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Tao Tang publications per year

The chart shows the history of publications by Tao Tang between 1989 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Tao Tang published across 37 years, from 1989 to 2025, averaging 19.5 papers a year. Output peaked at 55 publications in 2020. 45 of the 721 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 1989 to 2025. Vertical axis: number of publications, 0 to 55. Peak 55 publications in 2020. 1989: 2 publications 1990: 2 publications 1991: 4 publications 1992: 4 publications 1993: 4 publications 1994: 7 publications 1995: 8 publications 1996: 6 publications 1997: 1 publication 1998: 2 publications 1999: 7 publications 2000: 6 publications 2001: 13 publications 2002: 17 publications 2003: 20 publications 2004: 12 publications 2005: 11 publications 2006: 12 publications 2007: 20 publications 2008: 16 publications 2009: 24 publications 2010: 22 publications 2011: 21 publications 2012: 25 publications 2013: 41 publications 2014: 42 publications 2015: 36 publications 2016: 24 publications 2017: 38 publications 2018: 38 publications 2019: 43 publications 2020: 55 publications 2021: 41 publications 2022: 29 publications 2023: 23 publications 2024: 25 publications 2025: 20 publications
1989 2025

721 publications in total across all disciplines

View publications per year as a table
Tao Tang: publications per year, 1989 to 2025
Year Publications
1989 2
1990 2
1991 4
1992 4
1993 4
1994 7
1995 8
1996 6
1997 1
1998 2
1999 7
2000 6
2001 13
2002 17
2003 20
2004 12
2005 11
2006 12
2007 20
2008 16
2009 24
2010 22
2011 21
2012 25
2013 41
2014 42
2015 36
2016 24
2017 38
2018 38
2019 43
2020 55
2021 41
2022 29
2023 23
2024 25
2025 20
Total 721
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Tao Tang 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 Tao Tang sits on this spectrum.

No. of scientists
25 50 75 100
Bar chart with 100 bars. Horizontal axis: publications, 42–46 to 537+. Vertical axis: number of scientists, 0 to 112. Most scientists, 112, have 142–146 publications. The last bar groups every scientist with 537 publications or more. 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 scientist 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientist 522–526 publications: 3 scientists 527–531 publications: 1 scientist 532–536 publications: 4 scientists 537+ publications: 100 scientists
42–46 publications 537+

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

View publications distribution as a table
Number of Mathematics scientists by publication count, Research.com 2026 ranking edition. Based on 3,584 ranked scientists.
Publications Scientists
42–46 3
47–51 5
52–56 7
57–61 20
62–66 14
67–71 25
72–76 19
77–81 35
82–86 50
87–91 60
92–96 86
97–101 84
102–106 83
107–111 90
112–116 99
117–121 90
122–126 91
127–131 109
132–136 110
137–141 98
142–146 112
147–151 102
152–156 88
157–161 106
162–166 83
167–171 102
172–176 77
177–181 81
182–186 78
187–191 71
192–196 92
197–201 64
202–206 69
207–211 64
212–216 62
217–221 58
222–226 53
227–231 50
232–236 46
237–241 46
242–246 46
247–251 43
252–256 29
257–261 45
262–266 30
267–271 33
272–276 34
277–281 30
282–286 31
287–291 21
292–296 34
297–301 26
302–306 10
307–311 17
312–316 23
317–321 13
322–326 16
327–331 26
332–336 13
337–341 13
342–346 16
347–351 17
352–356 12
357–361 18
362–366 18
367–371 9
372–376 11
377–381 8
382–386 8
387–391 9
392–396 9
397–401 8
402–406 11
407–411 6
412–416 6
417–421 9
422–426 8
427–431 5
432–436 8
437–441 8
442–446 4
447–451 4
452–456 4
457–461 2
462–466 2
467–471 4
472–476 3
477–481 3
482–486 6
487–491 3
492–496 5
497–501 5
502–506 1
507–511 6
512–516 4
517–521 1
522–526 3
527–531 1
532–536 4
537+ 100
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Tao Tang 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 Tao Tang sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 57 bars. Horizontal axis: D-Index, 30 to 86+. Vertical axis: number of scientists, 0 to 174. Most scientists, 174, have 30 D-Index. The last bar groups every scientist with 86 D-Index or more. 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+

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

View D-Index distribution as a table
Number of Mathematics scientists by D-index, Research.com 2026 ranking edition. Based on 3,584 ranked scientists.
D-Index Scientists
30 174
31 151
32 174
33 117
34 136
35 127
36 145
37 153
38 150
39 150
40 138
41 136
42 93
43 108
44 115
45 112
46 103
47 75
48 59
49 67
50 60
51 57
52 59
53 62
54 60
55 50
56 42
57 54
58 50
59 42
60 41
61 35
62 40
63 21
64 31
65 27
66 29
67 19
68 25
69 17
70 18
71 12
72 14
73 13
74 18
75 9
76 11
77 10
78 9
79 16
80 12
81 10
82 5
83 5
84 13
85 6
86+ 99
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Research.com Recognitions

  • 2017 - Fellow of the American Mathematical Society For contributions to numerical methods for partial differential equations.
  • 2012 - SIAM Fellow For contributions to computational fluid dynamics and in particular, development of adaptive algorithms.

Overview

Tao Tang is affiliated with Hong Kong Baptist University in China. Their research focuses primarily on materials science and engineering, with extensive work in polymers and plastics, materials chemistry, renewable energy, sustainability and the environment, biomaterials, and mechanical engineering.

