World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
11736
World Ranking
4103
National Ranking
545

Shixia 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 Shixia Liu sits on this spectrum.

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 publications 991+

This scientist: 193 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Shixia 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 Shixia Liu sits on this spectrum.

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 D-Index 131+

This scientist: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2021 - IEEE Fellow For contributions to visual text analysis and visual model analysis

Overview

Shixia Liu is affiliated with Tsinghua University in China, where they focus on interdisciplinary research primarily in the field of Materials Science. Their contributions span various subfields including Materials Chemistry, Atomic and Molecular Physics and Optics, Artificial Intelligence, Computer Vision and Pattern Recognition, and Electrical and Electronic Engineering.

The main topics of Shixia Liu's research cover a diverse range of scientific areas: crystallization and solubility studies, X-ray diffraction in crystallography, surface chemistry and catalysis, data visualization and analytics, molecular junctions and nanostructures, graphene research and applications, as well as quantum and electron transport phenomena.

Shixia Liu has published extensively in several venues, demonstrating a strong presence in their research community. Frequent publication outlets include:

  • arXiv (Cornell University)
  • The Cambridge Structural Database
  • IEEE Transactions on Visualization and Computer Graphics
  • Angewandte Chemie International Edition
  • Angewandte Chemie

The scientist has collaborated with a number of frequent coauthors, with whom they have produced several publications:

  • Silvio Decurtins
  • Robert Häner
  • Ulrich Aschauer
  • Rémy Pawlak
  • Ernst Meyer

Among the recent papers credited to Shixia Liu are works published in 2020 that address diverse areas such as machine learning visual analytics, materials synthesis, and deep learning geometry. Key examples include:

  • A survey of visual analytics techniques for machine learning, 2020, Computational Visual Media
  • Bottom-up Synthesis of Nitrogen-Doped Porous Graphene Nanoribbons, 2020, Journal of the American Chemical Society
  • A Geometric Understanding of Deep Learning, 2020, Engineering
  • OoDAnalyzer: Interactive Analysis of Out-of-Distribution Samples, 2020, IEEE Transactions on Visualization and Computer Graphics
  • Preserving Minority Structures in Graph Sampling, 2020, IEEE Transactions on Visualization and Computer Graphics

Shixia Liu has received the IEEE Fellow award in 2021 for contributions related to visual text analysis and visual model analysis, reflecting recognition within the professional community for specific research achievements.

Best Publications

  • Towards Better Analysis of Deep Convolutional Neural Networks

    Mengchen Liu;Jiaxin Shi;Zhen Li;Chongxuan Li

  • TextFlow: Towards Better Understanding of Evolving Topics in Text

    Weiwei Cui;Shixia Liu;Li Tan;Conglei Shi

  • A survey on information visualization: recent advances and challenges

    Shixia Liu;Weiwei Cui;Yingcai Wu;Mengchen Liu

  • Towards better analysis of machine learning models: A visual analytics perspective

    Shixia Liu;Xiting Wang;Mengchen Liu;Jun Zhu

  • Context preserving dynamic word cloud visualization

    Weiwei Cui;Yingcai Wu;Shixia Liu;Furu Wei

  • Context-Preserving, Dynamic Word Cloud Visualization

    Weiwei Cui;Yingcai Wu;Shixia Liu;Furu Wei

  • TIARA: a visual exploratory text analytic system

    Furu Wei;Shixia Liu;Yangqiu Song;Shimei Pan

  • Visual Analytics for Explainable Deep Learning

    Jaegul Choo;Shixia Liu

  • Visual method and apparatus for enhancing search result navigation

    Shixia Liu;Zhong Su

  • StoryFlow: Tracking the Evolution of Stories

    Shixia Liu;Yingcai Wu;Enxun Wei;Mengchen Liu

  • A Survey of Visual Analytics Techniques and Applications: State-of-the-Art Research and Future Challenges

    Guo-Dao Sun;Ying-Cai Wu;Rong-Hua Liang;Shi-Xia Liu

  • OpinionSeer: Interactive Visualization of Hotel Customer Feedback

    Yingcai Wu;Furu Wei;Shixia Liu;Norman Au

  • Whisper: Tracing the Spatiotemporal Process of Information Diffusion in Real Time

    Nan Cao;Yu-Ru Lin;Xiaohua Sun;D. Lazer

  • Breaking news on twitter

    Mengdie Hu;Shixia Liu;Furu Wei;Yingcai Wu

  • A survey of visual analytics techniques for machine learning

    Jun Yuan;Changjian Chen;Weikai Yang;Mengchen Liu

  • OpinionFlow: Visual Analysis of Opinion Diffusion on Social Media

    Yingcai Wu;Shixia Liu;Kai Yan;Mengchen Liu

  • TIARA: Interactive, Topic-Based Visual Text Summarization and Analysis

    Shixia Liu;Michelle X. Zhou;Shimei Pan;Yangqiu Song

  • FacetAtlas: Multifaceted Visualization for Rich Text Corpora

    Nan Cao;Jimeng Sun;Yu-Ru Lin;D Gotz

  • Automatic taxonomy construction from keywords

    Xueqing Liu;Yangqiu Song;Shixia Liu;Haixun Wang

  • Analyzing the Training Processes of Deep Generative Models

    Mengchen Liu;Jiaxin Shi;Kelei Cao;Jun Zhu

  • Visual Analysis of Topic Competition on Social Media

    Panpan Xu;Yingcai Wu;Enxun Wei;Tai-Quan Peng

Frequent Co-Authors

Nan Cao
Nan Cao Tongji University
Yangqiu Song
Yangqiu Song Hong Kong University of Science and Technology
Michelle X. Zhou
Michelle X. Zhou IBM (United States)
Weihong Qian
Weihong Qian Peking University
Yingcai Wu
Yingcai Wu Zhejiang University
Huamin Qu
Huamin Qu Hong Kong University of Science and Technology
Furu Wei
Furu Wei Microsoft (United States)
Baining Guo
Baining Guo Microsoft (United States)
Martin Wattenberg
Martin Wattenberg Harvard University
Hui Su
Hui Su IBM (United States)

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