World's Best Scientists 2026 revealed!
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Li-Jia Li

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 40 9004 8750 3820 3667 54 87046

Li-Jia Li publications per year

The chart shows the history of publications by Li-Jia Li between 2007 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Li-Jia Li published across 19 years, from 2007 to 2025, averaging 4.8 papers a year. Output peaked at 17 publications in 2025. 25 of the 92 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 2007 to 2025. Vertical axis: number of publications, 0 to 17. Peak 17 publications in 2025. 2007: 3 publications 2008: 0 publications 2009: 2 publications 2010: 5 publications 2011: 0 publications 2012: 2 publications 2013: 1 publication 2014: 7 publications 2015: 5 publications 2016: 4 publications 2017: 8 publications 2018: 10 publications 2019: 6 publications 2020: 0 publications 2021: 0 publications 2022: 8 publications 2023: 6 publications 2024: 8 publications 2025: 17 publications
2007 2025

92 publications in total across all disciplines

View publications per year as a table
Li-Jia Li: publications per year, 2007 to 2025
Year Publications
2007 3
2008 0
2009 2
2010 5
2011 0
2012 2
2013 1
2014 7
2015 5
2016 4
2017 8
2018 10
2019 6
2020 0
2021 0
2022 8
2023 6
2024 8
2025 17
Total 92
Download as CSV

Li-Jia 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 Li-Jia 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, 52–61 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: 54 publications — 1st percentile

1% 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 54
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
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-Jia 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 Li-Jia 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, 40–41 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: 40 D-Index — 37th percentile

37% 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 40
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
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

Li-Jia Li is affiliated with Stanford University in the United States and has contributed extensively to the intersection of computer science and medicine. Their research spans a range of topics primarily focused on artificial intelligence and its applications in healthcare and education.

The scientist has a significant number of publications in reputable venues. Among the frequent publication outlets are:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • npj Digital Medicine
  • Ultrasonics Sonochemistry
  • Advances in Nutrition

Li-Jia Li's main fields of study include:

  • Computer Science
  • Medicine

The research covers several subfields, with a focus on:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Molecular Biology
  • Biomedical Engineering
  • Health Informatics

Key topics addressed in their publications include:

  • Topic Modeling
  • Artificial Intelligence in Healthcare and Education
  • Machine Learning in Healthcare
  • Acute Ischemic Stroke Management
  • Cognitive and developmental aspects of mathematical skills
  • Medical Imaging and Analysis
  • Advanced X-ray and CT Imaging

Some recent papers authored or co-authored by Li-Jia Li are:

  • Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI, 2024, npj Digital Medicine
  • Comparison of soy protein isolate-(-)-epigallocatechin gallate complexes prepared by mixing, chemical polymerization, and ultrasound treatment, 2022, Ultrasonics Sonochemistry
  • CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers, 2020, arXiv (Cornell University)
  • A Scoping Review of Artificial Intelligence for Precision Nutrition, 2025, Advances in Nutrition
  • Exploring students' procedural flexibility in three countries, 2022, International Journal of STEM Education

Li-Jia Li frequently collaborates with a group of co-authors, including:

  • Sophie Ostmeier
  • Brian Axelrod
  • Jeremy J. Heit
  • David Oniani
  • Yanshan Wang

Best Publications

  • ImageNet: A large-scale hierarchical image database

    Jia Deng;Wei Dong;Richard Socher;Li-Jia Li

  • Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations

    Ranjay Krishna;Yuke Zhu;Oliver Groth;Justin Johnson

  • Progressive Neural Architecture Search

    Chenxi Liu;Barret Zoph;Maxim Neumann;Jonathon Shlens

  • YFCC100M: the new data in multimedia research

    Bart Thomee;David A. Shamma;Gerald Friedland;Benjamin Elizalde

  • AMC: AutoML for Model Compression and Acceleration on Mobile Devices

    Yihui He;Ji Lin;Zhijian Liu;Hanrui Wang

  • Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification

    Li-jia Li;Hao Su;Li Fei-fei;Eric P. Xing

  • Image retrieval using scene graphs

    Justin Johnson;Ranjay Krishna;Michael Stark;Li-Jia Li

  • What, where and who? Classifying events by scene and object recognition

    Li-Jia Li;Li Fei-Fei

  • MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels

    Lu Jiang;Zhengyuan Zhou;Thomas Leung;Li-Jia Li

  • Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations

    Ranjay Krishna;Yuke Zhu;Oliver Groth;Justin Johnson

  • Multi-view Face Detection Using Deep Convolutional Neural Networks

    Sachin Sudhakar Farfade;Mohammad J. Saberian;Li-Jia Li

  • Towards total scene understanding: Classification, annotation and segmentation in an automatic framework

    Li-Jia Li;Richard Socher;Li Fei-Fei

  • Learning from Noisy Labels with Distillation

    Yuncheng Li;Jianchao Yang;Yale Song;Liangliang Cao

  • Thoracic Disease Identification and Localization with Limited Supervision

    Zhe Li;Chong Wang;Mei Han;Yuan Xue

  • The New Data and New Challenges in Multimedia Research.

    Bart Thomee;David A. Shamma;Gerald Friedland;Benjamin Elizalde

  • Composing Text and Image for Image Retrieval - an Empirical Odyssey

    Nam Vo;Lu Jiang;Chen Sun;Kevin Murphy

  • Deep Reinforcement Learning-Based Image Captioning with Embedding Reward

    Zhou Ren;Xiaoyu Wang;Ning Zhang;Xutao Lv

  • OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning

    Li-Jia Li;Gang Wang;Li Fei-Fei

  • Attention-based Graph Neural Network for Semi-supervised Learning

    Kiran Koshy Thekumparampil;Chong Wang;Sewoong Oh;Li-Jia Li

  • Best of both worlds: Human-machine collaboration for object annotation

    Olga Russakovsky;Li-Jia Li;Li Fei-Fei

  • Eidetic 3D LSTM: A Model for Video Prediction and Beyond

    Yunbo Wang;Yunbo Wang;Lu Jiang;Ming Hsuan Yang;Li Jia Li

Frequent Co-Authors

Li Fei-Fei
Li Fei-Fei Stanford University
Jia Deng
Jia Deng Princeton University
Liangliang Cao
Liangliang Cao Google (United States)
Xiangnan Kong
Xiangnan Kong Worcester Polytechnic Institute
Jianchao Yang
Jianchao Yang ByteDance
Hao Su
Hao Su University of California, San Diego
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Michael S. Bernstein
Michael S. Bernstein Stanford University
Eric P. Xing
Eric P. Xing Mohamed bin Zayed University of Artificial Intelligence
Gerald Friedland
Gerald Friedland Yale University

External Links

Personal website of Li-Jia Li Google Scholar page

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Best Scientists Citing Li-Jia Li

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Li Fei-Fei

Stanford University

Publications: 117

Trevor Darrell

Trevor Darrell

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Luc Van Gool

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Publications: 108

Alan L. Yuille

Alan L. Yuille

Johns Hopkins University

Publications: 106

Dacheng Tao

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Nanyang Technological University

Publications: 106

Ling Shao

Ling Shao

Terminus International

Publications: 98

Jiashi Feng

Jiashi Feng

ByteDance

Publications: 97

Shuicheng Yan

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Publications: 96

Xiaogang Wang

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Publications: 92

Larry S. Davis

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Ming-Hsuan Yang

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Publications: 85

Ali Farhadi

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