World's Best Scientists 2026 revealed!
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Computer Science
USA
2026

D-Index & Metrics

Computer Science

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

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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