World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
46
Citations
16382
World Ranking
1315
National Ranking
70

Computer Science

D-Index
48
Citations
16998
World Ranking
6024
National Ranking
797

Yin Zhang 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 Yin Zhang 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: 116 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Yin Zhang 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 Yin Zhang 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: 46 D-Index — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Overview

Yin Zhang is affiliated with the Chinese University of Hong Kong, Shenzhen in China. Their research spans multiple disciplines, primarily focusing on computer science and physics and astronomy. Within these broad fields, their work delves into several subfields including artificial intelligence, atomic and molecular physics and optics, computational theory and mathematics, statistical and nonlinear physics, and condensed matter physics.

Their study topics prominently cover quantum computing algorithms and architecture, quantum information and cryptography, and quantum many-body systems, with additional work related to quantum and electron transport phenomena, physics of superconductivity and magnetism, surface and thin film phenomena, and materials such as Ga2O3.

Recent publications demonstrate a focus on both theoretical and applied aspects of quantum science and materials physics. Notable papers include:

  • Eliminating Surface Oxides of Superconducting Circuits with Noble Metal Encapsulation, 2025, Physical Review Letters
  • Tight-binding band structure of β- and α-phase Ga2O3 and Al2O3, 2022, Journal of Applied Physics
  • Characterizing Matrix-Product States and Projected Entangled-Pair States Preparable via Measurement and Feedback, 2024, PRX Quantum
  • Nonlocal growth of quantum conditional mutual information under decoherence, 2024, Physical review. A/Physical review, A
  • Classical Simulability of Quantum Circuits with Shallow Magic Depth, 2025, PRX Quantum

Yin Zhang has published extensively in several venues, with frequent contributions to:

  • arXiv (Cornell University)
  • Physical Review Letters
  • PRX Quantum
  • Journal of Applied Physics
  • Physical review. A/Physical review, A

Their research collaborations include work with several co-authors, notably:

  • Sarang Gopalakrishnan
  • Ray Chang
  • Nana Shumiya
  • Russell A. McLellan
  • Matthew Bland

Best Publications

  • A New Alternating Minimization Algorithm for Total Variation Image Reconstruction

    Yilun Wang;Junfeng Yang;Wotao Yin;Yin Zhang

  • Alternating Direction Algorithms for $ll_1$-Problems in Compressive Sensing

    Junfeng Yang;Yin Zhang

  • Fixed-Point Continuation for $ll_1$-Minimization: Methodology and Convergence

    Elaine T. Hale;Wotao Yin;Yin Zhang

  • Solving a low-rank factorization model for matrix completion by a nonlinear successive over-relaxation algorithm

    Zaiwen Wen;Wotao Yin;Yin Zhang

  • An efficient augmented Lagrangian method with applications to total variation minimization

    Chengbo Li;Wotao Yin;Hong Jiang;Yin Zhang

  • A Fast Alternating Direction Method for TVL1-L2 Signal Reconstruction From Partial Fourier Data

    Junfeng Yang;Yin Zhang;Wotao Yin

  • A Fast Algorithm for Edge-Preserving Variational Multichannel Image Restoration

    Junfeng Yang;Wotao Yin;Yin Zhang;Yilun Wang

  • On the formulation and theory of the Newton interior-point method for nonlinear programming

    A. S. El-Bakry;A. S. El-Bakry;R. A. Tapia;T. Tsuchiya;Y. Zhang;Y. Zhang

  • Solving large-scale linear programs by interior-point methods under the Matlab ∗ Environment †

    Yin Zhang

  • An efficient algorithm for compressed MR imaging using total variation and wavelets

    Shiqian Ma;Wotao Yin;Yin Zhang;A. Chakraborty

  • An Efficient TVL1 Algorithm for Deblurring Multichannel Images Corrupted by Impulsive Noise

    Junfeng Yang;Yin Zhang;Wotao Yin

  • On Extending Some Primal--Dual Interior-Point Algorithms From Linear Programming to Semidefinite Programming

    Yin Zhang

  • An alternating direction algorithm for matrix completion with nonnegative factors

    Yangyang Xu;Wotao Yin;Zaiwen Wen;Yin Zhang

  • On the Convergence of a Class of Infeasible Interior-Point Methods for the Horizontal Linear Complementarity Problem

    Yin Zhang

  • Augmented Lagrangian alternating direction method for matrix separation based on low-rank factorization

    Y. Shen;Z. Wen;Y. Zhang

  • Group Sparse Optimization by Alternating Direction Method

    Wei Deng;Wotao Yin;Yin Zhang

  • Dynamic ventilation imaging from four-dimensional computed tomography.

    Thomas Guerrero;Thomas Guerrero;Kevin Sanders;Edward Castillo;Yin Zhang

  • A Fast Algorithm for Sparse Reconstruction Based on Shrinkage, Subspace Optimization, and Continuation

    Zaiwen Wen;Wotao Yin;Donald Goldfarb;Yin Zhang

  • Rank-Two Relaxation Heuristics for MAX-CUT and Other Binary Quadratic Programs

    Samuel Burer;Renato D. C. Monteiro;Yin Zhang

  • A Compressive Sensing and Unmixing Scheme for Hyperspectral Data Processing

    Chengbo Li;Ting Sun;K. F. Kelly;Yin Zhang

Frequent Co-Authors

Wotao Yin
Wotao Yin Alibaba Group (China)
Renato D. C. Monteiro
Renato D. C. Monteiro Georgia Institute of Technology
George N. Phillips
George N. Phillips Rice University
Samuel Burer
Samuel Burer University of Iowa
Stephen J. Wright
Stephen J. Wright University of Wisconsin–Madison
Ritsuko Komaki
Ritsuko Komaki The University of Texas MD Anderson Cancer Center
Yinyu Ye
Yinyu Ye Stanford University
Todd D. Gould
Todd D. Gould University of Maryland, Baltimore
Richard H. Byrd
Richard H. Byrd University of Colorado Boulder
Jay D. Keasling
Jay D. Keasling University of California, Berkeley

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