World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
7854
World Ranking
7236
National Ranking
3159

Jun Xu 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 Jun Xu 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: 159 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Jun Xu 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 Jun Xu 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: 45 D-Index — 51st percentile

51% 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

  • 2010 - ACM Distinguished Member
  • 2009 - ACM Senior Member

Overview

Jun Xu is a researcher affiliated with the Georgia Institute of Technology in the United States. Their work spans primarily the field of Computer Science, with a significant focus on Computer Networks and Communications. Other subfields include Artificial Intelligence, Electrical and Electronic Engineering, Hardware and Architecture, and Information Systems.

The main topics of Jun Xu's research encompass:

  • Software-Defined Networks and 5G
  • Network Traffic and Congestion Control
  • Algorithms and Data Compression
  • Caching and Content Delivery
  • Interconnection Networks and Systems
  • Advanced Image and Video Retrieval Techniques
  • Network Security and Intrusion Detection

Jun Xu has contributed multiple papers to leading conferences and journals. Significant recent publications include:

  • iDEC, 2020, Proceedings of the VLDB Endowment
  • Efficient and Robust Syslog Parsing for Network Devices in Datacenter Networks, 2020, IEEE Access
  • Space- and computationally-efficient set reconciliation via parity bitmap sketch (PBS), 2020, Proceedings of the VLDB Endowment
  • Spotlight: Scalable Transport Layer Load Balancing for Data Center Networks, 2020, IEEE Transactions on Cloud Computing
  • ONe Index for All Kernels (ONIAK), 2022, Proceedings of the VLDB Endowment

Frequent co-authors collaborating with Jun Xu include George Varghese, Long Gong, Mitsunori Ogihara, Huayi Wang, and Jingfan Meng. These collaborators have worked together on multiple publications, indicating ongoing research partnerships.

The venues where Jun Xu frequently publishes research are:

  • Proceedings of the VLDB Endowment
  • arXiv (Cornell University)
  • Performance Evaluation
  • IEEE Access
  • Desalination and Water Treatment

Jun Xu's professional recognition includes distinctions awarded by the Association for Computing Machinery (ACM), being named an ACM Distinguished Member in 2010 and an ACM Senior Member in 2009.

Best Publications

  • Ultra-broadband Light Absorption by a Sawtooth Anisotropic Metamaterial Slab

    Yanxia Cui;Kin Hung Fung;Jun Xu;Hyungjin Ma

  • Space-Code Bloom Filter for Efficient Per-Flow Traffic Measurement

    A. Kumar;Jun Xu;Jia Wang

  • Data streaming algorithms for efficient and accurate estimation of flow size distribution

    Abhishek Kumar;Minho Sung;Jun (Jim) Xu;Jia Wang

  • Prefix-preserving IP address anonymization: measurement-based security evaluation and a new cryptography-based scheme

    Jun Xu;Jinliang Fan;M.H. Ammar;S.B. Moon

  • IP traceback-based intelligent packet filtering: a novel technique for defending against Internet DDoS attacks

    Minho Sung;Jun Xu

  • On the fundamental tradeoffs between routing table size and network diameter in peer-to-peer networks

    J. Xu

  • Data streaming algorithms for estimating entropy of network traffic

    Ashwin Lall;Vyas Sekar;Mitsunori Ogihara;Jun Xu

  • Large-scale IP traceback in high-speed Internet: practical techniques and theoretical foundation

    Jun Li;Minho Sung;Jun Xu;Li Li

  • Space-code bloom filter for efficient per-flow traffic measurement

    K. Kumar;J. Xu;Jia Wang;O. Spatschek

  • Sustaining availability of Web services under distributed denial of service attacks

    Jun Xu;Wooyong Lee

  • Efficient and scalable query routing for unstructured peer-to-peer networks

    A. Kumar;J. Xu;E.W. Zegura

  • On the fundamental tradeoffs between routing table size and network diameter in peer-to-peer networks

    Jun Xu;A. Kumar;Xingxing Yu

  • Modeling channel popularity dynamics in a large IPTV system

    Tongqing Qiu;Zihui Ge;Seungjoon Lee;Jia Wang

  • Sketch Guided Sampling - Using On-Line Estimates of Flow Size for Adaptive Data Collection

    A. Kumar;J. Xu

  • Regret-minimizing representative databases

    Danupon Nanongkai;Atish Das Sarma;Ashwin Lall;Richard J. Lipton

  • Modeling user activities in a large IPTV system

    Tongqing Qiu;Zihui Ge;Seungjoon Lee;Jia Wang

  • Space-code bloom filter for efficient traffic flow measurement

    Abhishek Kumar;Jun (Jim) Xu;Li Li;Jia Wang

  • On the design and performance of prefix-preserving IP traffic trace anonymization

    Jun Xu;Jinliang Fan;Mostafa Ammar;Sue B. Moon

  • Diagnosing network disruptions with network-wide analysis

    Yiyi Huang;Nick Feamster;Anukool Lakhina;Jim (Jun) Xu

  • ACES: adaptive clock estimation and synchronization using Kalman filtering

    Benjamin R. Hamilton;Xiaoli Ma;Qi Zhao;Jun Xu

  • Ulysses: a robust, low‐diameter, low‐latency peer‐to‐peer network

    Abhishek Kumar;Shashidhar Merugu;Jun (Jim) Xu;Ellen W. Zegura

Frequent Co-Authors

Roel Vermeulen
Roel Vermeulen Utrecht University
Qing Lan
Qing Lan National Institutes of Health
Nathaniel Rothman
Nathaniel Rothman National Institutes of Health
Jianjun Liu
Jianjun Liu Genome Institute of Singapore
Bill Lin
Bill Lin University of California, San Diego
Jia Wang
Jia Wang AT&T (United States)
Amy Hutchinson
Amy Hutchinson National Cancer Institute
Meredith Yeager
Meredith Yeager Hood College
Xinbing Wang
Xinbing Wang Shanghai Jiao Tong University
Stephen J. Chanock
Stephen J. Chanock National Institutes of Health

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