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Li Deng
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Computer Science
USA
2023

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 110 221 215 123 119 612 81590

Li Deng publications per year

The chart shows the history of publications by Li Deng between 1983 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Li Deng published across 43 years, from 1983 to 2025, averaging 15.4 papers a year. Output peaked at 48 publications in 2015. 25 of the 664 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1983 to 2025. Vertical axis: number of publications, 0 to 48. Peak 48 publications in 2015. 1983: 1 publication 1984: 2 publications 1985: 3 publications 1986: 1 publication 1987: 3 publications 1988: 3 publications 1989: 2 publications 1990: 6 publications 1991: 7 publications 1992: 6 publications 1993: 10 publications 1994: 23 publications 1995: 8 publications 1996: 17 publications 1997: 14 publications 1998: 8 publications 1999: 14 publications 2000: 13 publications 2001: 22 publications 2002: 23 publications 2003: 16 publications 2004: 21 publications 2005: 22 publications 2006: 17 publications 2007: 25 publications 2008: 24 publications 2009: 22 publications 2010: 21 publications 2011: 30 publications 2012: 29 publications 2013: 34 publications 2014: 37 publications 2015: 48 publications 2016: 39 publications 2017: 30 publications 2018: 25 publications 2019: 3 publications 2020: 2 publications 2021: 2 publications 2022: 2 publications 2023: 4 publications 2024: 12 publications 2025: 13 publications
1983 2025

664 publications in total across all disciplines

View publications per year as a table
Li Deng: publications per year, 1983 to 2025
Year Publications
1983 1
1984 2
1985 3
1986 1
1987 3
1988 3
1989 2
1990 6
1991 7
1992 6
1993 10
1994 23
1995 8
1996 17
1997 14
1998 8
1999 14
2000 13
2001 22
2002 23
2003 16
2004 21
2005 22
2006 17
2007 25
2008 24
2009 22
2010 21
2011 30
2012 29
2013 34
2014 37
2015 48
2016 39
2017 30
2018 25
2019 3
2020 2
2021 2
2022 2
2023 4
2024 12
2025 13
Total 664
Download as CSV

Li Deng 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 Li Deng 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, 612–621 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: 612 publications — 96th percentile

96% 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
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 28 612
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

Li Deng 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 Li Deng 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, 110–111 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: 110 D-Index — 98th percentile

98% 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
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 19 110
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

  • 2023 - Research.com Computer Science in United States Leader Award
  • 2005 - IEEE Fellow For contributions to statistical acoustic-phonetic methods for speech processing.
  • 2003 - Fellow of Alfred P. Sloan Foundation

Overview

Li Deng is affiliated with Citadel in the United States and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence. Their research output includes over fifty publications primarily within the domain of computer science, with additional work spanning subfields such as artificial intelligence, computer vision and pattern recognition, electrical and electronic engineering, biomedical engineering, as well as sociology and political science.

The main topics addressed in Li Deng's research encompass:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Metaheuristic Optimization Algorithms Research
  • Imbalanced Data Classification Techniques
  • Electricity Theft Detection Techniques
  • Evolutionary Algorithms and Applications
  • Face and Expression Recognition

Li Deng's publication venues show a preference for high-impact forums, including:

  • arXiv (Cornell University)
  • Swarm and Evolutionary Computation
  • Expert Systems with Applications
  • Electronic Research Archive
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)

Their recent notable papers include:

  • "Rule Learning over Knowledge Graphs: A Review" (2023), published by Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • "Analysis of Points of Interests Recommended for Leisure Walk Descriptions" (2025), published in arXiv (Cornell University)
  • "Multimodal Intelligence: Representation Learning, Information Fusion, and Applications" (2020), published in the IEEE Journal of Selected Topics in Signal Processing
  • "Harnessing the power of artificial intelligence to transform hearing healthcare and research" (2021), published in Nature Machine Intelligence
  • "Imbalanced Data Classification Based on Improved Random-SMOTE and Feature Standard Deviation" (2024), published in Mathematics

Collaborations are evident in Li Deng's work, with frequent co-authorship involving researchers such as Bo Wei, Ying Zhang, Jin Xiao, Shanshan Yang, and Yanrong Huang. These collaborations highlight a network of peers contributing to overlapping or complementary research topics.

Li Deng has been recognized through several professional distinctions, including being named an IEEE Fellow in 2005 for contributions to statistical acoustic-phonetic methods for speech processing and a Fellow of the Alfred P. Sloan Foundation in 2003.

