World's Best Scientists 2026 revealed!
Stephen S.-T. Yau

Stephen S.-T. Yau

D-Index & Metrics

Mathematics

D-Index
36
Citations
5550
World Ranking
2637
National Ranking
134

Stephen S.-T. Yau publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Stephen S.-T. Yau sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 359 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Stephen S.-T. Yau D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Stephen S.-T. Yau sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 36 D-Index — 29th percentile

29% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Overview

Stephen S.-T. Yau is affiliated with Tsinghua University in China. Their research spans multiple fields, including Mathematics, Biochemistry, Genetics and Molecular Biology, and Computer Science. Within these areas, they have contributed extensively to subfields such as Molecular Biology, Artificial Intelligence, Geometry and Topology, Algebra and Number Theory, and Mathematical Physics.

Their work covers several main topics including Target Tracking and Data Fusion in Sensor Networks, Advanced Topics in Algebra, Genomics and Phylogenetic Studies, Machine Learning in Bioinformatics, RNA and protein synthesis mechanisms, Advanced Algebra and Geometry, and Algebraic Geometry and Number Theory.

Yau has published numerous papers in various prominent venues. Recent papers include:

  • kmer2vec: A Novel Method for Comparing DNA Sequences by word2vec Embedding, 2022, Journal of Computational Biology
  • Outlier-Robust Iterative Extended Kalman Filtering, 2023, IEEE Signal Processing Letters
  • Nasopharyngeal carcinoma MHC region deep sequencing identifies HLA and novel non-HLA TRIM31 and TRIM39 loci, 2020, Communications Biology
  • Analysis of the Hosts and Transmission Paths of SARS-CoV-2 in the COVID-19 Outbreak, 2020, Genes
  • Clinical utility of serial analysis of circulating tumour cells for detection of minimal residual disease of metastatic nasopharyngeal carcinoma, 2020, British Journal of Cancer

Their frequent co-authors include Huaiqing Zuo, Jiayi Kang, Naveed Hussain, Xiuqiong Chen, and Yangtianze Tao.

Yau's publications appear notably in arXiv (Cornell University) with 12 works, IEEE Transactions on Automatic Control with 7 works, Communications in Information and Systems with 6 works, Genes with 5 works, and Asian Journal of Mathematics with 5 works.

They have authored books published by Springer Nature, including "Mathematical Principles in Bioinformatics" (2023) and "Principles of Nonlinear Filtering Theory" (2024).

Best Publications

  • Classification of isolated hypersurface singularities by their moduli algebras

    John N. Mather;John N. Mather;Stephen S. T. Yau;Stephen S. T. Yau

  • Optimal fast tracking observer bandwidth of the linear extended state observer

    Dongchul Yoo;Stephen S.-T. Yau;Zhiqiang Gao

  • An estimate of the gap of the first two eigenvalues in the Schrödinger operator

    I. M. Singer;Bun Wong;Shing-Tung Yau;Stephen S.-T. Yau

  • DNA sequence representation without degeneracy

    Stephen S T Yau;Jiasong Wang;Amir Niknejad;Chaoxiao Lu

  • Gorenstein Quotient Singularities in Dimension Three

    Stephen Shing-Toung Yau;Yung Yu

  • On a necessary and sufficient condition for finite dimensionality of estimation

    Luen-Fai Tam;Wing Shing Wong;Stephen S. T. Yau

  • A Fourier Characteristic of Coding Sequences: Origins and a Non-Fourier Approximation

    Changchuan Yin;Stephen S.-T. Yau

  • Kohn-Rossi Cohomology and its Application to the Complex Plateau Problem, I

    Stephen S.-T. Yau

  • Numerical encoding of DNA sequences by chaos game representation with application in similarity comparison.

    Tung Hoang;Changchuan Yin;Stephen S.-T. Yau

  • On maximally elliptic singularities

    Stephen Shing Toung Yau

  • Optimal control of the Liouville equation

    Stephen Yau;Zhijie Chen;Jianpan Wang;Sheng-Li Tan

  • A new method to cluster DNA sequences using Fourier power spectrum.

    Tung Hoang;Changchuan Yin;Hui Zheng;Chenglong Yu

  • A measure of DNA sequence similarity by Fourier Transform with applications on hierarchical clustering

    Changchuan Yin;Ying Chen;Stephen S.-T. Yau

  • Real Time Classification of Viruses in 12 Dimensions

    Chenglong Yu;Troy Hernandez;Hui Zheng;Shek Chung Yau

  • A Novel Construction of Genome Space with Biological Geometry

    Chenglong Yu;Qian Liang;Changchuan Yin;Rong L. He

  • A protein map and its application

    Stephen S.-T. Yau;Stephen S.-T. Yau;Chenglong Yu;Rong He

  • Efficient association rule mining among both frequent and infrequent items

    Ling Zhou;Stephen Yau

  • DNA sequence comparison by a novel probabilistic method

    Chenglong Yu;Mo Deng;Stephen S. T. Yau

  • Structure and classification theorems of finite-dimensional exact estimation algebras

    Rui-Tao Dong;Luen-Fai Tam;Wing Shing Wong;Stephen S.-T. Yau

  • More explicit formulas for the matrix exponential

    Hon-Wing Cheng;Stephen S.-T. Yau

Frequent Co-Authors

Shing-Tung Yau
Shing-Tung Yau Tsinghua University
Jie Yang
Jie Yang RMIT University
Shi-Kuo Chang
Shi-Kuo Chang University of Pittsburgh
Lei Guo
Lei Guo Beijing University of Posts and Telecommunications
John N. Mather
John N. Mather Princeton University
Tomasz R. Bielecki
Tomasz R. Bielecki Illinois Institute of Technology
Zhiqiang Gao
Zhiqiang Gao Cleveland State University
Jie Huang
Jie Huang Chinese University of Hong Kong
Hong Zheng
Hong Zheng Beijing University of Technology
Raymond H. Chan
Raymond H. Chan Lingnan University

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