World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 47 6403 6217 2859 2753 362 10899

Sheng Li publications per year

The chart shows the history of publications by Sheng Li between 2000 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Sheng Li published across 27 years, from 2000 to 2026, averaging 23.4 papers a year. Output peaked at 87 publications in 2023. 46 of the 633 publications appeared in the last two years.

No. of publications
20 40 60 80
Bar chart. Horizontal axis: year, 2000 to 2026. Vertical axis: number of publications, 0 to 87. Peak 87 publications in 2023. 2000: 3 publications 2001: 5 publications 2002: 3 publications 2003: 7 publications 2004: 6 publications 2005: 10 publications 2006: 8 publications 2007: 10 publications 2008: 13 publications 2009: 16 publications 2010: 24 publications 2011: 17 publications 2012: 21 publications 2013: 17 publications 2014: 19 publications 2015: 15 publications 2016: 23 publications 2017: 22 publications 2018: 29 publications 2019: 43 publications 2020: 37 publications 2021: 58 publications 2022: 47 publications 2023: 87 publications 2024: 47 publications 2025: 45 publications 2026: 1 publication
2000 2026

633 publications in total across all disciplines

View publications per year as a table
Sheng Li: publications per year, 2000 to 2026
Year Publications
2000 3
2001 5
2002 3
2003 7
2004 6
2005 10
2006 8
2007 10
2008 13
2009 16
2010 24
2011 17
2012 21
2013 17
2014 19
2015 15
2016 23
2017 22
2018 29
2019 43
2020 37
2021 58
2022 47
2023 87
2024 47
2025 45
2026 1
Total 633
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Sheng Li 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 Sheng Li 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, 362–371 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: 362 publications — 83rd percentile

83% 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
362–371 176 362
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
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Sheng Li 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 Sheng Li 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
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Overview

Sheng Li is affiliated with the University of Virginia in the United States and has an extensive publication record across multiple fields, primarily in computer science and engineering. Their research spans artificial intelligence, molecular biology, computer vision and pattern recognition, biomedical engineering, and computational mechanics.

The scientist's main topics of work include:

  • Domain Adaptation and Few-Shot Learning
  • Topic Modeling
  • Adversarial Robustness in Machine Learning
  • Genomics and Phylogenetic Studies
  • Machine Learning in Bioinformatics
  • Advanced Causal Inference Techniques
  • Advanced Graph Neural Networks

Among their recent publications are:

  • A Survey on Causal Inference (2021), published in ACM Transactions on Knowledge Discovery from Data
  • Climate change: Strategies for mitigation and adaptation (2023), published in The Innovation Geoscience
  • AugGPT: Leveraging ChatGPT for Text Data Augmentation (2023), published in arXiv (Cornell University)
  • A high-efficiency and sustainable leaching process of vanadium from shale in sulfuric acid systems enhanced by ultrasound (2020), published in Separation and Purification Technology
  • Deep evolutionary analysis reveals the design principles of fold A glycosyltransferases (2020), published in eLife

Sheng Li frequently collaborates with other researchers, with notable coauthors including:

  • Zhixuan Chu
  • Ronghang Zhu
  • Xin Yin
  • Yu Jiang
  • Lingkai Kong

In terms of publication venues, Sheng Li has contributed most notably to:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Mitochondrial DNA Part B
  • SSRN Electronic Journal
  • IEEE Transactions on Big Data

The scientist has also contributed to book publications, including a title published by Frontiers Media:

  • Leveraging Machine Learning for Omics-driven Biomarker Discovery (2023)

Best Publications

  • McPAT: an integrated power, area, and timing modeling framework for multicore and manycore architectures

    Sheng Li;Jung Ho Ahn;Richard D. Strong;Jay B. Brockman

  • Deep Collaborative Filtering via Marginalized Denoising Auto-encoder

    Sheng Li;Jaya Kawale;Yun Fu

  • Detecting and correcting systematic variation in large-scale RNA sequencing data

