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Tao Jiang

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 72 1698 1646 867 836 443 18320

Tao Jiang publications per year

The chart shows the history of publications by Tao Jiang between 1987 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Tao Jiang published across 40 years, from 1987 to 2026, averaging 16.3 papers a year. Output peaked at 40 publications in 2002. 49 of the 651 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1987 to 2026. Vertical axis: number of publications, 0 to 40. Peak 40 publications in 2002. 1987: 2 publications 1988: 4 publications 1989: 3 publications 1990: 4 publications 1991: 8 publications 1992: 5 publications 1993: 9 publications 1994: 11 publications 1995: 8 publications 1996: 11 publications 1997: 10 publications 1998: 8 publications 1999: 15 publications 2000: 18 publications 2001: 6 publications 2002: 40 publications 2003: 23 publications 2004: 23 publications 2005: 16 publications 2006: 13 publications 2007: 17 publications 2008: 17 publications 2009: 12 publications 2010: 19 publications 2011: 16 publications 2012: 18 publications 2013: 14 publications 2014: 16 publications 2015: 19 publications 2016: 16 publications 2017: 14 publications 2018: 13 publications 2019: 25 publications 2020: 33 publications 2021: 28 publications 2022: 20 publications 2023: 35 publications 2024: 33 publications 2025: 39 publications 2026: 10 publications
1987 2026

651 publications in total across all disciplines

View publications per year as a table
Tao Jiang: publications per year, 1987 to 2026
Year Publications
1987 2
1988 4
1989 3
1990 4
1991 8
1992 5
1993 9
1994 11
1995 8
1996 11
1997 10
1998 8
1999 15
2000 18
2001 6
2002 40
2003 23
2004 23
2005 16
2006 13
2007 17
2008 17
2009 12
2010 19
2011 16
2012 18
2013 14
2014 16
2015 19
2016 16
2017 14
2018 13
2019 25
2020 33
2021 28
2022 20
2023 35
2024 33
2025 39
2026 10
Total 651
Download as CSV

Tao Jiang publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Tao Jiang sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 442–451 publications, is where this scientist sits. 32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32–41 publications 991+

This scientist: 443 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108 443
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Tao Jiang D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Tao Jiang sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 72–73 D-Index, is where this scientist sits. 30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30–31 D-Index 131+

This scientist: 72 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189 72
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Research.com Recognitions

  • 2019 - IEEE Fellow For contributions to coding, modulation, and cognitive radio systems design
  • 2007 - ACM Fellow For contributions to computational biology and computational complexity.
  • 2006 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Tao Jiang is affiliated with the University of California, Riverside, in the United States. Their research spans multiple academic disciplines, with significant contributions in computer science, environmental science, and biochemistry, genetics, and molecular biology. Subfields of their expertise include molecular biology, health, toxicology and mutagenesis, artificial intelligence, computational theory and mathematics, and atmospheric science.

Their body of work addresses various scientific topics. Notable areas of focus include mercury impact and mitigation studies, limits and structures in graph theory, advanced graph theory research, heavy metals in the environment, RNA modifications and cancer, RNA and protein synthesis mechanisms, and heavy metal exposure and toxicity.

Tao Jiang has published extensively across several venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Remote Sensing
  • Journal of Hazardous Materials
  • Environmental Science & Technology

Selected recent papers illustrate the range of their research interests:

  • MONN: A Multi-objective Neural Network for Predicting Compound-Protein Interactions and Affinities, 2020, Cell Systems
  • Establishment of noninvasive diabetes risk prediction model based on tongue features and machine learning techniques, 2021, International Journal of Medical Informatics
  • Somatic SF3B1 hotspot mutation in prolactinomas, 2020, Nature Communications
  • Algal Organic Matter Drives Methanogen-Mediated Methylmercury Production in Water from Eutrophic Shallow Lakes, 2021, Environmental Science & Technology
  • A novel machine learning framework for automated biomedical relation extraction from large-scale literature repositories, 2020, Nature Machine Intelligence

Collaboration is an element of Tao Jiang's research activities. Frequent coauthors include:

  • Xingming Zheng
  • Xiaofeng Li
  • Dingyong Wang
  • Jianyang Zeng
  • Lingjia Gu

Awards recognizing contributions to science have been granted to Tao Jiang. These include the IEEE Fellow award in 2019 for work in coding, modulation, and cognitive radio systems design; the ACM Fellow award in 2007 for contributions to computational biology and computational complexity; and election as a Fellow of the American Association for the Advancement of Science (AAAS) in 2006.

Best Publications

  • On the Complexity of Multiple Sequence Alignment

    Lusheng Wang;Tao Jiang

  • Efficient and robust feature extraction by maximum margin criterion

    Haifeng Li;Tao Jiang;Keshu Zhang

  • Alignment of trees: an alternative to tree edit

    Tao Jiang;Lusheng Wang;Kaizhong Zhang

  • IsoLasso: a LASSO regression approach to RNA-Seq based transcriptome assembly.

