World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
59
Citations
12168
World Ranking
3468
National Ranking
1672

Kun-Lung Wu 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 Kun-Lung Wu 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: 235 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Kun-Lung Wu 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 Kun-Lung Wu 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: 59 D-Index — 77th percentile

77% 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

  • 2007 - IEEE Fellow For contributions to derived data management for reliable computing, web-based information systems, and transaction and query processing

Overview

Kun-Lung Wu is affiliated with IBM in the United States and has contributed to the field of computer science through multiple research publications. Their academic work primarily centers on topics including software engineering research, cloud computing and resource management, distributed systems and fault tolerance, as well as distributed and parallel computing systems.

They have published research in the venue arXiv (Cornell University) with two papers to date:

  • Granite Code Models: A Family of Open Foundation Models for Code Intelligence, 2024, arXiv (Cornell University)
  • A Cloud Native Platform for Stateful Streaming, 2020, arXiv (Cornell University)

Frequent coauthors collaborating with Kun-Lung Wu include:

  • Mayank Mishra
  • Matt Stallone
  • Gaoyuan Zhang
  • Yikang Shen
  • Aditya Prasad

The main fields of study associated with their publications fall under computer science. Within this broad discipline, their work contributes specifically to subfields such as information systems and computer networks and communications.

Their research covers several main topics reflective of their areas of expertise:

  • Software engineering research
  • Cloud computing and resource management
  • Distributed systems and fault tolerance
  • Distributed and parallel computing systems

In 2007, Kun-Lung Wu was awarded IEEE Fellow status for their contributions to derived data management for reliable computing, web-based information systems, and transaction and query processing. This recognition indicates a significant involvement in systems that support data reliability and distributed information processing.

Best Publications

  • System and method of multiparty billing for web access

    James P. Crosskey;Mark Gee-Gwo Mei;Harish Ragavan;Kun-Lung Wu

  • Horting hatches an egg: a new graph-theoretic approach to collaborative filtering

    Charu C. Aggarwal;Joel L. Wolf;Kun-Lung Wu;Philip S. Yu

  • SPADE: the system s declarative stream processing engine

    Bugra Gedik;Henrique Andrade;Kun-Lung Wu;Philip S. Yu

  • Segment-based proxy caching of multimedia streams

    Kun-Lung Wu;Philip S. Yu;Joel L. Wolf

  • Load balancing cooperating cache servers by shifting forwarded request

    Kevin Michael Jordan;Kun-Lung Wu;Philip Shi-lung Yu

  • Elastic Scaling for Data Stream Processing

    Bugra Gedik;Scott Schneider;Martin Hirzel;Kun-Lung Wu

  • On real-time databases: concurrency control and scheduling

    P.S. Yu;Kun-Lung Wu;Kwei-Jay Lin;S.H. Son

  • SpeedTracer: a Web usage mining and analysis tool

    K.-L. Wu;P. S. Yu;A. Ballman

  • Streaming algorithms for k-core decomposition

    Ahmet Erdem Saríyüce;Buğra Gedik;Gabriela Jacques-Silva;Kun-Lung Wu

  • Efficient B-tree based indexing for cloud data processing

    Sai Wu;Dawei Jiang;Beng Chin Ooi;Kun-Lung Wu

  • Counting and sampling triangles from a graph stream

    A. Pavan;Kanat Tangwongsan;Srikanta Tirthapura;Kun-Lung Wu

  • FLEX: a slot allocation scheduling optimizer for MapReduce workloads

    Joel Wolf;Deepak Rajan;Kirsten Hildrum;Rohit Khandekar

  • SODA: an optimizing scheduler for large-scale stream-based distributed computer systems

    Joel Wolf;Nikhil Bansal;Kirsten Hildrum;Sujay Parekh

  • Elastic scaling of data parallel operators in stream processing

    Scott Schneider;Henrique Andrade;Bugra Gedik;Alain Biem

  • The CHAMPS system: change management with planning and scheduling

    A. Keller;J.L. Hellerstein;J.L. Wolf;K.-L. Wu

  • Recoverable distributed shared virtual memory

    K.-L. Wu;W.K. Fuchs

  • System and method for personalizing dialogue menu for an interactive voice response system

    Gee-Gwo Mei;Kun-Lung Wu;Philip Shi-lung Yu

  • Method and apparatus of a collaborative proxy system for distributed deployment of object rendering

    Yun-Wu Huang;Philip S.L. Yu;Kun-Lung Wu

  • IBM streams processing language: analyzing big data in motion

    M. Hirzel;H. Andrade;B. Gedik;G. Jacques-Silva

  • Optimizing index allocation for sequential data broadcasting in wireless mobile computing

    Ming-Syan Chen;Kun-Lung Wu;P.S. Yu

Frequent Co-Authors

Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Bugra Gedik
Bugra Gedik Royal Caribbean Cruises (United States)
Joel L. Wolf
Joel L. Wolf IBM (United States)
Ming-Syan Chen
Ming-Syan Chen National Taiwan University
Ling Liu
Ling Liu Georgia Institute of Technology
Charu C. Aggarwal
Charu C. Aggarwal IBM (United States)
Joseph L. Hellerstein
Joseph L. Hellerstein University of Washington
Calton Pu
Calton Pu Georgia Institute of Technology
Ümit V. Çatalyürek
Ümit V. Çatalyürek Georgia Institute of Technology
Nikhil Bansal
Nikhil Bansal University of Michigan–Ann Arbor

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