Nottingham
Ke Tang
Ke Tang Southern University of Science and Technology
Jatinder N. D. Gupta
Jatinder N. D. Gupta University of Alabama in Huntsville

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