World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
6447
World Ranking
10676
National Ranking
1311

Huaiqing Wang 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 Huaiqing Wang 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: 146 publications — 25th percentile

25% of scientists in this discipline score the same or lower.

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

Huaiqing Wang 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 Huaiqing Wang 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Huaiqing Wang is affiliated with the City University of Hong Kong in China. Their research portfolio spans engineering with a focus on atomic and molecular physics and optics, as well as electrical and electronic engineering. Additional subfields in Wang's work include ecology, instrumentation, and computational mechanics.

The scientist's research addresses a range of topics, including:

  • Adaptive optics and wavefront sensing
  • Remote sensing in agriculture
  • Astronomy and astrophysical research
  • Astronomical observations and instrumentation
  • Retinal imaging and analysis
  • Optical systems and laser technology
  • Time series analysis and forecasting

Wang has contributed papers published in multiple venues, frequently appearing in journals such as Universe, Research in Astronomy and Astrophysics, Monthly Notices of the Royal Astronomical Society, Engineering Applications of Artificial Intelligence, and arXiv (Cornell University).

Selected recent publications include:

  • Artificial Intelligence in Astronomical Optical Telescopes: Present Status and Future Perspectives, 2024, Universe
  • Data-driven Seeing Prediction for Optics Telescope: from Statistical Modeling, Machine Learning to Deep Learning Techniques, 2022, Research in Astronomy and Astrophysics
  • Intelligent Monitoring and Diagnosis of Telescope Image Quality, 2023, Monthly Notices of the Royal Astronomical Society
  • Intelligence of Astronomical Optical Telescope: Present Status and Future Perspectives, 2023, arXiv (Cornell University)
  • An Efficient Astronomical Seeing Forecasting Method by Random Convolutional Kernel Transformation, 2023, Engineering Applications of Artificial Intelligence

Wang frequently collaborates with other researchers, including Xiangqun Cui, Tianzhu Hu, Yong Zhang, Jingyi Cai, and Yonghui Hou. These coauthorships reflect overlapping research interests in both instrumentation and computational methods applied to optics and astronomical observation.

Best Publications

  • Consumer privacy concerns about Internet marketing

    Huaiqing Wang;Matthew K. O. Lee;Chen Wang

  • The adoption of virtual banking: an empirical study

    Shaoyi Liao;Yuan Pu Shao;Huaiqing Wang;Ada Chen

  • Cyber warfare: steganography vs. steganalysis

    Huaiqing Wang;Shuozhong Wang

  • A maturity model for blockchain adoption

    Unknown

  • Exploring alternatives during requirements analysis

    J. Mylopoulos;L. Chung;S. Liao;H. Wang

  • From process logic to business logic-A cognitive approach to business process management

    Minhong Wang;Huaiqing Wang

  • An improved algorithm for the packing of unequal circles within a larger containing circle

    Unknown

  • On-demand e-supply chain integration: A multi-agent constraint-based approach

    Minhong Wang;Jiming Liu;Huaiqing Wang;William K. Cheung

  • A discretization algorithm based on a heterogeneity criterion

    X. Liu;H. Wang

  • Agent-based negotiation and decision making for dynamic supply chain formation

    Minhong Wang;Huaiqing Wang;Doug Vogel;Kuldeep Kumar

  • Novel Online Methods for Time Series Segmentation

    Xiaoyan Liu;Zhenjiang Lin;Huaiqing Wang

  • Intelligent agent-assisted decision support systems: Integration of knowledge discovery, knowledge analysis, and group decision support

    Huaiqing Wang

  • Open source software adoption: a status report

    Huaiqing Wang;Chen Wang

  • Cross-organizational collaborative workflow mining from a multi-source log

    Unknown

  • Intelligent agents in the nuclear industry

    Huaiqing Wang;Chen Wang

  • Ontology of collaborative manufacturing: Alignment of service-oriented framework with service-dominant logic

    Jiaqi Yan;Kang Ye;Huaiqing Wang;Zhongsheng Hua

  • Intelligent agents and financial risk monitoring systems

    Huaiqing Wang;John Mylopoulos;Stephen Liao

  • Agile Supply Chain Management over the Internet of Things

    Ping Lou;Quan Liu;Zude Zhou;Huaiqing Wang

  • Multi-agent-based proactive–reactive scheduling for a job shop

    Ping Lou;Quan Liu;Zude Zhou;Huaiqing Wang

  • Modeling and Analysis for Workflow Constrained by Resources and Nondetermined Time: An Approach Based on Petri Nets

    Huaiqing Wang;Qingtian Zeng

  • Computing with words via Turing machines: a formal approach

    Huaiqing Wang;Daowen Qiu

  • The design of intelligent workflow monitoring with agent technology

    Minhong Wang;Huaiqing Wang;Dongming Xu

  • A Behavioral Distance for Fuzzy-Transition Systems

    Yongzhi Cao;Sherry X. Sun;Huaiqing Wang;Guoqing Chen

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