World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
13516
World Ranking
4756
National Ranking
2213

Li Zhang 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 Li Zhang 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: 283 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

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

Li Zhang 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 Li Zhang 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: 53 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Overview

Li Zhang is a researcher affiliated with IBM in the United States, specializing in Computer Science with a focus on multiple subfields including Computer Networks and Communications, Information Systems, Software, Signal Processing, and Artificial Intelligence. Their work spans a range of topics primarily related to software engineering and cybersecurity.

Their research topics encompass:

  • Software Testing and Debugging Techniques
  • Advanced Malware Detection Techniques
  • Network Security and Intrusion Detection
  • Cloud Computing and Resource Management
  • Software Reliability and Analysis Research
  • Software Engineering Research
  • Information and Cyber Security

Li Zhang has contributed to various publication venues, with frequent appearances in:

  • Symmetry
  • arXiv (Cornell University)
  • International Journal of Critical Infrastructures
  • Computers & Security
  • Chinese Journal of Electronics

Their recent notable papers include:

  • "Three decades of deception techniques in active cyber defense - Retrospect and outlook," 2021, Computers & Security
  • "A graph structure feature-based framework for the pattern recognition of the operational states of integrated energy systems," 2022, Expert Systems with Applications

Among their frequent co-authors are:

  • Yukun Dong
  • Meng Wu
  • Wenjing Yin
  • Haojie Li
  • Vrizlynn L. L. Thing

Their work on malware detection, network security, cloud computing, and software reliability shows an interdisciplinary approach to addressing challenges in modern computing environments. The combination of topics such as advanced malware detection techniques and cloud resource management reflects a focus on securing and optimizing distributed computing systems.

Overall, Li Zhang's research outputs contribute to the understanding and development of cybersecurity defenses, software analysis, and operational frameworks for complex systems. Their involvement in multiple collaborations and publications across diverse scholarly venues highlights their active participation in these scientific discussions.

Best Publications

  • ArnetMiner: extraction and mining of academic social networks

    Jie Tang;Jing Zhang;Limin Yao;Juanzi Li

  • Improving the Scalability of Data Center Networks with Traffic-aware Virtual Machine Placement

    Xiaoqiao Meng;Vasileios Pappas;Li Zhang

  • Efficient resource provisioning in compute clouds via VM multiplexing

    Xiaoqiao Meng;Canturk Isci;Jeffrey Kephart;Li Zhang

  • Consolidating virtual machines with dynamic bandwidth demand in data centers

    Meng Wang;Xiaoqiao Meng;Li Zhang

  • Understanding retweeting behaviors in social networks

    Zi Yang;Jingyi Guo;Keke Cai;Jie Tang

  • MapTask scheduling in mapreduce with data locality: throughput and heavy-traffic optimality

    Weina Wang;Kai Zhu;Lei Ying;Jian Tan

  • Energy-Aware Autonomic Resource Allocation in Multitier Virtualized Environments

    D. Ardagna;B. Panicucci;M. Trubian;Li Zhang

  • Placement of virtual machines based on server cost and network cost

    Douglas M. Freimuth;Xiaoqiao Meng;Vasileios Pappas;Li Zhang

  • Clock synchronization algorithms for network measurements

    Li Zhang;Zhen Liu;C. Honghui Xia

  • Map task scheduling in MapReduce with data locality: Throughput and heavy-traffic optimality

    Weina Wang;Kai Zhu;Lei Ying;Jian Tan

  • SparkBench: a comprehensive benchmarking suite for in memory data analytic platform Spark

    Min Li;Jian Tan;Yandong Wang;Li Zhang

  • A smart hill-climbing algorithm for application server configuration

    Bowei Xi;Zhen Liu;Mukund Raghavachari;Cathy H. Xia

  • Analysis and characterization of large-scale Web server access patterns and performance

    Arun K. Iyengar;Mark S. Squillante;Li Zhang

  • Mining Social Emotions from Affective Text

    Shenghua Bao;Shengliang Xu;Li Zhang;Rong Yan

  • SLA based profit optimization in autonomic computing systems

    Li Zhang;Danilo Ardagna

  • MRONLINE: MapReduce online performance tuning

    Min Li;Liangzhao Zeng;Shicong Meng;Jian Tan

  • Adaptive, Model-driven Autoscaling for Cloud Applications

    Anshul Gandhi;Parijat Dube;Alexei A. Karve;Andrzej Kochut

  • SLA based resource allocation policies in autonomic environments

    Danilo Ardagna;Marco Trubian;Li Zhang

  • Delay tails in MapReduce scheduling

    Jian Tan;Xiaoqiao Meng;Li Zhang

  • Social context summarization

    Zi Yang;Keke Cai;Jie Tang;Li Zhang

Frequent Co-Authors

Zhen Liu
Zhen Liu Nokia (Finland)
Zhong Su
Zhong Su Alibaba Group (China)
Mark S. Squillante
Mark S. Squillante IBM (United States)
Danilo Ardagna
Danilo Ardagna Polytechnic University of Milan
Jianwen Liang
Jianwen Liang General Research Institute For Nonferrous Metals (China)
Asser N. Tantawi
Asser N. Tantawi IBM (United States)
David D. Yao
David D. Yao Columbia University
Weihong Qian
Weihong Qian Peking University
Daniel M. Dias
Daniel M. Dias IBM (United States)
Yong Yu
Yong Yu Shanghai Jiao Tong University

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