The scientist has contributed to a broad range of topics including:

  • Flame retardant materials and properties
  • Polymer foaming and composites
  • Polymer composites and self-healing
  • Biodegradable polymer synthesis and properties
  • Synthesis and properties of polymers
  • Supercapacitor materials and fabrication
  • Carbon dioxide utilization in catalysis

Tang has produced a series of recent papers spanning various areas of materials science and environmental applications. Notable publications include:

  • Rational Design of High-Performance Bilayer Solar Evaporator by Using Waste Polyester-Derived Porous Carbon-Coated Wood (2021, Energy & Environment Materials)
  • The Potential and Challenge of Microalgae as Promising Future Food Sources (2022, Trends in Food Science & Technology)
  • Waste-Treating-Waste: Upcycling Discarded Polyester into Metal-Organic Framework Nanorod for Synergistic Interfacial Solar Evaporation and Sulfate-Based Advanced Oxidation Process (2022, Chemical Engineering Journal)
  • Highly Efficient Conversion of Waste Plastic into Thin Carbon Nanosheets for Superior Capacitive Energy Storage (2020, Carbon)
  • Transforming Polystyrene Waste into 3D Hierarchically Porous Carbon for High-Performance Supercapacitors (2020, Chemosphere)

The scientist frequently publishes in venues such as The Cambridge Structural Database, Chemical Engineering Journal, Polymer, arXiv (Cornell University), and SSRN Electronic Journal.

Tang often collaborates with other researchers, including Jie Liu, Haiping Xing, Minggang Li, Jiang Gong, and Jiangan You.

Among accolades, Tao Tang is recognized as a Fellow of the American Mathematical Society for contributions to numerical methods for partial differential equations (2017) and a SIAM Fellow for work in computational fluid dynamics and development of adaptive algorithms (2012).

Best Publications

  • Spectral Methods: Algorithms, Analysis and Applications

    Jie Shen;Tao Tang;Li-Lian Wang

  • Spectral and High-Order Methods with Applications

    Jie Shen;Tao Tang;Zhenhuan Teng

  • Adaptive Mesh Methods for One- and Two-Dimensional Hyperbolic Conservation Laws

    Huazhong Tang;Tao Tang

  • Adaptive Finite Element Approximation for Distributed Elliptic Optimal Control Problems

    Ruo Li;Wenbin Liu;Heping Ma;Tao Tang

  • Stability Analysis of Large Time‐Stepping Methods for Epitaxial Growth Models

    Chuanju Xu;Tao Tang

  • A compact fourth‐order finite difference scheme for the steady incompressible Navier‐Stokes equations

    Ming Li;Tao Tang;Bengt Fornberg

  • Convergence analysis of the Jacobi spectral-collocation methods for Volterra integral equations with a weakly singular kernel

    Yanping Chen;Tao Tang

  • Moving mesh methods in multiple dimensions based on harmonic maps

    Ruo Li;Tao Tang;Pingwen Zhang

  • On large time-stepping methods for the Cahn--Hilliard equation

    Yinnian He;Yunxian Liu;Tao Tang

  • ON SPECTRAL METHODS FOR VOLTERRA INTEGRAL EQUATIONS AND THE CONVERGENCE ANALYSIS

    Tao Tang;Xiang Xu;Jin Cheng

  • A finite difference scheme for partial integro-differential equations with a weakly singular kernel

    Tao Tang

  • An Adaptive Time-Stepping Strategy for the Molecular Beam Epitaxy Models

    Zhonghua Qiao;Zhengru Zhang;Tao Tang

  • The Hermite spectral method for Gaussian-type functions

    Tao Tang

  • Spectral methods for weakly singular Volterra integral equations with smooth solutions

    Yanping Chen;Tao Tang

  • Biomass-derived robust three-dimensional porous carbon for high volumetric performance supercapacitors

    Xiaoguang Liu;Changde Ma;Jiaxin Li;Beata Zielinska

  • A Moving Mesh Finite Element Algorithm for Singular Problems in Two and Three Space Dimensions

    Ruo Li;Tao Tang;Pingwen Zhang

  • On the maximum principle preserving schemes for the generalized Allen–Cahn equation

    Jie Shen;Tao Tang;Jiang Yang

  • Boundary Layer Resolving Pseudospectral Methods for Singular Perturbation Problems

    Tao Tang;Manfred R. Trummer

  • Numerical Analysis of Fully Discretized Crank–Nicolson Scheme for Fractional-in-Space Allen–Cahn Equations

    Tianliang Hou;Tao Tang;Tao Tang;Jiang Yang

  • Characterizing the Stabilization Size for Semi-Implicit Fourier-Spectral Method to Phase Field Equations

    Dong Li;Zhonghua Qiao;Tao Tang

Frequent Co-Authors

Jie Shen
Jie Shen Eastern Institute of Technology, Ningbo
Hermann Brunner
Hermann Brunner Hong Kong Baptist University
Wenbin Liu
Wenbin Liu University of Kent
Derek B. Ingham
Derek B. Ingham University of Sheffield
Yanping Chen
Yanping Chen Samsung Medical Center
Eitan Tadmor
Eitan Tadmor University of Maryland, College Park
Tony F. Chan
Tony F. Chan University of California, Los Angeles
Jinchao Xu
Jinchao Xu Pennsylvania State University
Shuyu Sun
Shuyu Sun King Abdullah University of Science and Technology
Weizhu Bao
Weizhu Bao National University of Singapore

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