World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
16187
World Ranking
5488
National Ranking
2505

Meichun Hsu 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 Meichun Hsu 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: 219 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Meichun Hsu 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 Meichun Hsu 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: 50 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Overview

Meichun Hsu is affiliated with Hewlett Packard Enterprise in the United States. Their research spans multiple areas within Computer Science, particularly focusing on Information Systems, Computer Networks and Communications, and Signal Processing.

Their work prominently addresses topics related to Spam and Phishing Detection, Network Security and Intrusion Detection, and Advanced Malware Detection Techniques.

Meichun Hsu has published research in leading academic venues including:

  • Distributed and Parallel Databases
  • Proceedings of the International AAAI Conference on Web and Social Media

The scientist's recent papers include:

  • "Exploiting Burstiness in Reviews for Review Spammer Detection," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "Introduction to the special issue on Self-managing and Hardware-Optimized Database Systems 2019," 2020, Distributed and Parallel Databases
  • "Introduction to the special issue on self-managing and hardware-optimized database systems 2020," 2021, Distributed and Parallel Databases

Meichun Hsu collaborates frequently with several researchers, highlighting coauthorship with:

  • Shimin Chen
  • Panos K. Chrysanthis
  • Khuzaima Daudjee
  • Geli Fei
  • Arjun Mukherjee

The scientist's work often intersects themes of system self-management and hardware optimization within database systems, as seen in their contributions to special issues in Distributed and Parallel Databases.

This profile reflects Meichun Hsu's ongoing contributions to the field of Computer Science, emphasizing the intersection of security challenges and system efficiency in modern computing environments.

Best Publications

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

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

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

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

  • FreeSpan: frequent pattern-projected sequential pattern mining

    Jiawei Han;Jian Pei;Behzad Mortazavi-Asl;Qiming Chen

  • PrefixSpan: Mining Sequential Patterns by Prefix-Projected Growth

    Jian Pei;Jiawei Han;Behzad Mortazavi-Asl;Helen Pinto

  • The HiPAC project: combining active databases and timing constraints

    U. Dayal;B. Blaustein;A. Buchmann;U. Chakravarthy

  • Combining lexicon-based and learning-based methods for twitter sentiment analysis

    Lei Zhang;Riddhiman Ghosh;Mohamed Dekhil;Meichun Hsu

  • Spotting opinion spammers using behavioral footprints

    Arjun Mukherjee;Abhinav Kumar;Bing Liu;Junhui Wang

  • Exploiting Burstiness in Reviews for Review Spammer Detection

    Geli Fei;Arjun Mukherjee;Bing Liu;Meichun Hsu

  • Organizing long-running activities with triggers and transactions

    Umeshwar Dayal;Meichun Hsu;Rivka Ladin

  • Business Process Coordination: State of the Art, Trends, and Open Issues

    Umeshwar Dayal;Meichun Hsu;Rivka Ladin

  • A Transactional Model for Long-Running Activities

    Umeshwar Dayal;Meichun Hsu;Rivka Ladin

  • Technique for visualizing large web-based hierarchical hyperbolic space with multi-paths

    Ming C. Hao;Meichun Hsu;Umeshwar Dayal;Adrian Krug

  • OLAP-based web access analysis method and system

    Qiming Chen;Umeshwar Dayal;Meichun Hsu

  • Technologies for E-Services

    Alejandro Buchmann;Ludger Fiege;Fabio Casati;Mei-Chun Hsu

  • Implementing recoverable requests using queues

    Philip A. Bernstein;Meichun Hsu;Bruce Mann

  • Time-critical database scheduling: a framework for integrating real-time scheduling and concurrency control

    A.P. Buchmann;D.R. McCarthy;M. Hsu;U. Dayal

  • Inter-enterprise collaborative business process management

    Qiming Chen;Meichun Hsu

  • Pixel bar charts: a visualization technique for very large multi-attribute data sets

    Daniel A. Keim;Ming C Hao;Umesh Dayal;Meichun Hsu

  • Apparatus and method for discovering context groups and document categories by mining usage logs

    Parvathi Chundi;Umeshwar Dayal;Meichun Hsu

  • Discovering coherent topics using general knowledge

    Zhiyuan Chen;Arjun Mukherjee;Bing Liu;Meichun Hsu

Frequent Co-Authors

Umeshwar Dayal
Umeshwar Dayal Hitachi (Japan)
Daniel A. Keim
Daniel A. Keim University of Konstanz
Bing Liu
Bing Liu University of Illinois at Chicago
ChengXiang Zhai
ChengXiang Zhai University of Illinois at Urbana-Champaign
Ming-Chien Shan
Ming-Chien Shan Hewlett-Packard (United States)
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Jian Pei
Jian Pei Duke University
Alejandro Buchmann
Alejandro Buchmann Technical University of Darmstadt
Fabio Casati
Fabio Casati University of Trento
Markus Gross
Markus Gross ETH Zurich

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