World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
35
Citations
5834
World Ranking
2756
National Ranking
1129

Jack Xin 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 Jack Xin 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: 207 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.

Jack Xin 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 Jack Xin 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: 35 D-Index — 25th percentile

25% 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

  • 2020 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2013 - Fellow of the American Mathematical Society
  • 2003 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

Jack Xin is a researcher affiliated with the University of California, Irvine in the United States. Their academic work spans primarily across the fields of Computer Science and Mathematics, with a significant focus on specialized subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Modeling and Simulation, and Statistical and Nonlinear Physics.

Their research covers a variety of topics, notable among them are Sparse and Compressive Sensing Techniques, Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning, Mathematical Biology related to Tumor Growth, Medical Image Segmentation Techniques, Model Reduction and Neural Networks, and Advanced Mathematical Modeling in Engineering.

Recent publications by Jack Xin demonstrate a diverse range of contributions. Noteworthy papers include:

  • Structured Sparsity of Convolutional Neural Networks via Nonconvex Sparse Group Regularization (2021) published in Frontiers in Applied Mathematics and Statistics
  • A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford--Shah Color and Multiphase Image Segmentation (2021) in SIAM Journal on Imaging Sciences
  • Fourier-Mixed Window Attention: Accelerating Informer for Long Sequence Time-Series Forecasting (2023) published on arXiv (Cornell University)
  • Spectral analysis and computation for homogenization of advection diffusion processes in steady flows (2020) in Journal of Mathematical Physics
  • A Recurrent Neural Network and Differential Equation Based Spatiotemporal Infectious Disease Model with Application to COVID-19 (2020) on bioRxiv (Cold Spring Harbor Laboratory)

Frequent collaborators in Jack Xin's work include Zhiwen Zhang, Zhongjian Wang, Kevin Bui, Fredrick Park, and Yingyong Qi.

Their publications have appeared repeatedly in key venues such as arXiv (Cornell University), IEEE Access, SSRN Electronic Journal, Frontiers in Applied Mathematics and Statistics, and Multiscale Modeling and Simulation.

Jack Xin has been recognized as a Fellow of the American Association for the Advancement of Science (AAAS) since 2020, a Fellow of the American Mathematical Society from 2013, and a Fellow of the John Simon Guggenheim Memorial Foundation since 2003.

Best Publications

  • Front Propagation in Heterogeneous Media

    Jack Xin

  • Minimization of $ll_{1-2}$ for Compressed Sensing

    Penghang Yin;Yifei Lou;Q. I. He;Jack Xin

  • A Convex Model for Nonnegative Matrix Factorization and Dimensionality Reduction on Physical Space

    E. Esser;M. Moller;S. Osher;G. Sapiro

  • A Weighted Difference of Anisotropic and Isotropic Total Variation Model for Image Processing

    Yifei Lou;Tieyong Zeng;Stanley J. Osher;Jack Xin

  • A Method for Finding Structured Sparse Solutions to Nonnegative Least Squares Problems with Applications

    Ernie Esser;Yifei Lou;Jack Xin

  • Computing Sparse Representation in a Highly Coherent Dictionary Based on Difference of L 1 and L 2

    Yifei Lou;Penghang Yin;Qi He;Jack Xin

  • Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

    Penghang Yin;Jiancheng Lyu;Shuai Zhang;Stanley J. Osher

  • Existence of planar flame fronts in convective-diffusive periodic media

    Jack X. Xin

  • Minimization of Transformed $L_1$ Penalty: Theory, Difference of Convex Function Algorithm, and Robust Application in Compressed Sensing

    Shuai Zhang;Jack Xin

  • Existence and nonexistence of traveling waves and reaction-diffusion front propagation in periodic media

    Jack X. Xin

  • Existence of KPP fronts in spatially-temporally periodic advection and variational principle for propagation speeds

    James Nolen;Matthew Rudd;Jack Xin

  • An Introduction to Fronts in Random Media

    Jack Xin

  • Multidimensional Stability of Traveling Waves in a Bistable Reaction–Diffusion Equation, I

    J.X. Xin

  • On the Incompressible Fluid Limit and the Vortex Motion Law of the Nonlinear Schrödinger Equation

    F.-H. Lin;J. X. Xin

  • A convex model for non-negative matrix factorization and dimensionality reduction on physical space

    Ernie Esser;Michael Möller;Stanley Osher;Guillermo Sapiro

  • Existence of KPP type fronts in space-time periodic shear flows and a study of minimal speeds based on variational principle

    James Nolen;Jack Xin

  • Ratio and difference of $l_1$ and $l_2$ norms and sparse representation with coherent dictionaries

    Penghang Yin;Ernie Esser;Jack Xin

  • Modeling light bullets with the two-dimensional sine—Gordon equation

    J. X. Xin

  • Difference-of-Convex Learning: Directional Stationarity, Optimality, and Sparsity

    Miju Ahn;Jong-Shi Pang;Jack Xin

  • Deep Learning for Real-Time Crime Forecasting and Its Ternarization

    Bao Wang;Penghang Yin;Andrea Louise Bertozzi;P. Jeffrey Brantingham

  • BinaryRelax: A Relaxation Approach For Training Deep Neural Networks With Quantized Weights

    Penghang Yin;Shuai Zhang;Jiancheng Lyu;Stanley J. Osher

Frequent Co-Authors

Yifei Lou
Yifei Lou University of North Carolina at Chapel Hill
Stanley Osher
Stanley Osher University of California, Los Angeles
Gregory L. Eyink
Gregory L. Eyink Johns Hopkins University
Andrea L. Bertozzi
Andrea L. Bertozzi University of California, Los Angeles
Wen-Long Jin
Wen-Long Jin University of California, Irvine
Fanghua Lin
Fanghua Lin Courant Institute of Mathematical Sciences
Guillermo Sapiro
Guillermo Sapiro Princeton University
Fan-Gang Zeng
Fan-Gang Zeng University of California, Irvine
Anthony Peirce
Anthony Peirce University of British Columbia
Jerome V. Moloney
Jerome V. Moloney University of Arizona

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