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Shujie Liu

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 47 6411 6224 853 847 224 10620

Shujie Liu publications per year

The chart shows the history of publications by Shujie Liu between 1972 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Shujie Liu published across 54 years, from 1972 to 2025, averaging 6.7 papers a year. Output peaked at 46 publications in 2021. 67 of the 363 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1972 to 2025. Vertical axis: number of publications, 0 to 46. Peak 46 publications in 2021. 1972: 1 publication 1973: 0 publications 1974: 0 publications 1975: 0 publications 1976: 0 publications 1977: 0 publications 1978: 0 publications 1979: 0 publications 1980: 0 publications 1981: 0 publications 1982: 0 publications 1983: 0 publications 1984: 0 publications 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 0 publications 2002: 0 publications 2003: 1 publication 2004: 0 publications 2005: 1 publication 2006: 2 publications 2007: 3 publications 2008: 6 publications 2009: 6 publications 2010: 11 publications 2011: 8 publications 2012: 10 publications 2013: 9 publications 2014: 14 publications 2015: 13 publications 2016: 16 publications 2017: 10 publications 2018: 23 publications 2019: 19 publications 2020: 31 publications 2021: 46 publications 2022: 35 publications 2023: 31 publications 2024: 34 publications 2025: 33 publications
1972 2025

363 publications in total across all disciplines

View publications per year as a table
Shujie Liu: publications per year, 1972 to 2025
Year Publications
1972 1
1973 0
1974 0
1975 0
1976 0
1977 0
1978 0
1979 0
1980 0
1981 0
1982 0
1983 0
1984 0
1985 0
1986 0
1987 0
1988 0
1989 0
1990 0
1991 0
1992 0
1993 0
1994 0
1995 0
1996 0
1997 0
1998 0
1999 0
2000 0
2001 0
2002 0
2003 1
2004 0
2005 1
2006 2
2007 3
2008 6
2009 6
2010 11
2011 8
2012 10
2013 9
2014 14
2015 13
2016 16
2017 10
2018 23
2019 19
2020 31
2021 46
2022 35
2023 31
2024 34
2025 33
Total 363
Download as CSV

Shujie Liu 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 Shujie Liu 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, 222–231 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: 224 publications — 55th percentile

55% 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
222–231 437 224
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

Shujie Liu 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 Shujie Liu 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, 46–47 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: 47 D-Index — 56th percentile

56% 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 47
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
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

Shujie Liu is affiliated with Microsoft Research Asia (China) and has an extensive publication record in the fields of computer science and engineering. The research focus primarily spans artificial intelligence and signal processing, with a significant number of works addressing speech recognition and synthesis, music and audio processing, and natural language processing techniques.

The scientist's work has been published in several key venues, frequently contributing to:

  • arXiv (Cornell University)
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Interspeech 2022
  • SSRN Electronic Journal
  • IEEE/ACM Transactions on Audio Speech and Language Processing

Shujie Liu has collaborated extensively with other researchers, including Jinyu Li, Long Zhou, Furu Wei, Sanyuan Chen, and Chengyi Wang. These frequent coauthors highlight a collaborative approach in advancing research within related domains.

The main research topics covered by Shujie Liu's work include:

  • Speech Recognition and Synthesis
  • Music and Audio Processing
  • Speech and Audio Processing
  • Natural Language Processing Techniques
  • Topic Modeling
  • Speech and dialogue systems
  • Drilling and Well Engineering

Recent papers showcase contributions across various aspects of speech and code processing. Notable works include:

  • "WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing," 2022, published in IEEE Journal of Selected Topics in Signal Processing
  • "CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation," 2021, published on arXiv (Cornell University)
  • "Progress in Neural NLP: Modeling, Learning, and Reasoning," 2020, published in Engineering
  • "CodeBLEU: a Method for Automatic Evaluation of Code Synthesis," 2020, published on arXiv (Cornell University)
  • "Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers," 2023, published on arXiv (Cornell University)

The breadth of Shujie Liu's work is evident in the diversity of subfields, with publications spanning artificial intelligence, signal processing, mechanical engineering, ocean engineering, and mechanics of materials. This range indicates engagement with multiple technical dimensions within and adjacent to speech and language technologies.

Combined, this information depicts a researcher active in advancing computational methods for speech and language, supported by collaborations and frequent contributions to prominent conferences and journals in related scientific domains.

Best Publications

  • WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

    Sanyuan Chen;Chengyi Wang;Zhengyang Chen;Yu Wu

  • Achieving Human Parity on Automatic Chinese to English News Translation

    Hany Hassan;Anthony Aue;Chang Chen;Vishal Chowdhary

  • Neural Speech Synthesis with Transformer Network.