Best Publications

  • Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

    G. Hinton;Li Deng;Dong Yu;G. E. Dahl

  • The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web]

    Li Deng

  • Deep Learning: Methods and Applications

    Li Deng;Dong Yu

  • Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition

    G. E. Dahl;Dong Yu;Li Deng;A. Acero

  • Deep Neural Networks for Acoustic Modeling in Speech Recognition

    Geoffrey Hinton;Li Deng;Dong Yu;George Dahl

  • Convolutional neural networks for speech recognition

    Ossama Abdel-Hamid;Abdel-Rahman Mohamed;Hui Jiang;Li Deng

  • Embedding Entities and Relations for Learning and Inference in Knowledge Bases

    Bishan Yang;Wen-tau Yih;Xiaodong He;Jianfeng Gao

  • Stacked Attention Networks for Image Question Answering

    Zichao Yang;Xiaodong He;Jianfeng Gao;Li Deng

  • Learning deep structured semantic models for web search using clickthrough data

    Po-Sen Huang;Xiaodong He;Jianfeng Gao;Li Deng

  • From captions to visual concepts and back

    Hao Fang;Saurabh Gupta;Forrest Iandola;Rupesh K. Srivastava

  • New types of deep neural network learning for speech recognition and related applications: an overview

    Li Deng;Geoffrey Hinton;Brian Kingsbury

  • MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

    Payal Bajaj;Daniel Campos;Nick Craswell;Li Deng

  • Deep sentence embedding using long short-term memory networks: analysis and application to information retrieval

    Hamid Palangi;Li Deng;Yelong Shen;Jianfeng Gao

  • Recent advances in deep learning for speech research at Microsoft

    Li Deng;Jinyu Li;Jui-Ting Huang;Kaisheng Yao

  • A tutorial survey of architectures, algorithms, and applications for deep learning

    Li Deng

  • The MNIST Database of Handwritten Digit Images for Machine Learning Research

    Li Deng

  • MS MARCO: A Human Generated MAchine Reading COmprehension Dataset.

    Tri Nguyen;Mir Rosenberg;Xia Song;Jianfeng Gao

  • Learning semantic representations using convolutional neural networks for web search

    Yelong Shen;Xiaodong He;Jianfeng Gao;Li Deng

  • A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval

    Yelong Shen;Xiaodong He;Jianfeng Gao;Li Deng

  • Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers

    Jui-Ting Huang;Jinyu Li;Dong Yu;Li Deng

  • The shared views of four research groups )

    Geoffrey Hinton;Li Deng;Dong Yu;George E. Dahl

Frequent Co-Authors

Dong Yu
Dong Yu Tencent (China)
Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Alejandro Acero
Alejandro Acero Apple (United States)
Yifan Gong
Yifan Gong Microsoft (United States)
Jasha Droppo
Jasha Droppo Amazon (United States)
Jinyu Li
Jinyu Li Microsoft (United States)
Lihong Li
Lihong Li Amazon (United States)
Xuedong Huang
Xuedong Huang Microsoft (United States)
Ye-Yi Wang
Ye-Yi Wang Microsoft (United States)
Frank Seide
Frank Seide Microsoft (United States)

External Links

Personal website of Li Deng Google Scholar page

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Best Scientists Citing Li Deng

Mark J. F. Gales

Mark J. F. Gales

University of Cambridge

Publications: 98

Dong Yu

Dong Yu

Tencent (China)

Publications: 96

Yoshua Bengio

Yoshua Bengio

University of Montreal

Publications: 90

Jinyu Li

Jinyu Li

Microsoft (United States)

Publications: 88

Jianfeng Gao

Jianfeng Gao

Microsoft (United States)

Publications: 88

Chin-Hui Lee

Chin-Hui Lee

Georgia Institute of Technology

Publications: 85

Yifan Gong

Yifan Gong

Microsoft (United States)

Publications: 78

Shinji Watanabe

Shinji Watanabe

Carnegie Mellon University

Publications: 72

Li-Rong Dai

Li-Rong Dai

University of Science and Technology of China

Publications: 67

Haizhou Li

Haizhou Li

Chinese University of Hong Kong, Shenzhen

Publications: 64

Michael L. Seltzer

Michael L. Seltzer

Facebook (United States)

Publications: 58

Yanmin Qian

Yanmin Qian

Shanghai Jiao Tong University

Publications: 58

Yu Tsao

Yu Tsao

Research Center for Information Technology Innovation, Academia Sinica

Publications: 56

Björn Schuller

Björn Schuller

Imperial College London

Publications: 54

Steve Renals

Steve Renals

University of Edinburgh

Publications: 53

Tomohiro Nakatani

Tomohiro Nakatani

NTT (Japan)

Publications: 53

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