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Computer Science
USA
2026

D-Index & Metrics

Computer Science

D-Index
139
Citations
94477
World Ranking
69
National Ranking
41

Huan 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 Huan 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: 774 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Huan 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 Huan 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: 139 D-Index — 100th percentile

100% 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

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2019 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to feature selection and social computing.
  • 2018 - ACM Fellow For contributions in feature selection for data mining and knowledge discovery and in social computing
  • 2018 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2012 - IEEE Fellow For contributions to feature selection in data mining and knowledge discovery
  • 2010 - ACM Distinguished Member

Overview

Huan Liu is affiliated with Arizona State University in the United States. Their research is primarily situated in the fields of Engineering and Materials Science, with significant contributions to subfields including Electrical and Electronic Engineering, Materials Chemistry, Renewable Energy, Sustainability and the Environment, Mechanical Engineering, and Electronic, Optical and Magnetic Materials.

The scientist's work extensively covers topics related to advanced battery materials and technologies. Key areas of focus include Advanced Battery Materials and Technologies, Advancements in Battery Materials, Advanced Battery Technologies Research, Electrocatalysts for Energy Conversion, Supercapacitor Materials and Fabrication, and Advanced Photocatalysis Techniques.

Frequent publication venues for Huan Liu include:

  • Advanced Functional Materials
  • Chemical Engineering Journal
  • ACS Nano
  • Advanced Materials
  • Advanced Energy Materials

Huan Liu has co-authored numerous papers with several frequent collaborators. Notable co-authors include Shi Xue Dou, Shulei Chou, Xiaodong Wang, Yunxiao Wang, and Wei-Hong Lai.

Recent publications by Huan Liu or closely associated works include:

  • "Prussian Blue Analogues for Sodium-Ion Batteries: Past, Present, and Future," 2021, Advanced Materials
  • "Transition metal based battery-type electrodes in hybrid supercapacitors: A review," 2020, Energy Storage Materials
  • "Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "Hard Carbon Anodes: Fundamental Understanding and Commercial Perspectives for Na-Ion Batteries beyond Li-Ion and K-Ion Counterparts," 2020, Advanced Energy Materials
  • "Reversible structural evolution of sodium-rich rhombohedral Prussian blue for sodium-ion batteries," 2020, Nature Communications

The scientist has received several distinctions throughout their career, such as the Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) awarded in 2019 for contributions to feature selection and social computing. In 2018, they were named Fellow of the American Association for the Advancement of Science (AAAS). Additional recognitions include ACM Fellow status in 2018 for contributions in feature selection for data mining and social computing, IEEE Fellow in 2012 for contributions to feature selection in data mining and knowledge discovery, and ACM Distinguished Member in 2010.

Best Publications

  • Feature Selection for Classification

    M. Dash;H. Liu

  • Toward integrating feature selection algorithms for classification and clustering

    Huan Liu;Lei Yu

  • Fake News Detection on Social Media: A Data Mining Perspective

    Kai Shu;Amy Sliva;Suhang Wang;Jiliang Tang

  • Feature Selection: A Data Perspective

    Jundong Li;Kewei Cheng;Suhang Wang;Fred Morstatter

  • Feature selection for high-dimensional data: a fast correlation-based filter solution

    Lei Yu;Huan Liu

  • Feature Selection for Knowledge Discovery and Data Mining

    Huan Liu;Hiroshi Motoda

  • Efficient Feature Selection via Analysis of Relevance and Redundancy

    Lei Yu;Huan Liu

  • Subspace clustering for high dimensional data: a review

    Lance Parsons;Ehtesham Haque;Huan Liu

  • Computational Methods of Feature Selection

    Huan Liu;Hiroshi Motoda

  • Feature selection for classification: A review

    Jiliang Tang;Salem Alelyani;Huan Liu

  • Discretization: An Enabling Technique

    Huan Liu;Farhad Hussain;Chew Lim Tan;Manoranjan Dash

  • Chi2: feature selection and discretization of numeric attributes

    Huan Liu;R. Setiono

  • Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose

    Fred Morstatter;Jürgen Pfeffer;Huan Liu;Kathleen M. Carley

  • Consistency-based search in feature selection

    Manoranjan Dash;Huan Liu

  • Resource description framework: metadata and its applications

    K. Selçuk Candan;Huan Liu;Reshma Suvarna

  • Spectral feature selection for supervised and unsupervised learning

    Zheng Zhao;Huan Liu

  • A probabilistic approach to feature selection - a filter solution

    Huan Liu;Rudy Setiono

  • FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media

    Kai Shu;Deepak Mahudeswaran;Suhang Wang;Dongwon Lee

  • Feature Extraction, Construction and Selection: A Data Mining Perspective

    Huan Liu;Hiroshi Motoda

  • Social Media Mining: An Introduction

    Reza Zafarani;Mohammad Ali Abbasi;Huan Liu

  • Computational Methods of Feature Selection (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series)

    Huan Liu;Hiroshi Motoda

Frequent Co-Authors

Jiliang Tang
Jiliang Tang Michigan State University
Suhang Wang
Suhang Wang Pennsylvania State University
Xia Hu
Xia Hu Rice University
Jundong Li
Jundong Li University of Virginia
Lei Tang
Lei Tang Association for Computing Machinery
Hiroshi Motoda
Hiroshi Motoda Osaka University
Rudy Setiono
Rudy Setiono National University of Singapore
Charu C. Aggarwal
Charu C. Aggarwal IBM (United States)
Yi Chang
Yi Chang Jilin University
Kathleen M. Carley
Kathleen M. Carley Carnegie Mellon University

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