World's Best Scientists 2026 revealed!
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Mathematics
USA
2026

D-Index & Metrics

Mathematics

D-Index
77
Citations
40549
World Ranking
176
National Ranking
103

Computer Science

D-Index
79
Citations
43441
World Ranking
1118
National Ranking
599

Bin Yu 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 Bin Yu 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: 209 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Bin Yu 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 Bin Yu 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: 77 D-Index — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Mathematics in United States Leader Award
  • 2025 - Research.com Mathematics in United States Leader Award
  • 2014 - Member of the National Academy of Sciences
  • 2013 - Fellow of the American Academy of Arts and Sciences
  • 2008 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2006 - Fellow of John Simon Guggenheim Memorial Foundation
  • 2005 - Fellow of the American Statistical Association (ASA)

Overview

Bin Yu is affiliated with the University of California, Berkeley, in the United States. Their research spans several domains with a strong focus on computer science and mathematics. Within these fields, their work covers subfields such as artificial intelligence, mathematical physics, computational theory and mathematics, molecular biology, and statistics and probability.

The scientist's research topics include:

  • Homotopy and Cohomology in Algebraic Topology
  • Algebraic structures and combinatorial models
  • Topological and Geometric Data Analysis
  • Bone Metabolism and Diseases
  • TGF-β signaling in diseases
  • S100 Proteins and Annexins
  • Advanced Computational Techniques and Applications

Bin Yu has contributed to multiple publications across various venues. Frequent publication outlets include arXiv (Cornell University) with five works, and journals such as the Journal of Orthopaedic Translation, IEEE Transactions on Instrumentation and Measurement, Proceedings of the National Academy of Sciences, and Econometrica.

Recent papers feature the following:

  • Same Root Different Leaves: Time Series and Cross-Sectional Methods in Panel Data, 2023, Econometrica
  • The CD163/TWEAK/Fn14 axis: A potential therapeutic target for alleviating inflammatory bone loss, 2024, Journal of Orthopaedic Translation
  • SCADA Data-Driven Spatio-Temporal Graph Convolutional Neural Network for Wind Turbine Fault Diagnosis, 2025, IEEE Transactions on Instrumentation and Measurement
  • Fast Interpretable Greedy-Tree Sums, 2025, Proceedings of the National Academy of Sciences
  • The Data Science Process: One Culture, 2020, International Statistical Review

Bin Yu has collaborated frequently with several coauthors, including Deqiang He, Jiachen Ma, Yang Fu, Zhihao Wang, and Jie Wu.

They have received multiple honors over the years including:

  • Member of the National Academy of Sciences, 2014
  • Fellow of the American Academy of Arts and Sciences, 2013
  • Fellow of the American Association for the Advancement of Science (AAAS), 2008
  • Fellow of John Simon Guggenheim Memorial Foundation, 2006
  • Fellow of the American Statistical Association (ASA), 2005

Best Publications

  • Adaptive wavelet thresholding for image denoising and compression

    S.G. Chang;Bin Yu;M. Vetterli

  • Spatially adaptive wavelet thresholding with context modeling for image denoising

    S.G. Chang;Bin Yu;M. Vetterli

  • On Model Selection Consistency of Lasso

    Peng Zhao;Bin Yu

  • Artificial intelligence and statistics

    Bin Yu;Karl Kumbier

  • Definitions, methods, and applications in interpretable machine learning.

    W. James Murdoch;Chandan Singh;Karl Kumbier;Reza Abbasi-Asl;Reza Abbasi-Asl

  • A Unified Framework for High-Dimensional Analysis of $M$-Estimators with Decomposable Regularizers

    Sahand N. Negahban;Pradeep Ravikumar;Martin J. Wainwright;Bin Yu

  • The minimum description length principle in coding and modeling

    A. Barron;J. Rissanen;Bin Yu

  • Spectral clustering and the high-dimensional stochastic blockmodel

    Karl Rohe;Sourav Chatterjee;Bin Yu

  • Reconstructing visual experiences from brain activity evoked by natural movies

    Shinji Nishimoto;An T. Vu;Thomas Naselaris;Yuval Benjamini

  • Boosting With the L2 Loss

    Peter Lukas Bühlmann;Bin Yu

  • LASSO-TYPE RECOVERY OF SPARSE REPRESENTATIONS FOR HIGH-DIMENSIONAL DATA

    Nicolai Meinshausen;Bin Yu

  • High-dimensional covariance estimation by minimizing ℓ1-penalized log-determinant divergence

    Pradeep Ravikumar;Martin J. Wainwright;Garvesh Raskutti;Bin Yu

  • Model Selection and the Principle of Minimum Description Length

    Mark H Hansen;Bin Yu

  • Metalearners for estimating heterogeneous treatment effects using machine learning

    Sören R. Künzel;Jasjeet S. Sekhon;Peter J. Bickel;Bin Yu

  • Analyzing Bagging

    Unknown

  • The composite absolute penalties family for grouped and hierarchical variable selection

    Peng Zhao;Guilherme Rocha;Bin Yu

  • Internet tomography

    A. Coates;A.O. Hero;R. Nowak;Bin Yu

  • Network Tomography: Recent Developments

    Rui Castro;Mark Coates;Gang Liang;Robert Nowak

  • Minimax Rates of Estimation for High-Dimensional Linear Regression Over $ll_q$ -Balls

    G. Raskutti;M. J. Wainwright;Bin Yu

  • Boosting with early stopping: Convergence and consistency

    Tong Zhang;Bin Yu

  • Restricted Eigenvalue Properties for Correlated Gaussian Designs

    Garvesh Raskutti;Martin J. Wainwright;Bin Yu

  • Statistical guarantees for the EM algorithm: From population to sample-based analysis

    Sivaraman Balakrishnan;Martin J. Wainwright;Bin Yu

Frequent Co-Authors

Martin Vetterli
Martin Vetterli École Polytechnique Fédérale de Lausanne
Michael I. Jordan
Michael I. Jordan University of California, Berkeley
Pradeep Ravikumar
Pradeep Ravikumar Carnegie Mellon University
Peter J. Bickel
Peter J. Bickel University of California, Berkeley
Terence P. Speed
Terence P. Speed Walter and Eliza Hall Institute of Medical Research
Jorma Rissanen
Jorma Rissanen Helsinki Institute for Information Technology
Jack L. Gallant
Jack L. Gallant University of California, Berkeley
Susan E. Celniker
Susan E. Celniker Lawrence Berkeley National Laboratory

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