World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
45
Citations
8023
World Ranking
1471
National Ranking
79

Bangti Jin 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 Bangti Jin 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: 171 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Bangti Jin 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 Bangti Jin 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: 45 D-Index — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Overview

Bangti Jin is affiliated with the Chinese University of Hong Kong in China and specializes in research intersecting engineering and mathematics. Their work predominantly contributes to the fields of mathematical physics, computational mechanics, and modeling and simulation.

Their research interests encompass a range of topics, including:

  • Numerical methods in inverse problems
  • Fractional differential equations solutions
  • Advanced mathematical modeling in engineering
  • Numerical methods in engineering
  • Medical imaging techniques and applications
  • Advanced numerical methods in computational mathematics
  • Sparse and compressive sensing techniques

Jin has a significant record of publications in various academic venues, frequently contributing to:

  • arXiv (Cornell University)
  • Inverse Problems
  • Journal of Computational Physics
  • SIAM Journal on Imaging Sciences
  • SIAM Journal on Applied Mathematics

Among recent papers authored or coauthored by Jin are:

  • On the Convergence of Stochastic Gradient Descent for Nonlinear Ill-Posed Problems, 2020, SIAM Journal on Optimization
  • Subdiffusion with time-dependent coefficients: improved regularity and second-order time stepping, 2020, Numerische Mathematik
  • A Unified Primal Dual Active Set Algorithm for Nonconvex Sparse Recovery, 2021, Statistical Science
  • Conditional Variational Autoencoder for Learned Image Reconstruction, 2021, Computation
  • On the discrepancy principle for stochastic gradient descent, 2020, Inverse Problems

Jin frequently collaborates with several coauthors, notably including:

  • Zhi Zhou
  • Riccardo Barbano
  • Yavar Kian
  • Simon Arridge

In addition to journal articles, Jin has contributed to book publications through Springer Nature, with titles such as:

  • Fractional Differential Equations, 2021
  • Numerical Treatment and Analysis of Time-Fractional Evolution Equations, 2023

Best Publications

  • An analysis of the L1 scheme for the subdiffusion equation with nonsmooth data

    Bangti Jin;Raytcho Lazarov;Zhi Zhou

  • A tutorial on inverse problems for anomalous diffusion processes

    Bangti Jin;William Rundell

  • Error Estimates for a Semidiscrete Finite Element Method for Fractional Order Parabolic Equations

    Bangti Jin;Raytcho D. Lazarov;Zhi Zhou

  • Two Fully Discrete Schemes for Fractional Diffusion and Diffusion-Wave Equations with Nonsmooth Data

    Bangti Jin;Raytcho D. Lazarov;Zhi Zhou

  • The Galerkin finite element method for a multi-term time-fractional diffusion equation

    Bangti Jin;Raytcho Lazarov;Yikan Liu;Zhi Zhou

  • Numerical Analysis of Nonlinear Subdiffusion Equations

    Bangti Jin;Buyang Li;Zhi Zhou

  • Correction of High-Order BDF Convolution Quadrature for Fractional Evolution Equations

    Bangti Jin;Buyang Li;Zhi Zhou

  • A direct sampling method to an inverse medium scattering problem

    Kazufumi Ito;Bangti Jin;Jun Zou

  • Inverse Problems: Tikhonov Theory And Algorithms

    Kazufumi Ito;Bangti Jin

  • Numerical methods for time-fractional evolution equations with nonsmooth data: A concise overview

    Bangti Jin;Raytcho Lazarov;Zhi Zhou

  • An inverse problem for a one-dimensional time-fractional diffusion problem

    Bangti Jin;William Rundell

  • Variational formulation of problems involving fractional order differential operators

    Bangti Jin;Bangti Jin;Raytcho D. Lazarov;Joseph E. Pasciak;William Rundell

  • A reconstruction algorithm for electrical impedance tomography based on sparsity regularization

    Bangti Jin;Taufiquar Khan;Peter Maass

  • Fractional Differential Equations

    Unknown

  • An analysis of the Rayleigh---Stokes problem for a generalized second-grade fluid

    Emilia Bazhlekova;Bangti Jin;Raytcho Lazarov;Zhi Zhou

  • Sparsity regularization for parameter identification problems

    Bangti Jin;Peter Maass

  • Error analysis of semidiscrete finite element methods for inhomogeneous time-fractional diffusion

    Bangti Jin;Raytcho Lazarov;Joseph Pasciak;Zhi Zhou

  • A meshless method for some inverse problems associated with the Helmholtz equation

    Bangti Jin;Yao Zheng

  • An analysis of electrical impedance tomography with applications to Tikhonov regularization

    Bangti Jin;Peter Maass

  • Sparsity reconstruction in electrical impedance tomography

    Matthias Gehre;Tobias Kluth;Antti Lipponen;Bangti Jin

  • Error Analysis of a Finite Element Method for the Space-Fractional Parabolic Equation

    Bangti Jin;Raytcho D. Lazarov;Joseph E. Pasciak;Zhi Zhou

Frequent Co-Authors

Zhi Zhou
Zhi Zhou Hong Kong Polytechnic University
Raytcho Lazarov
Raytcho Lazarov Texas A&M University
Buyang Li
Buyang Li Hong Kong Polytechnic University
Kazufumi Ito
Kazufumi Ito North Carolina State University
Joseph E. Pasciak
Joseph E. Pasciak Texas A&M University
William Rundell
William Rundell Texas A&M University
Peter Maass
Peter Maass University of Bremen
Yalchin Efendiev
Yalchin Efendiev Texas A&M University
Liviu Marin
Liviu Marin University of Bucharest
Simon R. Arridge
Simon R. Arridge University College London

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