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Mathematics
China
2026

D-Index & Metrics

Mathematics

D-Index
84
Citations
25817
World Ranking
116
National Ranking
5

Liqun Qi 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 Liqun Qi 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: 498 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Liqun Qi 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 Liqun Qi 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: 84 D-Index — 97th percentile

97% 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 China Leader Award
  • 2025 - Research.com Mathematics in China Leader Award
  • 2023 - Research.com Mathematics in China Leader Award

Overview

Liqun Qi is affiliated with the Hong Kong Polytechnic University in China. Their research spans multiple areas within engineering, computer science, and mathematics, with a strong emphasis on computational mathematics and its applications.

Their recent publications include work published in various academic journals, highlighting advancements in tensor analysis, quaternions, and matrix optimization. Notable papers are:

  • Generalized tensor function via the tensor singular value decomposition based on the T-product, 2020, Linear Algebra and its Applications
  • T-Jordan Canonical Form and T-Drazin Inverse Based on the T-Product, 2020, Communications on Applied Mathematics and Computation
  • Dual Quaternions and Dual Quaternion Vectors, 2022, Communications on Applied Mathematics and Computation
  • Quaternion Matrix Optimization: Motivation and Analysis, 2021, Journal of Optimization Theory and Applications
  • Singular Values of Dual Quaternion Matrices and Their Low-Rank Approximations, 2022, Numerical Functional Analysis and Optimization

Throughout their career, Liqun Qi has collaborated frequently with several researchers, including:

  • Chunfeng Cui
  • Xinzhen Zhang
  • Ziyan Luo
  • Yanwei Xu
  • Gaohang Yu

Their publication record covers contributions to a range of reputable venues, including:

  • arXiv (Cornell University)
  • Communications on Applied Mathematics and Computation
  • Communications in Mathematical Sciences
  • Journal of Scientific Computing
  • Journal of Optimization Theory and Applications

Key fields of study in their work are:

  • Engineering
  • Computer Science
  • Mathematics

Within these fields, their research dives deeply into several subfields such as:

  • Computational Mathematics
  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Computational Mechanics
  • Control and Systems Engineering

The research topics covered by Liqun Qi include:

  • Tensor decomposition and applications
  • Matrix Theory and Algorithms
  • Sparse and Compressive Sensing Techniques
  • Advanced Neuroimaging Techniques and Applications
  • Algebraic and Geometric Analysis
  • Elasticity and Material Modeling
  • Robotic Mechanisms and Dynamics

Best Publications

  • A nonsmooth version of Newton's method

    Liqun Qi;Jie Sun

  • Eigenvalues of a real supersymmetric tensor

    Liqun Qi

  • Convergence Analysis of Some Algorithms for Solving Nonsmooth Equations

    Liqun Qi

  • Nonsmooth Equations: Motivation and Algorithms

    Jong-Shi Pang;Liqun Qi

  • A new look at smoothing Newton methods for nonlinear complementarity problems and box constrained variational inequalities

    Liqun Qi;Defeng Sun;Guanglu Zhou

  • A smoothing method for mathematical programs with equilibrium constraints

    Francisco Facchinei;Houyuan Jiang;Liqun Qi

  • Global and superlinear convergence of the smoothing Newton method and its application to general box constrained variational inequalities

    X. Chen;L. Qi;D. Sun

  • $M$-Tensors and Some Applications

    Liping Zhang;Liqun Qi;Guanglu Zhou

  • Finding the Largest Eigenvalue of a Nonnegative Tensor

    Michael Ng;Liqun Qi;Guanglu Zhou

  • Towards better MR characterization of neural tissues using directional diffusion kurtosis analysis.

    Edward S. Hui;Matthew M. Cheung;Liqun Qi;Ed X. Wu

  • Symmetric nonnegative tensors and copositive tensors

    Liqun Qi

  • Does diffusion kurtosis imaging lead to better neural tissue characterization? A rodent brain maturation study

    Matthew M. Cheung;Edward S. Hui;Kevin C. Chan;Joseph A. Helpern

  • Smoothing Methods and Semismooth Methods for Nondifferentiable Operator Equations

    Xiaojun Chen;Zuhair Nashed;Liqun Qi

  • Tensor Analysis: Spectral Theory and Special Tensors

    Liqun Qi;Ziyan Luo

  • M-tensors and nonsingular M-tensors

    Weiyang Ding;Liqun Qi;Yimin Wei

  • Eigenvalues and invariants of tensors

    Liqun Qi

  • New quasi-Newton methods for unconstrained optimization problems

    Zengxin Wei;Guoyin Li;Liqun Qi

  • On the Constant Positive Linear Dependence Condition and Its Application to SQP Methods

    Liqun Qi;Zengxin Wei

  • H + -eigenvalues of Laplacian and signless Laplacian tensors

    Liqun Qi

  • A New Nonsmooth Equations Approach to Nonlinear Complementarity Problems

    Houyuan Jiang;Liqun Qi

  • Reformulation : nonsmooth, piecewise smooth, semismooth and smoothing methods

    Masao Fukushima;Liqun Qi

Frequent Co-Authors

Yimin Wei
Yimin Wei Fudan University
Zheng-Hai Huang
Zheng-Hai Huang Tianjin University
Guoyin Li
Guoyin Li University of New South Wales
Defeng Sun
Defeng Sun Hong Kong Polytechnic University
Xiaojun Chen
Xiaojun Chen Hong Kong Polytechnic University
Hong Yan
Hong Yan City University of Hong Kong
Deren Han
Deren Han Nanjing Normal University
John R. Birge
John R. Birge University of Chicago
Yinyu Ye
Yinyu Ye Stanford University
Michael K. Ng
Michael K. Ng Hong Kong Baptist University

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