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Xiaodong Liu

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 45 7104 6898 944 938 429 10405

Xiaodong Liu publications per year

The chart shows the history of publications by Xiaodong Liu between 1997 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Xiaodong Liu published across 29 years, from 1997 to 2025, averaging 17.7 papers a year. Output peaked at 51 publications in 2021. 68 of the 513 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 1997 to 2025. Vertical axis: number of publications, 0 to 51. Peak 51 publications in 2021. 1997: 1 publication 1998: 1 publication 1999: 1 publication 2000: 1 publication 2001: 1 publication 2002: 5 publications 2003: 6 publications 2004: 4 publications 2005: 7 publications 2006: 12 publications 2007: 9 publications 2008: 13 publications 2009: 23 publications 2010: 11 publications 2011: 14 publications 2012: 24 publications 2013: 22 publications 2014: 26 publications 2015: 24 publications 2016: 17 publications 2017: 17 publications 2018: 25 publications 2019: 35 publications 2020: 35 publications 2021: 51 publications 2022: 26 publications 2023: 34 publications 2024: 32 publications 2025: 36 publications
1997 2025

513 publications in total across all disciplines

View publications per year as a table
Xiaodong Liu: publications per year, 1997 to 2025
Year Publications
1997 1
1998 1
1999 1
2000 1
2001 1
2002 5
2003 6
2004 4
2005 7
2006 12
2007 9
2008 13
2009 23
2010 11
2011 14
2012 24
2013 22
2014 26
2015 24
2016 17
2017 17
2018 25
2019 35
2020 35
2021 51
2022 26
2023 34
2024 32
2025 36
Total 513
Download as CSV

Xiaodong 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 Xiaodong 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, 422–431 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: 429 publications — 89th percentile

89% 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 99 429
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

Xiaodong 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 Xiaodong 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, 44–45 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: 45 D-Index — 51st percentile

51% 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 45
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
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

Xiaodong Liu is affiliated with Dalian University of Technology in China. Their research predominantly lies within the domain of Computer Science and Engineering, with a particular emphasis on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Aerospace Engineering, and Information Systems.

Their scholarly output includes numerous publications focused on various advanced topics. Key areas of work comprise:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Advanced Graph Neural Networks
  • Rough Sets and Fuzzy Logic
  • Fuzzy Logic and Control Systems
  • Time Series Analysis and Forecasting

Frequent venues for publication include:

  • arXiv (Cornell University)
  • IEEE Transactions on Fuzzy Systems
  • Expert Systems with Applications
  • IEEE Transactions on Cybernetics
  • 2022 41st Chinese Control Conference (CCC)

Among recent papers authored or co-authored by Xiaodong Liu are:

  • Very Deep Transformers for Neural Machine Translation, 2020, arXiv (Cornell University)
  • HittER: Hierarchical Transformers for Knowledge Graph Embeddings, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Fine-tuning large neural language models for biomedical natural language processing, 2023, Patterns
  • DeepSeek LLM: Scaling Open-Source Language Models with Longtermism, 2024, arXiv (Cornell University)
  • Analysis of Points of Interests Recommended for Leisure Walk Descriptions, 2025, arXiv (Cornell University)

Xiaodong Liu frequently collaborates with several other researchers. Their most regular co-authors include:

  • Jianfeng Gao
  • Qi Lang
  • Witold Pedrycz
  • Wei Lu
  • Lidong Wang

Best Publications

  • Multi-Task Deep Neural Networks for Natural Language Understanding

    Xiaodong Liu;Pengcheng He;Weizhu Chen;Jianfeng Gao

  • SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization

    Haoming Jiang;Pengcheng He;Weizhu Chen;Xiaodong Liu

  • Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing

    Hao Fu;Chunyuan Li;Xiaodong Liu;Jianfeng Gao

  • Approaches to quadratic stability conditions and H/sub /spl infin// control designs for T-S fuzzy systems

