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Nan Duan

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 61 3074 2983 412 409 219 14918

Nan Duan publications per year

The chart shows the history of publications by Nan Duan between 2008 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Nan Duan published across 18 years, from 2008 to 2025, averaging 17.8 papers a year. Output peaked at 68 publications in 2022. 42 of the 321 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 2008 to 2025. Vertical axis: number of publications, 0 to 68. Peak 68 publications in 2022. 2008: 1 publication 2009: 2 publications 2010: 2 publications 2011: 1 publication 2012: 2 publications 2013: 4 publications 2014: 2 publications 2015: 1 publication 2016: 4 publications 2017: 8 publications 2018: 12 publications 2019: 23 publications 2020: 44 publications 2021: 49 publications 2022: 68 publications 2023: 56 publications 2024: 31 publications 2025: 11 publications
2008 2025

321 publications in total across all disciplines

View publications per year as a table
Nan Duan: publications per year, 2008 to 2025
Year Publications
2008 1
2009 2
2010 2
2011 1
2012 2
2013 4
2014 2
2015 1
2016 4
2017 8
2018 12
2019 23
2020 44
2021 49
2022 68
2023 56
2024 31
2025 11
Total 321
Download as CSV

Nan Duan 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 Nan Duan 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, 212–221 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: 219 publications — 53rd percentile

53% 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
212–221 490 219
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
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

Nan Duan 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 Nan Duan 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, 60–61 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: 61 D-Index — 79th percentile

79% 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 61
62–63 308
64–65 292
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

Overview

Nan Duan is affiliated with Microsoft Research Asia (China) and has contributed extensively to the field of computer science, particularly focusing on artificial intelligence and multimodal machine learning. Their research encompasses various subfields, including computer vision and pattern recognition, information systems, signal processing, and software engineering.

The scientist's publication record includes nearly 500 papers primarily in computer science. Their work often centers on topics such as topic modeling, natural language processing techniques, and multimodal machine learning applications. Additional areas of specialization include domain adaptation and few-shot learning, software engineering research, advanced image and video retrieval techniques, and video analysis and summarization.

Frequent co-authors collaborating with Nan Duan include:

  • Yeyun Gong
  • Daxin Jiang
  • Ming Zhou
  • Chenfei Wu
  • Weizhu Chen

The scientist's work has appeared in prominent publication venues with repeated contributions to:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Neurocomputing
  • Findings of the Association for Computational Linguistics: ACL 2022

Some recent papers showcasing the breadth of Nan Duan's research include:

  • Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training (2020), published in the Proceedings of the AAAI Conference on Artificial Intelligence
  • scGPT: toward building a foundation model for single-cell multi-omics using generative AI (2024), published in Nature Methods
  • CLIP4Clip: An empirical study of CLIP for end to end video clip retrieval and captioning (2022), published in Neurocomputing
  • UniXcoder: Unified Cross-Modal Pre-training for Code Representation (2022), published in the Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation (2021), published in arXiv (Cornell University)

Best Publications

  • CodeBERT: A Pre-Trained Model for Programming and Natural Languages

    Zhangyin Feng;Daya Guo;Duyu Tang;Nan Duan

  • CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval

    Unknown

  • Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training.

    Gen Li;Nan Duan;Yuejian Fang;Ming Gong

  • K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

    Ruize Wang;Duyu Tang;Nan Duan;zhongyu wei

  • GraphCodeBERT: Pre-training Code Representations with Data Flow

    Daya Guo;Shuo Ren;Shuai Lu;Zhangyin Feng

  • CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

    Shuai Lu;Daya Guo;Shuo Ren;Junjie Huang

  • ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training.

