World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
42
Citations
7692
World Ranking
6508
National Ranking
1783

Yiying Tong publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Yiying Tong sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 117 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Yiying Tong D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Yiying Tong sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 42 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Yiying Tong is affiliated with Michigan State University in the United States and conducts research primarily in the fields of computer science and biochemistry, genetics, and molecular biology. Their work spans multiple subfields, including computer vision and pattern recognition, computational theory and mathematics, molecular biology, computer graphics and computer-aided design, and biophysics.

The scientist's research focuses on diverse topics such as topological and geometric data analysis, cell image analysis techniques, bioinformatics and genomic networks, face recognition and analysis, homotopy and cohomology in algebraic topology, computer graphics and visualization techniques, and video surveillance and tracking methods.

Yiying Tong is a frequent contributor to various academic venues, with publications appearing notably in arXiv (Cornell University), ACM Transactions on Graphics, Discrete and Continuous Dynamical Systems - B, the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), and Foundations of Data Science.

Recent papers authored or coauthored by Yiying Tong include:

  • Evolutionary de Rham-Hodge method, 2020, Discrete and Continuous Dynamical Systems - B
  • Face Relighting with Geometrically Consistent Shadows, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • HERMES: Persistent spectral graph software, 2021, Foundations of Data Science
  • The de Rham-Hodge Analysis and Modeling of Biomolecules, 2020, Bulletin of Mathematical Biology
  • ILEE: Algorithms and toolbox for unguided and accurate quantitative analysis of cytoskeletal images, 2022, The Journal of Cell Biology

Among frequent collaborators are Guo-Wei Wei, Zhe Su, Rundong Zhao, Michel Sarkis, and Xiaoming Liu, with multiple coauthored works reflecting ongoing research partnerships.

Best Publications

  • FaceWarehouse: A 3D Facial Expression Database for Visual Computing

    Chen Cao;Yanlin Weng;Shun Zhou;Yiying Tong

  • Age-Invariant Face Recognition

    Unsang Park;Yiying Tong;A.K. Jain

  • Discrete differential forms for computational modeling

    Mathieu Desbrun;Eva Kanso;Yiying Tong

  • Discrete multiscale vector field decomposition

    Yiying Tong;Santiago Lombeyda;Anil N. Hirani;Mathieu Desbrun

  • Voronoi-based variational reconstruction of unoriented point sets

    P. Alliez;D. Cohen-Steiner;Y. Tong;M. Desbrun

  • Designing quadrangulations with discrete harmonic forms

    Y. Tong;P. Alliez;D. Cohen-Steiner;M. Desbrun

  • Stable, circulation-preserving, simplicial fluids

    Sharif Elcott;Yiying Tong;Eva Kanso;Peter Schröder

  • Adaptive 3D Face Reconstruction from Unconstrained Photo Collections

    Joseph Roth;Yiying Tong;Xiaoming Liu

  • Spectral conformal parameterization

    Patrick Mullen;Yiying Tong;Pierre Alliez;Mathieu Desbrun

  • Energy-preserving integrators for fluid animation

    Patrick Mullen;Keenan Crane;Dmitry Pavlov;Yiying Tong

  • Tanshinone II A attenuates inflammatory responses of rats with myocardial infarction by reducing MCP-1 expression.

    Z.H. Ren;Y.H. Tong;W. Xu;J. Ma

  • Structure-preserving discretization of incompressible fluids

    Dmitry Pavlov;Patrick Mullen;Yiying Tong;Eva Kanso

  • Geometric, variational integrators for computer animation

    L. Kharevych;Weiwei Yang;Y. Tong;E. Kanso

  • Boundary aligned smooth 3D cross-frame field

    Jin Huang;Yiying Tong;Hongyu Wei;Hujun Bao

  • Persistent homology for the quantitative prediction of fullerene stability.

    Kelin Xia;Xin Feng;Yiying Tong;Guo Wei Wei

  • Mesh quilting for geometric texture synthesis

    Kun Zhou;Xin Huang;Xi Wang;Yiying Tong

  • Mesh puppetry: cascading optimization of mesh deformation with inverse kinematics

    Xiaohan Shi;Kun Zhou;Yiying Tong;Mathieu Desbrun

  • Unconstrained 3D face reconstruction

    Joseph Roth;Yiying Tong;Xiaoming Liu

  • ℓ1-Based Construction of Polycube Maps from Complex Shapes

    Jin Huang;Tengfei Jiang;Zeyun Shi;Yiying Tong

  • Face recognition with temporal invariance: A 3D aging model

    Unsang Park;Yiying Tong;A.K. Jain

  • Adaptive 3D Face Reconstruction from Unconstrained Photo Collections

    Joseph Roth;Yiying Tong;Xiaoming Liu

  • Chapter 7: Discrete differential forms for computational modeling

    Mathieu Desbrun;Eva Kanso;Yiying Tong

Frequent Co-Authors

Mathieu Desbrun
Mathieu Desbrun California Institute of Technology
Guo-Wei Wei
Guo-Wei Wei Michigan State University
Kun Zhou
Kun Zhou Zhejiang University
Jerrold E. Marsden
Jerrold E. Marsden California Institute of Technology
Hujun Bao
Hujun Bao Zhejiang University
Peter Schröder
Peter Schröder California Institute of Technology
Baining Guo
Baining Guo Microsoft (United States)
Xiaoming Liu
Xiaoming Liu University of North Carolina at Chapel Hill
Pierre Alliez
Pierre Alliez French Institute for Research in Computer Science and Automation - INRIA
Heung-Yeung Shum
Heung-Yeung Shum Microsoft (United States)

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