    Xiaodong Liu;Qingling Zhang

  • RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers

    Bailin Wang;Richard Shin;Xiaodong Liu;Oleksandr Polozov

  • A Pearson’s correlation coefficient based decision tree and its parallel implementation

    Yashuang Mu;Xiaodong Liu;Lidong Wang

  • Stability Analysis for Neural Networks With Time-Varying Delay Based on Quadratic Convex Combination

    Huaguang Zhang;Feisheng Yang;Xiaodong Liu;Qingling Zhang

  • Selection of logistics center location using Axiomatic Fuzzy Set and TOPSIS methodology in logistics management

    Ye Li;Xiaodong Liu;Yan Chen

  • Using interval information granules to improve forecasting in fuzzy time series

    Wei Lu;Xueyan Chen;Witold Pedrycz;Witold Pedrycz;Witold Pedrycz;Xiaodong Liu

  • Concept analysis via rough set and AFS algebra

    Lidong Wang;Xiaodong Liu

  • The modeling and prediction of time series based on synergy of high-order fuzzy cognitive map and fuzzy c-means clustering

    Wei Lu;Jianhua Yang;Xiaodong Liu;Witold Pedrycz

  • The modeling of time series based on fuzzy information granules

    Wei Lu;Witold Pedrycz;Witold Pedrycz;Xiaodong Liu;Jianhua Yang

  • Time series long-term forecasting model based on information granules and fuzzy clustering

    Weina Wang;Witold Pedrycz;Xiaodong Liu

  • Effective intervals determined by information granules to improve forecasting in fuzzy time series

    Lizhu Wang;Lizhu Wang;Xiaodong Liu;Witold Pedrycz

  • Fuzzy C-Means clustering of incomplete data based on probabilistic information granules of missing values

    Liyong Zhang;Wei Lu;Xiaodong Liu;Witold Pedrycz

  • A generalized method for forecasting based on fuzzy time series

    Wangren Qiu;Xiaodong Liu;Hailin Li

  • The fuzzy clustering analysis based on AFS theory

    Xiaodong Liu;Wei Wang;T. Chai

  • The development of fuzzy decision trees in the framework of Axiomatic Fuzzy Set logic

    Xiaodong Liu;Witold Pedrycz

  • Adaptive neuro-fuzzy algorithm to estimate effective wind speed and optimal rotor speed for variable-speed wind turbine

    Aamer Bilal Asghar;Xiaodong Liu

  • Fuzzy rule based decision trees

    Xianchang Wang;Xiaodong Liu;Witold Pedrycz;Lishi Zhang

Frequent Co-Authors

Witold Pedrycz
Witold Pedrycz University of Alberta
Qingling Zhang
Qingling Zhang Sun Yat-sen University
Zhihao Yang
Zhihao Yang Dalian University of Technology
Huaguang Zhang
Huaguang Zhang Northeastern University
Jiannong Cao
Jiannong Cao Hong Kong Polytechnic University
Bin Jiang
Bin Jiang Nanjing University of Aeronautics and Astronautics
Tianyou Chai
Tianyou Chai Northeastern University
Yue Wang
Yue Wang Zhejiang University
Shaocheng Tong
Shaocheng Tong Liaoning University of Technology

External Links

Personal website of Xiaodong Liu

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Publications: 33

Ju H. Park

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Publications: 24

Zhiwu Li

Zhiwu Li

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Publications: 19

Min Wu

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Publications: 18

Young Hoon Joo

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Publications: 17

Guang-Hong Yang

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Publications: 17

Shouming Zhong

Shouming Zhong

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Publications: 17

Elpiniki I. Papageorgiou

Elpiniki I. Papageorgiou

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Publications: 16

Qingling Zhang

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Publications: 14

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Northeastern University

Publications: 14

Jiuxiang Dong

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Publications: 13

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Yonsei University

Publications: 12

Xiangpeng Xie

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