World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
10937
World Ranking
5834
National Ranking
774

Mathematics

D-Index
49
Citations
10965
World Ranking
1137
National Ranking
62

Xiaoming Yuan 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 Xiaoming Yuan 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: 165 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Xiaoming Yuan 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 Xiaoming Yuan 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: 49 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Xiaoming Yuan is affiliated with the University of Hong Kong in China and has developed a research profile spanning several interconnected fields including engineering, computer science, and mathematics. Their work bridges theory and application, focusing especially on computational mechanics, numerical analysis, and electrical and electronic engineering.

Their publication record reflects significant involvement in areas such as sparse and compressive sensing techniques, advanced optimization algorithms research, and stochastic gradient optimization techniques. Other notable topics in their research include advanced numerical methods in computational mathematics, optimization and variational analysis, model reduction and neural networks, as well as numerical methods in inverse problems.

Xiaoming Yuan has contributed papers to a variety of scientific venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • Inverse Problems
  • SSRN Electronic Journal
  • Mathematical Programming
  • Set-Valued and Variational Analysis

Among their recent papers, notable examples are:

  • "An ADMM numerical approach to linear parabolic state constrained optimal control problems," 2020, Numerische Mathematik
  • "A General Descent Aggregation Framework for Gradient-Based Bi-Level Optimization," 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "A globally convergent proximal Newton-type method in nonsmooth convex optimization," 2022, Mathematical Programming
  • "Phase-transition-free rivets for layered oxide potassium cathodes," 2024, Nano Research
  • "A Generalized Primal-Dual Algorithm with Improved Convergence Condition for Saddle Point Problems," 2022, SIAM Journal on Imaging Sciences

Their collaborative network is notable, with frequent coauthors including Shangzhi Zeng, Jin Zhang, Yongcun Song, Hangrui Yue, and Bingsheng He, indicating ongoing collaborations across various research projects and topics.

Best Publications

  • On the $O(1/n)$ Convergence Rate of the Douglas-Rachford Alternating Direction Method

    Bingsheng He;Xiaoming Yuan

  • The direct extension of ADMM for multi-block convex minimization problems is not necessarily convergent

    Caihua Chen;Bingsheng He;Yinyu Ye;Xiaoming Yuan

  • Recovering Low-Rank and Sparse Components of Matrices from Incomplete and Noisy Observations

    Min Tao;Xiaoming Yuan

  • Linearized augmented Lagrangian and alternating direction methods for nuclear norm minimization

    Junfeng Yang;Xiaoming Yuan

  • Alternating Direction Method with Gaussian Back Substitution for Separable Convex Programming

    Bingsheng He;Min Tao;Xiaoming Yuan

  • Convergence Analysis of Primal-Dual Algorithms for a Saddle-Point Problem: From Contraction Perspective

    Bingsheng He;Xiaoming Yuan

  • Sparse and low-rank matrix decomposition via alternating direction method

    Xiaoming Yuan;Junfeng Yang

  • On non-ergodic convergence rate of Douglas---Rachford alternating direction method of multipliers

    Bingsheng He;Xiaoming Yuan

  • Solving Constrained Total-variation Image Restoration and Reconstruction Problems via Alternating Direction Methods

    Michael K. Ng;Pierre Weiss;Xiaoming Yuan

  • A Note on the Alternating Direction Method of Multipliers

    Deren Han;Xiaoming Yuan

  • Matrix completion via an alternating direction method

    Caihua Chen;Bingsheng He;Xiaoming Yuan

  • Constrained Total Variation Deblurring Models and Fast Algorithms Based on Alternating Direction Method of Multipliers

    Raymond H. Chan;Min Tao;Xiaoming Yuan

  • A STRICTLY CONTRACTIVE PEACEMAN-RACHFORD SPLITTING METHOD FOR CONVEX PROGRAMMING.

    Bingsheng He;Han Liu;Zhaoran Wang;Xiaoming Yuan

  • An approximate proximal-extragradient type method for monotone variational inequalities

    Bing Sheng He;Zhen Hua Yang;Xiao Ming Yuan

  • Adaptive Primal-Dual Hybrid Gradient Methods for Saddle-Point Problems

    Tom Goldstein;Min Li;Xiaoming Yuan;Ernie Esser

  • A splitting method for separable convex programming

    Bingsheng He;Min Tao;Xiaoming Yuan

  • On the Convergence of Primal-Dual Hybrid Gradient Algorithm

    Bingsheng He;Yanfei You;Xiaoming Yuan

  • The Linearized Alternating Direction Method of Multipliers for Dantzig Selector

    Unknown

  • On Full Jacobian Decomposition of the Augmented Lagrangian Method for Separable Convex Programming

    Bingsheng He;Bingsheng He;Liusheng Hou;Xiaoming Yuan

  • Local Linear Convergence of the Alternating Direction Method of Multipliers for Quadratic Programs

    Deren Han;Xiaoming Yuan

  • A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton

    Risheng Liu;Pan Mu;Xiaoming Yuan;Shangzhi Zeng

  • Linearized Alternating Direction Method with Gaussian Back Substitution for Separable Convex Programming

    Bingsheng He;Xiaoming Yuan

Frequent Co-Authors

Bingsheng He
Bingsheng He Nanjing University
Deren Han
Deren Han Nanjing Normal University
Jane J. Ye
Jane J. Ye University of Victoria
Michael K. Ng
Michael K. Ng Hong Kong Baptist University
Risheng Liu
Risheng Liu Dalian University of Technology
Tom Goldstein
Tom Goldstein University of Maryland, College Park
Raymond H. Chan
Raymond H. Chan Lingnan University
Mário A. T. Figueiredo
Mário A. T. Figueiredo Instituto Superior Técnico
Hai Yang
Hai Yang Hong Kong University of Science and Technology
Heinz H. Bauschke
Heinz H. Bauschke University of British Columbia

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