World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
13045
World Ranking
4525
National Ranking
2121

Haining Wang 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 Haining Wang 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: 218 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.

Haining Wang 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 Haining Wang 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: 54 D-Index — 69th percentile

69% 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

  • 2020 - IEEE Fellow For contributions to network and cloud security

Overview

Haining Wang is affiliated with Virginia Tech in the United States and has a research focus primarily within the field of Computer Science, with significant contributions toward Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, and Signal Processing.

Their research topics encompass a range of areas including:

  • Advanced Malware Detection Techniques
  • Network Security and Intrusion Detection
  • Robotics and Sensor-Based Localization
  • Internet Traffic Analysis and Secure E-voting
  • Indoor and Outdoor Localization Technologies
  • Underwater Vehicles and Communication Systems
  • Security and Verification in Computing

Haining Wang has published extensively in various venues, with frequent publications appearing in:

  • arXiv (Cornell University)
  • AHFE international
  • IEEE Transactions on Dependable and Secure Computing
  • SSRN Electronic Journal
  • IEEE Internet of Things Journal

Their recent papers highlight a multidisciplinary approach, covering topics in economics and technological systems. Selected recent publications include:

  • "Childhood adversity and the propensity for entrepreneurship: A quasi-experimental study of the Great Chinese Famine" (2020) published in the Journal of Business Venturing
  • "PILOT: High-Precision Indoor Localization for Autonomous Drones" (2023) published in IEEE Transactions on Vehicular Technology
  • "Kids eat free: School feeding and family spending on education" (2021) published in Journal of Economic Behavior & Organization
  • "Mama loves you: The gender wage gap and expenditure on children's education in China" (2021) published in Journal of Economic Behavior & Organization
  • "Childhood left-behind experience and labour market outcomes in China" (2021) published in Journal of Business Research

Haining Wang frequently collaborates with several co-authors, including:

  • Angelos Stavrou
  • Alireza Famili
  • Qiang Li
  • Zhiming Cheng
  • Jiqiang Liu

In recognition of contributions to network and cloud security, Haining Wang was named an IEEE Fellow in 2020.

Best Publications

  • Detecting SYN flooding attacks

    Haining Wang;Danlu Zhang;Kang G. Shin

  • Detecting Automation of Twitter Accounts: Are You a Human, Bot, or Cyborg?

    Zi Chu;S. Gianvecchio;Haining Wang;S. Jajodia

  • Hop-count filtering: an effective defense against spoofed DDoS traffic

    Cheng Jin;Haining Wang;Kang G. Shin

  • Who is tweeting on Twitter: human, bot, or cyborg?

    Zi Chu;Steven Gianvecchio;Haining Wang;Sushil Jajodia

  • Defense against spoofed IP traffic using hop-count filtering

    Haining Wang;Cheng Jin;Kang G. Shin

  • Whispers in the hyper-space: high-bandwidth and reliable covert channel attacks inside the cloud

    Zhenyu Wu;Zhang Xu;Haining Wang

  • You Are How You Touch: User Verification on Smartphones via Tapping Behaviors

    Nan Zheng;Kun Bai;Hai Huang;Haining Wang

  • Change-point monitoring for the detection of DoS attacks

    Haining Wang;Danlu Zhang;K.G. Shin

  • An efficient user verification system via mouse movements

    Nan Zheng;Aaron Paloski;Haining Wang

  • Detecting covert timing channels: an entropy-based approach

    Steven Gianvecchio;Haining Wang

  • 2015 IEEE Symposium on Security and Privacy SP 2015

    Jonathan Woodruff;Peter G. Neumann;Simon W. Moore;Jonathan Anderson

  • Detecting VoIP Floods Using the Hellinger Distance

    H. Sengar;Haining Wang;D. Wijesekera;S. Jajodia

  • Whispers in the hyper-space: high-speed covert channel attacks in the cloud

    Zhenyu Wu;Zhang Xu;Haining Wang

  • Detecting social spam campaigns on twitter

    Zi Chu;Indra Widjaja;Haining Wang

  • Enhancing cache robustness for content-centric networking

    Mengjun Xie;Indra Widjaja;Haining Wang

  • Model-Based Covert Timing Channels: Automated Modeling and Evasion

    Steven Gianvecchio;Haining Wang;Duminda Wijesekera;Sushil Jajodia

  • High Fidelity Data Reduction for Big Data Security Dependency Analyses

    Zhang Xu;Zhenyu Wu;Zhichun Li;Kangkook Jee

  • Characterizing insecure javascript practices on the web

    Chuan Yue;Haining Wang

  • An Entropy-Based Approach to Detecting Covert Timing Channels

    S. Gianvecchio;Haining Wang

  • ContainerLeaks: Emerging Security Threats of Information Leakages in Container Clouds

    Xing Gao;Zhongshu Gu;Mehmet Kayaalp;Dimitrios Pendarakis

  • VoIP Intrusion Detection Through Interacting Protocol State Machines

    H. Sengar;D. Wijesekera;Haining Wang;S. Jajodia

  • BogusBiter: A transparent protection against phishing attacks

    Chuan Yue;Haining Wang

Frequent Co-Authors

Angelos Stavrou
Angelos Stavrou Virginia Tech
N. A. Robertson
N. A. Robertson California Institute of Technology
Kang G. Shin
Kang G. Shin University of Michigan–Ann Arbor
Alessandra Buonanno
Alessandra Buonanno Max Planck Institute for Gravitational Physics
Sushil Jajodia
Sushil Jajodia George Mason University
Kun Sun
Kun Sun George Mason University
Paul D. Lasky
Paul D. Lasky Monash University
Maria Alessandra Papa
Maria Alessandra Papa Max Planck Institute for Gravitational Physics
Bernard F. Schutz
Bernard F. Schutz Cardiff University

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