World's Best Scientists 2026 revealed!
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Tao Qin

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 65 2432 2356 1219 1174 295 19765

Tao Qin publications per year

The chart shows the history of publications by Tao Qin between 2004 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Tao Qin published across 22 years, from 2004 to 2025, averaging 18.9 papers a year. Output peaked at 73 publications in 2022. 50 of the 416 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 2004 to 2025. Vertical axis: number of publications, 0 to 73. Peak 73 publications in 2022. 2004: 3 publications 2005: 9 publications 2006: 4 publications 2007: 9 publications 2008: 9 publications 2009: 1 publication 2010: 7 publications 2011: 8 publications 2012: 3 publications 2013: 9 publications 2014: 10 publications 2015: 14 publications 2016: 11 publications 2017: 19 publications 2018: 23 publications 2019: 39 publications 2020: 24 publications 2021: 52 publications 2022: 73 publications 2023: 39 publications 2024: 23 publications 2025: 27 publications
2004 2025

416 publications in total across all disciplines

View publications per year as a table
Tao Qin: publications per year, 2004 to 2025
Year Publications
2004 3
2005 9
2006 4
2007 9
2008 9
2009 1
2010 7
2011 8
2012 3
2013 9
2014 10
2015 14
2016 11
2017 19
2018 23
2019 39
2020 24
2021 52
2022 73
2023 39
2024 23
2025 27
Total 416
Download as CSV

Tao Qin 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 Qin 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, 292–301 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: 295 publications — 73rd percentile

73% 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
292–301 293 295
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
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 Qin 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 Qin 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, 64–65 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: 65 D-Index — 83rd percentile

83% 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 65
66–67 249
68–69 213
70–71 192
72–73 189
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 - ACM Senior Member

Overview

Tao Qin is a researcher affiliated with Microsoft in the United States. Their work primarily revolves around computer science with a strong focus on artificial intelligence, signal processing, and computer vision. Tao Qin has contributed extensively to topics in natural language processing techniques, topic modeling, speech recognition and synthesis, and music and audio processing. Their research also covers computational drug discovery methods and domain adaptation and few-shot learning.

The scientist has published in a variety of well-known venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Briefings in Bioinformatics
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • SSRN Electronic Journal

Tao Qin has collaborated regularly with several co-authors, including:

  • Tie-Yan Liu
  • Yingce Xia
  • Shufang Xie
  • Lijun Wu
  • Xu Tan

Some notable recent publications by Tao Qin are:

  • "BioGPT: generative pre-trained transformer for biomedical text generation and mining", 2022, Briefings in Bioinformatics
  • "FastSpeech 2: Fast and High-Quality End-to-End Text-to-Speech", 2024, arXiv (Cornell University)
  • "MPNet: Masked and Permuted Pre-training for Language Understanding", 2020, arXiv (Cornell University)
  • "Image-to-Image Translation: Methods and Applications", 2021, IEEE Transactions on Multimedia
  • "R-Drop: Regularized Dropout for Neural Networks", 2021, arXiv (Cornell University)

The main fields of study Tao Qin has contributed to include:

  • Computer Science

Within computer science, subfields of interest are:

  • Artificial Intelligence
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Molecular Biology
  • Computational Theory and Mathematics

The topics frequently addressed in Tao Qin's research output include:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Speech Recognition and Synthesis
  • Music and Audio Processing
  • Speech and Audio Processing
  • Computational Drug Discovery Methods
  • Domain Adaptation and Few-Shot Learning

In 2019, Tao Qin was recognized as an ACM Senior Member.