    Sheng Li;Paweł P Łabaj;Paul Zumbo;Peter Sykacek

  • A Survey on Causal Inference

    Liuyi Yao;Zhixuan Chu;Sheng Li;Yaliang Li

  • Scene Graph Generation With External Knowledge and Image Reconstruction

    Jiuxiang Gu;Handong Zhao;Zhe Lin;Sheng Li

  • A domain-specific supercomputer for training deep neural networks

    Norman P. Jouppi;Doe Hyun Yoon;George Kurian;Sheng Li

  • Advanced Wearable Microfluidic Sensors for Healthcare Monitoring

    Sheng Li;Zhong Ma;Zhonglin Cao;Lijia Pan

  • ChatAug: Leveraging ChatGPT for Text Data Augmentation

    Unknown

  • Representation Learning for Treatment Effect Estimation from Observational Data

    Liuyi Yao;Sheng Li;Yaliang Li;Mengdi Huai

  • Learning Robust and Discriminative Subspace With Low-Rank Constraints

    Sheng Li;Yun Fu

  • From Ensemble Clustering to Multi-View Clustering.

    Zhiqiang Tao;Hongfu Liu;Sheng Li;Zhengming Ding

  • Fast Spatio-Temporal Residual Network for Video Super-Resolution

    Sheng Li;Fengxiang He;Bo Du;Lefei Zhang

  • Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation

    Zhengming Ding;Sheng Li;Ming Shao;Yun Fu

  • Learning low-rank and discriminative dictionary for image classification ☆

    Liangyue Li;Sheng Li;Yun Fu

  • Face Recognition Based on Deep Learning

    Unknown

  • Cross-view projective dictionary learning for person re-identification

    Sheng Li;Ming Shao;Yun Fu

  • Temporal Subspace Clustering for Human Motion Segmentation

    Sheng Li;Kang Li;Yun Fu

  • Faster CNNs with Direct Sparse Convolutions and Guided Pruning

    Jongsoo Park;Sheng Li;Wei Wen;Ping Tak Peter Tang

  • Infinite Ensemble for Image Clustering

    Hongfu Liu;Ming Shao;Sheng Li;Yun Fu

  • Pivot Approach for Extracting Paraphrase Patterns from Bilingual Corpora

    Shiqi Zhao;Haifeng Wang;Ting Liu;Sheng Li

  • Deep evolutionary analysis reveals the design principles of fold A glycosyltransferases.

    Rahil Taujale;Aarya Venkat;Liang-Chin Huang;Zhongliang Zhou

  • Visual to Text: Survey of Image and Video Captioning

    Sheng Li;Zhiqiang Tao;Kang Li;Yun Fu

  • Marginalized Multiview Ensemble Clustering

    Zhiqiang Tao;Hongfu Liu;Sheng Li;Zhengming Ding

  • Co-embedding of Nodes and Edges with Graph Neural Networks.

    Xiaodong Jiang;Ronghang Zhu;Sheng Li;Pengsheng Ji

  • Person Re-Identification by Cross-View Multi-Level Dictionary Learning

    Sheng Li;Ming Shao;Yun Fu

  • Learning Balanced and Unbalanced Graphs via Low-Rank Coding

    Sheng Li;Yun Fu

  • CensNet: Convolution with Edge-Node Switching in Graph Neural Networks.

    Xiaodong Jiang;Pengsheng Ji;Sheng Li

Frequent Co-Authors

Yun Fu
Yun Fu Northeastern University
Xiao-Yuan Jing
Xiao-Yuan Jing Wuhan University
Zhao Zhang
Zhao Zhang Hefei University of Technology
Zhengming Ding
Zhengming Ding Tulane University
Guangcan Liu
Guangcan Liu Southeast University
Yaliang Li
Yaliang Li Alibaba Group (China)
Shuicheng Yan
Shuicheng Yan National University of Singapore
Jingyu Yang
Jingyu Yang Nanjing University of Science and Technology
David Zhang
David Zhang Chinese University of Hong Kong, Shenzhen
Jing Gao
Jing Gao Purdue University West Lafayette

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