World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
39
Citations
6059
World Ranking
2217
National Ranking
936

Engineering and Technology

D-Index
41
Citations
6552
World Ranking
6999
National Ranking
1910

Lili Ju 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 Lili Ju 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: 138 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Lili Ju 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 Lili Ju 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: 39 D-Index — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Overview

Lili Ju is a researcher affiliated with the University of South Carolina in the United States. Their work spans multiple disciplines including engineering, computer science, and mathematics, with a strong focus on numerical analysis and computational mechanics.

The main areas of study in their research include:

  • Numerical Analysis
  • Computational Mechanics
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Materials Chemistry

Lili Ju has contributed extensively to topics related to differential equations and numerical methods, advanced numerical methods in computational mathematics, and numerical methods for differential equations. Additional research topics cover solidification and crystal growth phenomena, model reduction and neural networks, advanced mathematical modeling in engineering, and advanced graph neural networks.

Frequent publication venues for Lili Ju include:

  • arXiv (Cornell University)
  • Journal of Computational Physics
  • Journal of Scientific Computing
  • SSRN Electronic Journal
  • Computer Methods in Applied Mechanics and Engineering

Frequent co-authors collaborating with Lili Ju are:

  • Zhu Wang
  • Zhonghua Qiao
  • Rihui Lan
  • Anthony Gruber
  • Max Gunzburger

Recent publications by Lili Ju include:

  • Maximum Bound Principles for a Class of Semilinear Parabolic Equations and Exponential Time-Differencing Schemes, 2021, SIAM Review
  • Maximum bound principle preserving integrating factor Runge-Kutta methods for semilinear parabolic equations, 2021, Journal of Computational Physics
  • Stabilized Integrating Factor Runge--Kutta Method and Unconditional Preservation of Maximum Bound Principle, 2021, SIAM Journal on Scientific Computing
  • Generalized SAV-Exponential Integrator Schemes for Allen--Cahn Type Gradient Flows, 2022, SIAM Journal on Numerical Analysis
  • A comparison of neural network architectures for data-driven reduced-order modeling, 2022, Computer Methods in Applied Mechanics and Engineering

Best Publications

  • Convergence of the Lloyd Algorithm for Computing Centroidal Voronoi Tessellations

    Qiang Du;Maria Emelianenko;Lili Ju

  • Constrained Centroidal Voronoi Tessellations for Surfaces

    Qiang Du;Max D. Gunzburger;Lili Ju

  • Maximum principle preserving exponential time differencing schemes for the nonlocal Allen Cahn equation

    Qiang Du;Lili Ju;Xiao Li;Xiao Li;Xiao Li;Zhonghua Qiao

  • Probabilistic methods for centroidal Voronoi tessellations and their parallel implementations

    Lili Ju;Qiang Du;Max Gunzburger

  • Maximum bound principles for a class of semilinear parabolic equations and exponential time-differencing schemes

    Qiang Du;Lili Ju;Xiao Li;Xiao Li;Zhonghua Qiao

  • P-MVSNet: Learning Patch-Wise Matching Confidence Aggregation for Multi-View Stereo

    Keyang Luo;Tao Guan;Lili Ju;Haipeng Huang

  • Efficient linear schemes with unconditional energy stability for the phase field elastic bending energy model

    Xiaofeng Yang;Xiaofeng Yang;Lili Ju

  • A multiresolution method for climate system modeling: application of spherical centroidal Voronoi tessellations

    Todd Ringler;Lili Ju;Max Gunzburger

  • DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation

    Xinyi Wu;Zhenyao Wu;Hao Guo;Lili Ju

  • Linear and unconditionally energy stable schemes for the binary fluid–surfactant phase field model

    Xiaofeng Yang;Lili Ju

  • Fast Explicit Integration Factor Methods for Semilinear Parabolic Equations

    Lili Ju;Jian Zhang;Liyong Zhu;Qiang Du

  • Semantic Stereo Matching With Pyramid Cost Volumes

    Zhenyao Wu;Xinyi Wu;Xiaoping Zhang;Song Wang

  • Exploring a Multiresolution Modeling Approach within the Shallow-Water Equations

    Todd D. Ringler;Doug Jacobsen;Max Gunzburger;Lili Ju

  • Energy stability and error estimates of exponential time differencing schemes for the epitaxial growth model without slope selection

    Lili Ju;Xiao Li;Zhonghua Qiao;Hui Zhang

  • Stabilized linear semi-implicit schemes for the nonlocal Cahn–Hilliard equation

    Qiang Du;Lili Ju;Xiao Li;Zhonghua Qiao

  • Voronoi-based finite volume methods, optimal Voronoi meshes, and PDEs on the sphere ☆

    Qiang Du;Max D. Gunzburger;Lili Ju

  • An Edge-Weighted Centroidal Voronoi Tessellation Model for Image Segmentation

    Jie Wang;Lili Ju;Xiaoqiang Wang

  • Attention-Aware Multi-View Stereo

    Keyang Luo;Tao Guan;Lili Ju;Yuesong Wang

  • A Stable Multistep Scheme for Solving Backward Stochastic Differential Equations

    Weidong Zhao;Guannan Zhang;Lili Ju

  • Voronoi Tessellations and Their Application to Climate and Global Modeling

    Lili Ju;Todd Ringler;Max Gunzburger

  • Meshfree, probabilistic determination of point sets and support regions for meshless computing

    Qiang Du;Max Gunzburger;Lili Ju

  • Advances in Studies and Applications of Centroidal Voronoi Tessellations

    Qiang Du;Max Gunzburger;Lili Ju

Frequent Co-Authors

Max D. Gunzburger
Max D. Gunzburger Florida State University
Qiang Du
Qiang Du Columbia University
Xiao Li
Xiao Li China University of Mining and Technology
Song Wang
Song Wang University of South Carolina
Stephen F. Price
Stephen F. Price Los Alamos National Laboratory
Roger Temam
Roger Temam Indiana University
Yu Cao
Yu Cao University of Minnesota
Li-Shi Luo
Li-Shi Luo Old Dominion University
Gaël Durand
Gaël Durand Grenoble Alpes University
Xiao-Ping Zhang
Xiao-Ping Zhang University of Birmingham

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