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Computer Science
USA
2026

D-Index & Metrics

Best Scientists

D-Index
202
Citations
240882
World Ranking
267
National Ranking
176

Computer Science

D-Index
197
Citations
232291
World Ranking
6
National Ranking
3

Research.com Recognitions

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Best Scientists 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
  • 2009 - W. Wallace McDowell Award, IEEE Computer Society For significant contributions to knowledge discovery and data mining.
  • 2009 - IEEE Fellow For contributions to data mining and knowledge discovery
  • 2004 - Edward J. McCluskey Technical Achievement Award, IEEE Computer Society For contributions in data mining and knowledge discovery, data warehousing, deductive and object-oriented databases
  • 2003 - ACM Fellow For contributions in knowledge discovery and data mining.

Overview

Jiawei Han is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research spans various topics within medicine, with a particular focus on surgery, artificial intelligence, cardiology and cardiovascular medicine, mechanical engineering, and radiology, nuclear medicine, and imaging.

The scientist has contributed to the following main fields of study:

  • Medicine

More specifically, their work concentrates on subfields including:

  • Surgery
  • Artificial Intelligence
  • Cardiology and Cardiovascular Medicine
  • Mechanical Engineering
  • Radiology, Nuclear Medicine and Imaging

Jiawei Han has addressed topics such as:

  • Hip disorders and treatments
  • Total Knee Arthroplasty Outcomes
  • Orthopaedic implants and arthroplasty
  • ECG Monitoring and Analysis
  • EEG and Brain-Computer Interfaces
  • Orthopedic Infections and Treatments
  • Biomedical Text Mining and Ontologies

Recent papers authored or co-authored by Jiawei Han include:

  • "Lung segmentation and automatic detection of COVID-19 using radiomic features from chest CT images," 2021, published in Pattern Recognition
  • "A novel method for ECG signal classification via one-dimensional convolutional neural network," 2020, Multimedia Systems
  • "An approach for fully automatic femoral neck-shaft angle evaluation on radiographs," 2020, Review of Scientific Instruments
  • "A Novel Method for ECG Signal Classification via One-Dimensional Convolutional Neural Network," 2020, arXiv (Cornell University)
  • "Comparing two different automatic methods to measure femoral neck-shaft angle based on PointNet++ network," 2022, Scientific Reports

Jiawei Han's frequent publication venues include:

  • Proceedings of WCSE 2022 Spring Event: 2022 9th International Conference on Industrial Engineering and Applications
  • Pattern Recognition
  • Multimedia Systems
  • Review of Scientific Instruments
  • Scientific Reports

The scientist has collaborated regularly with several co-authors, most notably:

  • Xiaoying Pan
  • Zhao Chen
  • Zhuo He
  • Jinshan Tang
  • Weihua Zhou

Jiawei Han has received recognition from multiple professional organizations. Awards granted include:

  • IEEE Fellow, 2009, for contributions to data mining and knowledge discovery
  • W. Wallace McDowell Award, IEEE Computer Society, 2009, for significant contributions to knowledge discovery and data mining
  • Edward J. McCluskey Technical Achievement Award, IEEE Computer Society, 2004, for contributions in data mining and knowledge discovery, data warehousing, deductive and object-oriented databases
  • ACM Fellow, 2003, for contributions in knowledge discovery and data mining

Best Publications

  • Data Mining: Concepts and Techniques

    Jiawei Han;Micheline Kamber;Jian Pei

  • Mining frequent patterns without candidate generation

    Jiawei Han;Jian Pei;Yiwen Yin

  • Data mining: an overview from a database perspective

    Ming-Syan Chen;Jiawei Han;P.S. Yu

  • Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach

    Jiawei Han;Jian Pei;Yiwen Yin;Runying Mao

  • PrefixSpan,: mining sequential patterns efficiently by prefix-projected pattern growth

    Jian Pei;Jiawei Han;B. Mortazavi-Asl;H. Pinto

  • gSpan: graph-based substructure pattern mining

    Xifeng Yan;Jiawei Han

  • Efficient and Effective Clustering Methods for Spatial Data Mining

    Raymond T. Ng;Jiawei Han

  • A framework for clustering evolving data streams

    Charu C. Aggarwal;Jiawei Han;Jianyong Wang;Philip S. Yu

  • Graph Regularized Nonnegative Matrix Factorization for Data Representation

    Deng Cai;Xiaofei He;Jiawei Han;T S Huang

  • PathSim: meta path-based top-K similarity search in heterogeneous information networks

    Yizhou Sun;Jiawei Han;Xifeng Yan;Philip S. Yu

  • Discovery of Spatial Association Rules in Geographic Information Databases.

    Koperski K;Han J

  • Trajectory clustering: a partition-and-group framework

    Jae-Gil Lee;Jiawei Han;Kyu-Young Whang

  • Data Mining: Concepts and Techniques (2nd edition)

    Jiawei Han;Micheline Kamber

  • Mining concept-drifting data streams using ensemble classifiers

    Haixun Wang;Wei Fan;Philip S. Yu;Jiawei Han

  • Mining sequential patterns by pattern-growth: the PrefixSpan approach

    Jian Pei;Jiawei Han;B. Mortazavi-Asl;Jianyong Wang

  • Frequent pattern mining: current status and future directions

    Jiawei Han;Hong Cheng;Dong Xin;Xifeng Yan

  • CMAR: accurate and efficient classification based on multiple class-association rules

    Wenmin Li;Jiawei Han;Jian Pei

  • Discovery of Multiple-Level Association Rules from Large Databases

    Jiawei Han;Yongjian Fu

  • CLARANS: a method for clustering objects for spatial data mining

    R.T. Ng;Jiawei Han

  • Maintenance of discovered association rules in large databases: an incremental updating technique

    D.W. Cheung;Jiawei Han;V.T. Ng;C.Y. Wong

Frequent Co-Authors

Xifeng Yan
Xifeng Yan University of California, Santa Barbara
Xiang Ren
Xiang Ren University of Southern California
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Yizhou Sun
Yizhou Sun University of California, Los Angeles
Jing Gao
Jing Gao Purdue University West Lafayette
Jian Pei
Jian Pei Duke University
Deng Cai
Deng Cai Zhejiang University
Heng Ji
Heng Ji University of Illinois at Urbana-Champaign
Xiaofei He
Xiaofei He Zhejiang University
Charu C. Aggarwal
Charu C. Aggarwal IBM (United States)

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