World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
3844
World Ranking
13238
National Ranking
5306

Guanhua Yan 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 Guanhua Yan 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: 89 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Guanhua Yan 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 Guanhua Yan 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Guanhua Yan is affiliated with Binghamton University in the United States. Their research spans multiple disciplines, including Computer Science and Medicine, with specific contributions in Signal Processing, Computer Networks and Communications, Neurology, Software, and Information Systems.

The primary topics of Guanhua Yan's work include:

  • Advanced Malware Detection Techniques
  • Network Security and Intrusion Detection
  • Software Testing and Debugging Techniques
  • Digital and Cyber Forensics
  • Autoimmune Neurological Disorders and Treatments
  • Peripheral Neuropathies and Disorders
  • Genetics and Neurodevelopmental Disorders

Their notable recent publications include:

  • Clinical and imaging features and treatment response of anti-NMDAR encephalitis combined with MOGAD, 2025, Journal of Clinical Neuroscience
  • EAGLE: Evasion Attacks Guided by Local Explanations Against Android Malware Classification, 2023, IEEE Transactions on Dependable and Secure Computing
  • IoTInfer: Automated Blackbox Fuzz Testing of IoT Network Protocols Guided by Finite State Machine Inference, 2022, IEEE Internet of Things Journal

Frequent co-authors collaborating with Guanhua Yan include:

  • Zhan Shu
  • De-Cai Tian
  • Xinghu Zhang
  • Huabing Wang
  • Priti Wakodikar

The research output appears regularly in venues such as:

  • IEEE Internet of Things Journal
  • IEEE Transactions on Dependable and Secure Computing
  • Journal of Clinical Neuroscience

The combination of fields and topics covered in Guanhua Yan's work reflects a multidisciplinary approach, bridging areas of computer science focused on security, testing, and network protocols with clinical studies related to neurological disorders and treatments.

Best Publications

  • Containment of misinformation spread in online social networks

    Nam P. Nguyen;Guanhua Yan;My T. Thai;Stephan Eidenbenz

  • Discriminant malware distance learning on structural information for automated malware classification

    Deguang Kong;Guanhua Yan

  • VirusMeter: Preventing Your Cellphone from Spies

    Lei Liu;Guanhua Yan;Xinwen Zhang;Songqing Chen

  • Fine-grained private matching for proximity-based mobile social networking

    Rui Zhang;Yanchao Zhang;Jinyuan Sun;Guanhua Yan

  • Malware propagation in online social networks: nature, dynamics, and defense implications

    Guanhua Yan;Guanling Chen;Stephan Eidenbenz;Nan Li

  • Privacy-Preserving Profile Matching for Proximity-Based Mobile Social Networking

    Rui Zhang;Jinxue Zhang;Yanchao Zhang;Jinyuan Sun

  • Modeling Propagation Dynamics of Bluetooth Worms (Extended Version)

    Guanhua Yan;S. Eidenbenz

  • Discriminant malware distance learning on structuralinformation for automated malware classification

    Unknown

  • Simulation of large scale networks using SSF

    Nicol;Liu;Liljenstam;Guanhua Yan

  • BotTracer: Execution-Based Bot-Like Malware Detection

    Lei Liu;Songqing Chen;Guanhua Yan;Zhao Zhang

  • Classifying Malware Represented as Control Flow Graphs using Deep Graph Convolutional Neural Network

    Jiaqi Yan;Guanhua Yan;Dong Jin

  • Chrome Extensions: Threat Analysis and Countermeasures.

    Lei Liu;Xinwen Zhang;Guanhua Yan;Songqing Chen

  • Designing a Practical Access Point Association Protocol

    Fengyuan Xu;Chiu C. Tan;Qun Li;Guanhua Yan

  • RINSE: The Real-Time Immersive Network Simulation Environment for Network Security Exercises

    Michael Liljenstam;Jason Liu;David Nicol;Yougu Yuan

  • Exploring discriminatory features for automated malware classification

    Guanhua Yan;Nathan Brown;Deguang Kong

  • The Rise of Social Botnets: Attacks and Countermeasures

    Jinxue Zhang;Rui Zhang;Yanchao Zhang;Guanhua Yan

  • Bluetooth worm propagation: mobility pattern matters!

    Guanhua Yan;Hector D. Flores;Leticia Cuellar;Nicolas Hengartner

  • Analysis of misinformation containment in online social networks

    Nam P. Nguyen;Nam P. Nguyen;Guanhua Yan;My T. Thai

  • An event buffer flooding attack in DNP3 controlled SCADA systems

    Dong Jin;David M. Nicol;Guanhua Yan

  • Towards a bayesian network game framework for evaluating DDoS attacks and defense

    Guanhua Yan;Ritchie Lee;Alex Kent;David Wolpert

  • RINSE: The Real-Time Immersive Network Simulation Environment for Network Security Exercises (Extended Version)

    Michael Liljenstam;Jason Liu;David M. Nicol;Yougu Yuan

Frequent Co-Authors

Songqing Chen
Songqing Chen George Mason University
David M. Nicol
David M. Nicol University of Illinois at Urbana-Champaign
Yanchao Zhang
Yanchao Zhang Arizona State University
Xinwen Zhang
Xinwen Zhang Samsung (South Korea)
Yang Xiao
Yang Xiao University of Alabama
My T. Thai
My T. Thai University of Florida
Shiyong Lu
Shiyong Lu Wayne State University
Jie Wu
Jie Wu Temple University
David Kotz
David Kotz Dartmouth College
Srikanth V. Krishnamurthy
Srikanth V. Krishnamurthy University of California, Riverside

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Related Online Degrees & Career Pathways

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