World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
79
Citations
23896
World Ranking
1148
National Ranking
610

Tao Li 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 Tao Li 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: 298 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Tao Li 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 Tao Li 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: 79 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.

Research.com Recognitions

  • 2018 - IEEE Fellow For contributions to sustainable and power-efficient computer architectures
  • 2016 - Fellow of the American Mathematical Society For contributions to low-dimensional topology, especially the topology of three-manifolds.

Overview

Tao Li was affiliated with Florida International University in the United States. Their research primarily focused on Environmental Science, with a concentration on Health, Toxicology, and Mutagenesis, as well as Atmospheric Science, Electrical and Electronic Engineering, Global and Planetary Change, and Pollution.

The main topics covered in Tao Li's body of work included:

  • Mercury impact and mitigation studies
  • Air Quality and Health Impacts
  • Toxic Organic Pollutants Impact
  • Atmospheric chemistry and aerosols
  • Atmospheric Ozone and Climate
  • Atmospheric and Environmental Gas Dynamics
  • Atmospheric aerosols and clouds

Their publications often appeared in key scientific journals and venues, including:

  • The Science of The Total Environment
  • Atmospheric chemistry and physics
  • Journal of Hazardous Materials
  • Ecotoxicology and Environmental Safety
  • arXiv (Cornell University)

Recent papers authored or co-authored by Tao Li included:

  • Chemical characteristics of cloud water and the impacts on aerosol properties at a subtropical mountain site in Hong Kong SAR, 2020, Atmospheric chemistry and physics
  • Marine organic matter in the remote environment of the Cape Verde islands - an introduction and overview to the MarParCloud campaign, 2020, Atmospheric chemistry and physics
  • Some oscillation theorems for nonlinear second-order differential equations with an advanced argument, 2020, Advances in Difference Equations
  • Risk Assessment of Tunnel Construction Based on Improved Cloud Model, 2020, Journal of Performance of Constructed Facilities
  • Characterization of Microplastics in Clouds over Eastern China, 2023, Environmental Science & Technology Letters

Tao Li frequently collaborated with other researchers, most notably:

  • Xiaoling Nie
  • Yan Wang
  • Jiebo Zhen
  • Huiting Mao
  • Hartmut Herrmann

Tao Li was a recipient of professional recognitions including being named an IEEE Fellow in 2018 for contributions to sustainable and power-efficient computer architectures. In 2016, they were also recognized as a Fellow of the American Mathematical Society for contributions to low-dimensional topology, especially the topology of three-manifolds.

Best Publications

  • Convex and Semi-Nonnegative Matrix Factorizations

    C.H.Q. Ding;Tao Li;M.I. Jordan

  • Orthogonal nonnegative matrix t-factorizations for clustering

    Chris Ding;Tao Li;Wei Peng;Haesun Park

  • A comparative study of feature selection and multiclass classification methods for tissue classification based on gene expression

    Tao Li;Chengliang Zhang;Mitsunori Ogihara

  • A comparative study on content-based music genre classification

    Tao Li;Mitsunori Ogihara;Qi Li

  • A Survey on Malware Detection Using Data Mining Techniques

    Yanfang Ye;Tao Li;Donald Adjeroh;S. Sitharama Iyengar

  • Community discovery using nonnegative matrix factorization

    Fei Wang;Tao Li;Xin Wang;Shenghuo Zhu

  • Detecting Emotion in Music

    Tao Li;Mitsunori Ogihara

  • On the equivalence between Non-negative Matrix Factorization and Probabilistic Latent Semantic Indexing

    Chris Ding;Tao Li;Wei Peng

  • Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization

    Dingding Wang;Tao Li;Shenghuo Zhu;Chris Ding

  • The Relationships Among Various Nonnegative Matrix Factorization Methods for Clustering

    Tao Li;C. Ding

  • Recent advances in feature selection and its applications

    Yun Li;Tao Li;Huan Liu

  • A survey on wavelet applications in data mining

    Tao Li;Qi Li;Shenghuo Zhu;Mitsunori Ogihara

  • Adaptive dimension reduction using discriminant analysis and K-means clustering

    Chris Ding;Tao Li

  • Using discriminant analysis for multi-class classification: an experimental investigation

    Tao Li;Shenghuo Zhu;Mitsunori Ogihara

  • Data-Driven Techniques in Disaster Information Management

    Tao Li;Ning Xie;Chunqiu Zeng;Wubai Zhou

  • Survey of data management and analysis in disaster situations

    Vagelis Hristidis;Shu-Ching Chen;Tao Li;Steven Luis

  • Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization

    Tao Li;C. Ding;M.I. Jordan

  • SCENE: a scalable two-stage personalized news recommendation system

    Lei Li;Dingding Wang;Tao Li;Daniel Knox

  • IMDS: intelligent malware detection system

    Yanfang Ye;Dingding Wang;Tao Li;Dongyi Ye

  • LogSig: generating system events from raw textual logs

    Liang Tang;Tao Li;Chang-Shing Perng

  • Factors in automatic musical genre classification of audio signals

    Tao Li;G. Tzanetakis

Frequent Co-Authors

Shining Zhu
Shining Zhu Nanjing University
Mitsunori Ogihara
Mitsunori Ogihara University of Miami
Zhi-Hong Guan
Zhi-Hong Guan Huazhong University of Science and Technology
Ji-Feng Zhang
Ji-Feng Zhang Chinese Academy of Sciences
Chris Ding
Chris Ding Chinese University of Hong Kong, Shenzhen
Xiang Zhang
Xiang Zhang University of Hong Kong
Shu-Ching Chen
Shu-Ching Chen Florida International University
James D. Blande
James D. Blande University of Eastern Finland
Din Ping Tsai
Din Ping Tsai City University of Hong Kong

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring a future in Computer Science goes beyond traditional on-campus degrees. Many students choose flexible alternatives like online programs, which offer convenience and diverse specializations. If you're interested in theoretical foundations and advanced science, consider an online theoretical physics degree to strengthen your analytical and problem-solving skills.

For those looking to capitalize on the growing demand for big data expertise, the cheapest master in data science programs offer a cost-effective way to enter this lucrative field. Similarly, engineering-minded students can pursue computer-related roles by reviewing online electrical engineering career outcomes to understand potential job opportunities and earnings.

If you prefer a shorter commitment, there are certifications that pay well and provide quick entry to in-demand tech careers. By assessing these options, you can tailor your education pathway to your career interests and personal schedule.

Best Scientists Citing Tao Li

Recently Published Articles