World's Best Scientists 2026 revealed!
Christine W. Chan

Christine W. Chan

D-Index & Metrics

Computer Science

D-Index
31
Citations
3903
World Ranking
13696
National Ranking
534

Christine W. Chan 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 Christine W. Chan 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: 176 publications — 37th percentile

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

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

Christine W. Chan 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 Christine W. Chan 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Christine W. Chan is affiliated with the University of Regina in Canada. Their research spans primarily across the fields of engineering and computer science, with significant focus on mechanical engineering, artificial intelligence, and control and systems engineering.

Their work covers several subfields including computer vision and pattern recognition, and biomedical engineering. Chan's research topics emphasize carbon dioxide capture technologies, membrane separation and gas transport, as well as atmospheric and environmental gas dynamics. Additional topics include phase equilibria and thermodynamics, reservoir engineering and simulation methods, robot manipulation and learning, and modular robots and swarm intelligence.

Chan has contributed to numerous publications, with a notable presence in venues such as arXiv (Cornell University) and SSRN Electronic Journal, each featuring four of their works. Other publication venues include the International Journal of Greenhouse Gas Control, the journal Energy, and Industrial & Engineering Chemistry Research.

  • Open X-Embodiment: Robotic Learning Datasets and RT-X Models (2023), arXiv (Cornell University)
  • Technology development and applications of artificial intelligence for post-combustion carbon dioxide capture: Critical literature review and perspectives (2021), International Journal of Greenhouse Gas Control
  • Forecasting the daily natural gas consumption with an accurate white-box model (2021), Energy
  • Novel Machine Learning Model Correlating CO2 Equilibrium Solubility in Three Tertiary Amines (2022), Industrial & Engineering Chemistry Research
  • Recent progress and new developments of applications of artificial intelligence (AI), knowledge-based systems (KBS), and Machine Learning (ML) in the petroleum industry (2020), Petroleum

Frequent co-authors include Paitoon Tontiwachwuthikul, Teerawat Sema, Congning Yang, Tianci Li, and Puttipong Tantikhajorngosol. Collaboration with these researchers spans multiple publications.

  • Paitoon Tontiwachwuthikul
  • Teerawat Sema
  • Congning Yang
  • Tianci Li
  • Puttipong Tantikhajorngosol

Best Publications

  • An integrated multi-criteria decision analysis and inexact mixed integer linear programming approach for solid waste management

    S. Cheng;C.W. Chan;G.H. Huang

  • Discovering rules for water demand prediction: An enhanced rough-set approach☆

    Aijun An;Ning Shan;Christine Chan;Nick Cercone

  • Artificial intelligence for monitoring and supervisory control of process systems

    Varanon Uraikul;Christine W. Chan;Paitoon Tontiwachwuthikul

  • USING MULTIPLE CRITERIA DECISION ANALYSIS FOR SUPPORTING DECISIONS OF SOLID WASTE MANAGEMENT

    Steven Cheng;Christine W. Chan;Guo H. Huang

  • A Doctrine of Cognitive Informatics (CI)

    Yingxu Wang;Witold Kinsner;James A. Anderson;Du Zhang

  • Open X-Embodiment: Robotic Learning Datasets and RT-X Models

    Unknown

  • Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0

    Unknown

  • Rule-induction and case-based reasoning: hybrid architectures appear advantageous

    N. Cercone;Aijun An;C. Chan

  • Artificial intelligence for management and control of pollution minimization and mitigation processes

    Christine W. Chan;Guo H. Huang

  • Cognitive Intelligence: Deep Learning, Thinking, and Reasoning by Brain-Inspired Systems

    Gerhard Budin;Marina L. Gavrilova;Duane F. Shell;Yingxu Wang

  • An integrated expert system/operations research approach for the optimization of natural gas pipeline operations

    Chi Ki Sun;Varanon Uraikul;Christine W. Chan;Paitoon Tontiwachwuthikul

  • Multiple neural networks for a long term time series forecast

    Unknown

  • Applying knowledge discovery to predict water-supply consumption

    A. An;C. Chan;N. Shan;N. Cercone

  • Development of an intelligent decision support system for air pollution control at coal-fired power plants

    Qian Zhou;Guo H. Huang;Christine W. Chan

  • A toolset for construction of hybrid intelligent forecasting systems: application for water demand prediction

    Narate Lertpalangsunti;Christine W. Chan;Ralph Mason;Paitoon Tontiwachwuthikul

  • Development of an expert system for optimizing natural gas pipeline operations

    V. Uraikul;C.W. Chan;P. Tontiwachwuthikul

  • An intelligent decision support system for management of petroleum-contaminated sites

    Liqiang Geng;Zhi Chen;Christine W Chan;Gordon H Huang

  • Knowledge engineering for an intelligent case-based system for help desk operations

    Christine W. Chan;Lin-Li Chen;Liqiang Geng

  • An expert decision support system for monitoring and diagnosis of petroleum production and separation processes

    Christine W. Chan

  • A comparison of automation techniques for optimization of compressor scheduling

    H. H. Nguyen;V. Uraikul;C. W. Chan;P. Tontiwachwuthikul

  • A probabilistic reasoning-based decision support system for selection of remediation technologies for petroleum-contaminated sites

    L. He;C. W. Chan;G. H. Huang;G. M. Zeng

  • Ontology Modeling Using UML

    Xin Wang;Christine W. Chan

  • An Experimental Study of the Post-CHOPS Cyclic Solvent Injection Process

    Zhongwei Du;Fanhua Zeng;Christine Chan

Frequent Co-Authors

Paitoon Tontiwachwuthikul
Paitoon Tontiwachwuthikul University of Regina
Nick Cercone
Nick Cercone York University
Raphael Idem
Raphael Idem University of Regina
Aijun An
Aijun An York University
Guohe Huang
Guohe Huang University of Regina
Zhiwu Liang
Zhiwu Liang Hunan University
Yingxu Wang
Yingxu Wang University of Calgary
Lotfi A. Zadeh
Lotfi A. Zadeh University of California, Berkeley
Wojciech Ziarko
Wojciech Ziarko University of Regina
Yiyu Yao
Yiyu Yao University of Regina

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