    Weizhen Qi;Yu Yan;Yeyun Gong;Dayiheng Liu

  • Question Generation for Question Answering

    Nan Duan;Duyu Tang;Peng Chen;Ming Zhou

  • XGLUE: A New Benchmark Datasetfor Cross-lingual Pre-training, Understanding and Generation

    Yaobo Liang;Nan Duan;Yeyun Gong;Ning Wu

  • Progress in Neural NLP: Modeling, Learning, and Reasoning

    Ming Zhou;Nan Duan;Shujie Liu;Heung Yeung Shum

  • Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks

    Haoyang Huang;Yaobo Liang;Nan Duan;Ming Gong

  • Question Answering and Question Generation as Dual Tasks

    Duyu Tang;Nan Duan;Tao Qin;Zhao Yan

  • Constraint-Based Question Answering with Knowledge Graph

    Junwei Bao;Nan Duan;Zhao Yan;Ming Zhou

  • Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering

    Shangwen Lv;Daya Guo;Jingjing Xu;Duyu Tang

  • Building Task-Oriented Dialogue Systems for Online Shopping.

    Zhao Yan;Nan Duan;Peng Chen;Ming Zhou

  • Reasoning Over Semantic-Level Graph for Fact Checking

    Wanjun Zhong;Jingjing Xu;Duyu Tang;Zenan Xu

  • Automating code review activities by large-scale pre-training

    Unknown

  • Knowledge-Based Question Answering as Machine Translation

    Junwei Bao;Nan Duan;Ming Zhou;Tiejun Zhao

  • AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

    Unknown

  • Unicoder-VL: A Universal Encoder for Vision and Language by Cross-modal Pre-training

    Gen Li;Nan Duan;Yuejian Fang;Ming Gong

  • Visual Question Generation as Dual Task of Visual Question Answering

    Yikang Li;Nan Duan;Bolei Zhou;Xiao Chu

  • UniViLM: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation.

    Huaishao Luo;Lei Ji;Botian Shi;Haoyang Huang

  • XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation

    Yaobo Liang;Nan Duan;Yeyun Gong;Ning Wu

Frequent Co-Authors

Ming Zhou
Ming Zhou Langboat Technology
Duyu Tang
Duyu Tang Fudan University
Daxin Jiang
Daxin Jiang Microsoft (United States)
Shujie Liu
Shujie Liu Microsoft Research Asia (China)
Zhongyu Wei
Zhongyu Wei Fudan University
Bing Qin
Bing Qin Harbin Institute of Technology
Houqiang Li
Houqiang Li University of Science and Technology of China
Xuanjing Huang
Xuanjing Huang Fudan University
Zhoujun Li
Zhoujun Li Beihang University
Ting Liu
Ting Liu Harbin Institute of Technology

External Links

Personal website of Nan Duan Google Scholar page

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Best Scientists Citing Nan Duan

Xiang Ren

Xiang Ren

University of Southern California

Publications: 27

Zhe Gan

Zhe Gan

Microsoft (United States)

Publications: 26

Pascale Fung

Pascale Fung

Hong Kong University of Science and Technology

Publications: 22

Jingjing Liu

Jingjing Liu

MIT

Publications: 22

Graham Neubig

Graham Neubig

Carnegie Mellon University

Publications: 22

Furu Wei

Furu Wei

Microsoft (United States)

Publications: 20

Iryna Gurevych

Iryna Gurevych

Technical University of Darmstadt

Publications: 20

Ming Zhou

Ming Zhou

Langboat Technology

Publications: 19

Gerhard Weikum

Gerhard Weikum

Max Planck Institute for Informatics

Publications: 19

Qun Liu

Qun Liu

Huawei Technologies (China)

Publications: 17

Heng Ji

Heng Ji

University of Illinois at Urbana-Champaign

Publications: 17

Yu Cheng

Yu Cheng

Microsoft (United States)

Publications: 17

Jianfeng Gao

Jianfeng Gao

Microsoft (United States)

Publications: 16

Daxin Jiang

Daxin Jiang

Microsoft (United States)

Publications: 16

Minghui Qiu

Minghui Qiu

Alibaba Group (China)

Publications: 16

Mohit Bansal

Mohit Bansal

University of North Carolina at Chapel Hill

Publications: 15

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