    Wei Li;Jianxing Feng;Tao Jiang

  • Linear approximation of shortest superstrings

    Avrim Blum;Tao Jiang;Ming Li;John Tromp

  • Minimal NFA problems are hard

    Tao Jiang;B. Ravikumar

  • ChemmineR: a compound mining framework for R

    Yiqun Cao;Anna Charisi;Li-Chang Cheng;Tao Jiang

  • NeoDTI: neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions.

    Fangping Wan;Lixiang Hong;An Xiao;Tao Jiang

  • On the complexity of comparing evolutionary trees

    Jotun Hein;Tao Jiang;Lusheng Wang;Kaizhong Zhang

  • On the Approximation of Shortest Common Supersequencesand Longest Common Subsequences

    Tao Jiang;Ming Li

  • A general edit distance between RNA structures.

    Tao Jiang;Guohui Lin;Bin Ma;Kaizhong Zhang

  • A maximum common substructure-based algorithm for searching and predicting drug-like compounds

    Yiqun Cao;Tao Jiang;Thomas Girke

  • SCALE method for single-cell ATAC-seq analysis via latent feature extraction.

    Lei Xiong;Kui Xu;Kang Tian;Yanqiu Shao

  • MONN: A Multi-objective Neural Network for Predicting Compound-Protein Interactions and Affinities

    Shuya Li;Fangping Wan;Hantao Shu;Tao Jiang;Tao Jiang

  • Assignment of Orthologous Genes via Genome Rearrangement

    Xin Chen;Jie Zheng;Zheng Fu;Peng Nan

  • Current Topics in Computational Molecular Biology

    Tao Jiang;Michael Zhang;Ying Xu

  • Some MAX SNP-hard results concerning unordered labeled trees

    Kaizhong Zhang;Tao Jiang

  • Lower Bounds on Learning Decision Lists and Trees

    Thomas Hancock;Tao Jiang;Ming Li;John Tromp

  • Analysis of Bacterial Community Composition by Oligonucleotide Fingerprinting of rRNA Genes

    Lea Valinsky;Gianluca Della Vedova;Alexandra J. Scupham;Sam Alvey

  • The longest common subsequence problem for sequences with nested arc annotations

    Guohui Lin;Zhi-Zhong Chen;Tao Jiang;Jianjun Wen

Frequent Co-Authors

Ying Xu
Ying Xu University of Georgia
Guohui Lin
Guohui Lin University of Alberta
Oscar H. Ibarra
Oscar H. Ibarra University of California, Santa Barbara
Michael Q. Zhang
Michael Q. Zhang The University of Texas at Dallas
Paul M. B. Vitányi
Paul M. B. Vitányi Centrum Wiskunde & Informatica
James Borneman
James Borneman University of California, Riverside
Lusheng Wang
Lusheng Wang City University of Hong Kong
Stefano Lonardi
Stefano Lonardi University of California, Riverside
Richard M. Karp
Richard M. Karp University of California, Berkeley
Dong Xu
Dong Xu University of Missouri

External Links

Personal website of Tao Jiang Google Scholar page

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Related Online Degrees & Career Pathways

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No matter your academic background, these options can support a dynamic and accessible journey toward your career goals in computer science and beyond.

Best Scientists Citing Tao Jiang

Oscar H. Ibarra

Oscar H. Ibarra

University of California, Santa Barbara

Publications: 48

Lusheng Wang

Lusheng Wang

City University of Hong Kong

Publications: 48

Tatsuya Akutsu

Tatsuya Akutsu

Kyoto University

Publications: 46

Guohui Lin

Guohui Lin

University of Alberta

Publications: 37

Tandy Warnow

Tandy Warnow

University of Illinois at Urbana-Champaign

Publications: 35

Christian Blum

Christian Blum

Spanish National Research Council

Publications: 32

Feiping Nie

Feiping Nie

Northwestern Polytechnical University

Publications: 31

Wing-Kin Sung

Wing-Kin Sung

Chinese University of Hong Kong

Publications: 31

Ying Xu

Ying Xu

University of Georgia

Publications: 29

Kaizhong Zhang

Kaizhong Zhang

University of Western Ontario

Publications: 28

Bernard M. E. Moret

Bernard M. E. Moret

École Polytechnique Fédérale de Lausanne

Publications: 27

Rolf Backofen

Rolf Backofen

University of Freiburg

Publications: 26

Paul M. B. Vitányi

Paul M. B. Vitányi

Centrum Wiskunde & Informatica

Publications: 26

Hong-Wen Deng

Hong-Wen Deng

Tulane University

Publications: 25

Jianxin Wang

Jianxin Wang

Central South University

Publications: 24

Hue Sun Chan

Hue Sun Chan

University of Toronto

Publications: 23

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Jason M. Smith

Jason M. Smith

University of Oxford

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Tomas Edvinsson

Uppsala University

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Ruibin Jiang

Shaanxi Normal University

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Umashankar Subramaniam

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