World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
5329
World Ranking
10833
National Ranking
4512

Dakai Zhu 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 Dakai Zhu 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: 120 publications — 15th percentile

15% of scientists in this discipline score the same or lower.

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

Dakai Zhu 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 Dakai Zhu 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Dakai Zhu is affiliated with The University of Texas at San Antonio in the United States. Their research expertise spans multiple domains, primarily within Computer Science and Biochemistry, Genetics, and Molecular Biology. Zhu's work bridges interdisciplinary fields, reflecting a focus on both computational and biological sciences.

The main fields of study associated with Zhu include:

  • Computer Science
  • Biochemistry, Genetics and Molecular Biology

Within these broader disciplines, their subfields of study further specify contributions in areas such as:

  • Molecular Biology
  • Hardware and Architecture
  • Computer Networks and Communications
  • Genetics
  • Artificial Intelligence

Zhu's research topics reveal targeted interests including:

  • RNA modifications and cancer
  • Real-Time Systems Scheduling
  • Genetic Associations and Epidemiology
  • Parallel Computing and Optimization Techniques
  • Distributed systems and fault tolerance
  • Epigenetics and DNA Methylation
  • Cancer Genomics and Diagnostics

They have contributed to a range of peer-reviewed academic papers, notable among these are:

  • "A Flexible SDN-Based Architecture for Identifying and Mitigating Low-Rate DDoS Attacks Using Machine Learning," 2020, IEEE Access
  • "Cross-ancestry genome-wide meta-analysis of 61,047 cases and 947,237 controls identifies new susceptibility loci contributing to lung cancer," 2022, Nature Genetics
  • "Protein-altering germline mutations implicate novel genes related to lung cancer development," 2020, Nature Communications
  • "A Large-Scale Genome-Wide Gene-Gene Interaction Study of Lung Cancer Susceptibility in Europeans With a Trans-Ethnic Validation in Asians," 2022, Journal of Thoracic Oncology
  • "Automatic Detection of Cybersickness from Physiological Signal in a Virtual Roller Coaster Simulation," 2020, 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)

Zhu frequently publishes in venues such as:

  • Journal of Systems Architecture
  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • IEEE Access
  • npj Precision Oncology

The scientist collaborates with several frequent co-authors, including:

  • Xiangjun Xiao
  • David C. Christiani
  • Christopher I. Amos
  • Susanne M. Arnold
  • John K. Field

Best Publications

  • Scheduling with dynamic voltage/speed adjustment using slack reclamation in multiprocessor real-time systems

    D. Zhu;R. Melhem;B.R. Childers

  • The effects of energy management on reliability in real-time embedded systems

    Dakai Zhu;R. Melhem;D. Mosse

  • A Flexible SDN-Based Architecture for Identifying and Mitigating Low-Rate DDoS Attacks Using Machine Learning

    Jesus Arturo Perez-Diaz;Ismael Amezcua Valdovinos;Kim-Kwang Raymond Choo;Dakai Zhu

  • Reliability-Aware Energy Management for Periodic Real-Time Tasks

    H. Aydin;Dakai Zhu

  • Energy aware scheduling for distributed real-time systems

    R. Mishra;N. Rastogi;Dakai Zhu;D. Mosse

  • System-Level Energy Management for Periodic Real-Time Tasks

    Hakan Aydin;Vinay Devadas;Dakai Zhu

  • Reliability-aware dynamic energy management in dependable embedded real-time systems

    Dakai Zhu

  • An elastic mixed-criticality task model and its scheduling algorithm

    Hang Su;Dakai Zhu

  • Multiple-resource periodic scheduling problem: how much fairness is necessary?

    Dakai Zhu;D. Mosse;R. Melhem

  • Fault-Tolerant Scheduling for Real-Time Scientific Workflows with Elastic Resource Provisioning in Virtualized Clouds

    Xiaomin Zhu;Ji Wang;Hui Guo;Dakai Zhu

  • Scheduling with dynamic voltage/speed adjustment using slack reclamation in multi-processor real-time systems

    D. Zhu;R. Melhem;B. Childers

  • On Reliability Management of Energy-Aware Real-Time Systems Through Task Replication

    Mohammad A. Haque;Hakan Aydin;Dakai Zhu

  • Energy-efficient policies for embedded clusters

    Ruibin Xu;Dakai Zhu;Cosmin Rusu;Rami Melhem

  • Shared recovery for energy efficiency and reliability enhancements in real-time applications with precedence constraints

    Baoxian Zhao;Hakan Aydin;Dakai Zhu

  • On Maximizing Reliability of Real-Time Embedded Applications Under Hard Energy Constraint

    Baoxian Zhao;H Aydin;Dakai Zhu

  • Power-aware scheduling for AND/OR graphs in real-time systems

    D. Zhu;D. Mosse;R. Melhem

  • Energy management for real-time embedded systems with reliability requirements

    Dakai Zhu;Hakan Aydin

  • Energy Management under General Task-Level Reliability Constraints

    Baoxian Zhao;Hakan Aydin;Dakai Zhu

  • Enhanced reliability-aware power management through shared recovery technique

    Baoxian Zhao;Hakan Aydin;Dakai Zhu

  • Sensor placement for lifetime maximization in monitoring oil pipelines

    Yifeng Guo;Fanxin Kong;Dakai Zhu;Ali Şaman Tosun

  • Reliability-Aware Energy Management for Periodic Real-Time Tasks

    D. Zhu;H. Aydin

Frequent Co-Authors

Hakan Aydin
Hakan Aydin George Mason University
Rami Melhem
Rami Melhem University of Pittsburgh
Daniel Mosse
Daniel Mosse University of Pittsburgh
Laurence T. Yang
Laurence T. Yang St. Francis Xavier University
Bruce R. Childers
Bruce R. Childers University of Pittsburgh
Hai Jin
Hai Jin Huazhong University of Science and Technology
Kim-Kwang Raymond Choo
Kim-Kwang Raymond Choo The University of Texas at San Antonio
Zili Shao
Zili Shao Chinese University of Hong Kong
Samarjit Chakraborty
Samarjit Chakraborty University of North Carolina at Chapel Hill
Meikang Qiu
Meikang Qiu Augusta University

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