Best Publications

  • Learning to rank: from pairwise approach to listwise approach

    Zhe Cao;Tao Qin;Tie-Yan Liu;Ming-Feng Tsai

  • BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining

    Unknown

  • Dual learning for machine translation

    Di He;Yingce Xia;Tao Qin;Liwei Wang

  • Generalizing to Unseen Domains: A Survey on Domain Generalization

    Jindong Wang;Cuiling Lan;Chang Liu;Yidong Ouyang

  • Achieving Human Parity on Automatic Chinese to English News Translation

    Hany Hassan;Anthony Aue;Chang Chen;Vishal Chowdhary

  • LETOR: A benchmark collection for research on learning to rank for information retrieval

    Tao Qin;Tie-Yan Liu;Jun Xu;Hang Li

  • Neural Architecture Optimization

    Renqian Luo;Fei Tian;Tao Qin;Enhong Chen

  • LETOR: Benchmark Dataset for Research on Learning to Rank for Information Retrieval

    Tie-Yan Liu;Jun Xu;Tao Qin;Wenying Xiong

  • An Empirical Study on Learning to Rank of Tweets

    Yajuan Duan;Long Jiang;Tao Qin;Ming Zhou

  • Dual Learning for Machine Translation

    Yingce Xia;Di He;Tao Qin;Liwei Wang

  • Feature selection for ranking

    Xiubo Geng;Tie-Yan Liu;Tao Qin;Hang Li

  • Introducing LETOR 4.0 Datasets.

    Tao Qin;Tie-Yan Liu

  • Generalizing to Unseen Domains: A Survey on Domain Generalization.

    Jindong Wang;Cuiling Lan;Chang Liu;Yidong Ouyang

  • AdaRNN: Adaptive Learning and Forecasting of Time Series

    Yuntao Du;Jindong Wang;Wenjie Feng;Sinno Pan

  • FRank: a ranking method with fidelity loss

    Ming-Feng Tsai;Tie-Yan Liu;Tao Qin;Hsin-Hsi Chen

  • Question Answering and Question Generation as Dual Tasks

    Duyu Tang;Nan Duan;Tao Qin;Zhao Yan

  • Query dependent ranking using K-nearest neighbor

    Xiubo Geng;Tie-Yan Liu;Tao Qin;Andrew Arnold

  • Supervised rank aggregation

    Yu-Ting Liu;Tie-Yan Liu;Tao Qin;Zhi-Ming Ma

  • A general approximation framework for direct optimization of information retrieval measures

    Tao Qin;Tie-Yan Liu;Hang Li

  • Web image clustering by consistent utilization of visual features and surrounding texts

    Bin Gao;Tie-Yan Liu;Tao Qin;Xin Zheng

  • Deliberation Networks: Sequence Generation Beyond One-Pass Decoding

    Yingce Xia;Fei Tian;Lijun Wu;Jianxin Lin

Frequent Co-Authors

Tie-Yan Liu
Tie-Yan Liu Microsoft (United States)
Xu Tan
Xu Tan Microsoft Research Asia (China)
Wei-Ying Ma
Wei-Ying Ma Tsinghua University
Hang Li
Hang Li ByteDance
Zhou Zhao
Zhou Zhao Zhejiang University
Enhong Chen
Enhong Chen University of Science and Technology of China
Daxin Jiang
Daxin Jiang Microsoft (United States)
Liwei Wang
Liwei Wang Peking University
Bo An
Bo An Nanyang Technological University
Xueqi Cheng
Xueqi Cheng Chinese Academy of Sciences

External Links

Personal website of Tao Qin Google Scholar page

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Best Scientists Citing Tao Qin

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Tie-Yan Liu

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Publications: 93

Maarten de Rijke

Maarten de Rijke

University of Amsterdam

Publications: 48

Xueqi Cheng

Xueqi Cheng

Chinese Academy of Sciences

Publications: 44

Jiafeng Guo

Jiafeng Guo

Chinese Academy of Sciences

Publications: 39

Yanyan Lan

Yanyan Lan

Chinese Academy of Sciences

Publications: 37

Ming Zhou

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Langboat Technology

Publications: 32

Marcos André Gonçalves

Marcos André Gonçalves

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Publications: 29

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Yi Chang

Jilin University

Publications: 29

Jun Xu

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Renmin University of China

Publications: 28

Xu Tan

Xu Tan

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Publications: 26

Hang Li

Hang Li

ByteDance

Publications: 24

Zhaopeng Tu

Zhaopeng Tu

Tencent (China)

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Michael Bendersky

Michael Bendersky

Google (United States)

Publications: 23

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