    Naihan Li;Shujie Liu;Yanqing Liu;Sheng Zhao

  • 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

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

    Shuai Lu;Daya Guo;Shuo Ren;Junjie Huang

  • Machine Translation

    Unknown

  • Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

    Unknown

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

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

  • A Recursive Recurrent Neural Network for Statistical Machine Translation

    Shujie Liu;Nan Yang;Mu Li;Ming Zhou

  • CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

    Shuo Ren;Daya Guo;Shuai Lu;Long Zhou

  • Developing Real-Time Streaming Transformer Transducer for Speech Recognition on Large-Scale Dataset

    Xie Chen;Yu Wu;Zhenghao Wang;Shujie Liu

  • Hierarchical Recurrent Neural Network for Document Modeling

    Rui Lin;Shujie Liu;Muyun Yang;Mu Li

  • Learning Entity Representation for Entity Disambiguation

    Zhengyan He;Shujie Liu;Mu Li;Ming Zhou

  • GraphCodeBERT: Pre-training Code Representations with Data Flow

    Daya Guo;Shuo Ren;Shuai Lu;Zhangyin Feng

  • Style Transfer as Unsupervised Machine Translation

    Zhirui Zhang;Shuo Ren;Shujie Liu;Jianyong Wang

  • Virtual View Reconstruction Using Temporal Information

    Shujie Liu;Philip A. Chou;Cha Zhang;Zhengyou Zhang

  • Bilingually-constrained Phrase Embeddings for Machine Translation

    Jiajun Zhang;Shujie Liu;Mu Li;Ming Zhou

  • On the Comparison of Popular End-to-End Models for Large Scale Speech Recognition.

    Jinyu Li;Yu Wu;Yashesh Gaur;Chengyi Wang

  • Continuous Speech Separation with Conformer

    Sanyuan Chen;Yu Wu;Zhuo Chen;Jian Wu

  • Joint Training for Neural Machine Translation Models with Monolingual Data

    Zhirui Zhang;Shujie Liu;Mu Li;Ming Zhou

  • MuTual: A Dataset for Multi-Turn Dialogue Reasoning

    Leyang Cui;Yu Wu;Shujie Liu;Yue Zhang

  • Close to Human Quality TTS with Transformer

    Naihan Li;Shujie Liu;Yanqing Liu;Sheng Zhao

  • Word Alignment Modeling with Context Dependent Deep Neural Network

    Nan Yang;Shujie Liu;Mu Li;Ming Zhou

  • Curriculum Pre-training for End-to-End Speech Translation

    Chengyi Wang;Yu Wu;Shujie Liu;Ming Zhou

Frequent Co-Authors

Ming Zhou
Ming Zhou Langboat Technology
Yu Wu
Yu Wu Microsoft Research Asia (China)
Mu Li
Mu Li Amazon (United States)
Jinyu Li
Jinyu Li Microsoft (United States)
Furu Wei
Furu Wei Microsoft (United States)
Nan Duan
Nan Duan Microsoft Research Asia (China)
Takuya Yoshioka
Takuya Yoshioka Microsoft (United States)
Duyu Tang
Duyu Tang Fudan University
Shuai Ma
Shuai Ma Beihang University
Daxin Jiang
Daxin Jiang Microsoft (United States)

External Links

Personal website of Shujie Liu

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Best Scientists Citing Shujie Liu

Tie-Yan Liu

Tie-Yan Liu

Microsoft (United States)

Publications: 39

Hai Zhao

Hai Zhao

Shanghai Jiao Tong University

Publications: 37

Xu Tan

Xu Tan

Microsoft Research Asia (China)

Publications: 37

Jinsong Su

Jinsong Su

Xiamen University

Publications: 31

Chengqing Zong

Chengqing Zong

Chinese Academy of Sciences

Publications: 27

Jinyu Li

Jinyu Li

Microsoft (United States)

Publications: 26

Zhaopeng Tu

Zhaopeng Tu

Tencent (China)

Publications: 26

Shinji Watanabe

Shinji Watanabe

Carnegie Mellon University

Publications: 25

Deyi Xiong

Deyi Xiong

Tianjin University

Publications: 24

Eiichiro Sumita

Eiichiro Sumita

National Institute of Information and Communications Technology

Publications: 23

Yang Liu

Yang Liu

Tsinghua University

Publications: 22

Junichi Yamagishi

Junichi Yamagishi

National Institute of Informatics

Publications: 21

Philipp Koehn

Philipp Koehn

Johns Hopkins University

Publications: 20

Tao Qin

Tao Qin

Microsoft (United States)

Publications: 19

Hermann Ney

Hermann Ney

RWTH Aachen University

Publications: 19

Lei He

Lei He

University of California, Los Angeles

Publications: 18

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