World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
56
Citations
10759
World Ranking
739
National Ranking
54

Yang-Hui He 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 Yang-Hui He 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: 82 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: 195 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Yang-Hui He 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 Yang-Hui He 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: 137 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: 56 D-Index — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Overview

Yang-Hui He is affiliated with the London Institute for Mathematical Sciences in the United Kingdom. Their research spans several interconnected scientific fields, with significant contributions to mathematics, computer science, and physics and astronomy. The scientist's work emphasizes areas such as algebraic geometry and number theory, topological and geometric data analysis, and theoretical physics.

The main fields of study for Yang-Hui He include:

  • Mathematics
  • Computer Science
  • Physics and Astronomy

Within these fields, the research explores several specialized subfields, including:

  • Geometry and Topology
  • Computational Theory and Mathematics
  • Nuclear and High Energy Physics
  • Algebra and Number Theory
  • Artificial Intelligence

The topics addressed in their work cover a range of mathematical and physical themes:

  • Algebraic Geometry and Number Theory
  • Topological and Geometric Data Analysis
  • Black Holes and Theoretical Physics
  • Algebraic structures and combinatorial models
  • Polynomial and algebraic computation
  • Advanced Topics in Algebra
  • Cryptography and Residue Arithmetic

Yang-Hui He has published research extensively in several venues. The most frequent publication outlets include:

  • arXiv (Cornell University)
  • Physics Letters B
  • International Journal of Data Science in the Mathematical Sciences
  • inSTEMM Journal
  • Journal of Symbolic Computation

Notable recent research papers are:

  • Quiver mutations, Seiberg duality, and machine learning, 2020, Physical review. D/Physical review. D.
  • Machine learning Calabi-Yau hypersurfaces, 2022, Physical review. D/Physical review. D.
  • Machine learning Calabi-Yau four-folds, 2021, Physics Letters B
  • Machine-learning mathematical structures, 2022, International Journal of Data Science in the Mathematical Sciences
  • Machine learning Lie structures & applications to physics, 2021, Physics Letters B

Frequent co-authors who have collaborated with Yang-Hui He on multiple publications include:

  • Edward Hirst
  • Vishnu Jejjala
  • Jiakang Bao
  • Elli Heyes
  • Kyu-Hwan Lee

Yang-Hui He has contributed to academic literature beyond articles, with several book publications through established publishers. These include:

  • The Calabi-Yau Landscape, 2021, Springer Nature
  • Machine Learning in Pure Mathematics and Theoretical Physics, 2022, WORLD SCIENTIFIC (EUROPE) eBooks
  • ADE, expected 2025, Cambridge University Press

Best Publications

  • Counting BPS operators in gauge theories: quivers, syzygies and plethystics

    Sergio Benvenuti;Sergio Benvenuti;Bo Feng;Bo Feng;Amihay Hanany;Yang-Hui He

  • D-brane gauge theories from toric singularities and toric duality

    Bo Feng;Amihay Hanany;Yang-Hui He

  • Dimer models from mirror symmetry and quivering amoebae

    Bo Feng;Yang-Hui He;Kristian D. Kennaway;Cumrun Vafa

  • Counting gauge invariants: The Plethystic program

    Bo Feng;Bo Feng;Amihay Hanany;Yang-Hui He

  • The exact MSSM spectrum from string theory

    Volker Braun;Yang-Hui He;Burt A. Ovrut;Tony Pantev

  • A heterotic standard model

    Volker Braun;Yang-Hui He;Burt A. Ovrut;Tony Pantev

  • Toric duality as Seiberg duality and brane diamonds

    Bo Feng;Amihay Hanany;Yang-Hui He;Angel M. Uranga

  • THE MASTER SPACE OF N=1 GAUGE THEORIES

    Davide Forcella;Davide Forcella;Amihay Hanany;Amihay Hanany;Yang-Hui He;Alberto Zaffaroni

  • Exploring positive monad bundles and a new heterotic standard model

    Lara B. Anderson;James Gray;Yang-Hui He;Yang-Hui He;Andre Lukas

  • Phase structure of D-brane gauge theories and toric duality

    Bo Feng;Amihay Hanany;Yang-Hui He

  • SQCD: A Geometric Apercu

    James Gray;Amihay Hanany;Yang-Hui He;Vishnu Jejjala

  • Symmetries of Toric Duality

    Bo Feng;Sebastián Franco;Amihay Hanany;Yang-Hui He

  • A Standard Model from the E8 x E8 Heterotic Superstring

    Volker Braun;Yang-Hui He;Burt A. Ovrut;Tony Pantev

  • A standard model from the E(8) x E(8) heterotic superstring

    Volker Braun;Yang-Hui He;Burt A. Ovrut;Tony Pantev

  • Monad bundles in heterotic string compactifications

    Lara B. Anderson;Yang-Hui He;Andre Lukas

  • SQCD: A Geometric Apercu

    James Gray;Yang-Hui He;Amihay Hanany;Noppadol Mekareeya

  • Quiver theories, soliton spectra and Picard-Lefschetz transformations

    Bo Feng;Amihay Hanany;Yang Hui He;Amer Iqbal

  • Duality walls, duality trees and fractional branes

    S. Franco;A. Hanany;Y. He;P. Kazakopoulos

  • Unhiggsing the del Pezzo

    Bo Feng;Sebastián Franco;Amihay Hanany;Yang-Hui He

  • Traintracks through Calabi-Yau Manifolds: Scattering Amplitudes beyond Elliptic Polylogarithms

    Jacob L. Bourjaily;Yang Hui He;Yang Hui He;Yang Hui He;Andrew J. McLeod;Matt Von Hippel

  • M2-Branes and Quiver Chern-Simons: A Taxonomic Study

    A. Hanany;Y. He

  • Machine-learning the string landscape

    Yang-Hui He;Yang-Hui He;Yang-Hui He

Frequent Co-Authors

Amihay Hanany
Amihay Hanany Imperial College London
Burt A. Ovrut
Burt A. Ovrut University of Pennsylvania
Alberto Zaffaroni
Alberto Zaffaroni University of Milan
Ron Donagi
Ron Donagi University of Pennsylvania
Shing-Tung Yau
Shing-Tung Yau Tsinghua University
Johannes Walcher
Johannes Walcher Heidelberg University
Cumrun Vafa
Cumrun Vafa Harvard University
Andrea Baronchelli
Andrea Baronchelli City, University of London
Jan de Boer
Jan de Boer University of Amsterdam
John H. Schwarz
John H. Schwarz California Institute of Technology

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

Studying Mathematics in the USA opens doors to various related online degrees and career pathways that complement and expand your skill set. For instance, pursuing an ms in data analytics is a natural progression for math graduates interested in harnessing data-driven decision-making in industries like finance, healthcare, and technology.

For those seeking leadership roles or entrepreneurial ventures, many students consider business-oriented degrees. Several mba programs easy to get into provide flexible admissions criteria without compromising educational quality. Online options also make it more accessible for working professionals.

Additionally, aspiring executives might explore easy online mba programs that offer convenience and practicality without sacrificing core business competencies. These programs blend business knowledge with analytical thinking—a powerful combination for math majors.

For those interested in higher-level strategic roles, dba programs online represent a viable avenue. Doctorate-level business administration degrees enhance leadership prowess and research skills, often leading to executive or academic career pathways.

Best Scientists Citing Yang-Hui He

Trending Scientists

Recently Published Articles