World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
59
Citations
13360
World Ranking
3438
National Ranking
1661

Y. Charlie Hu 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 Y. Charlie Hu 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: 217 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Y. Charlie Hu 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 Y. Charlie Hu 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: 59 D-Index — 77th percentile

77% 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

  • 2016 - IEEE Fellow For contributions to power modeling and energy management of mobile devices
  • 2014 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2010 - ACM Distinguished Member
  • 2007 - ACM Senior Member

Overview

Y. Charlie Hu is a researcher affiliated with Purdue University West Lafayette in the United States. Their primary fields of study encompass Engineering and Computer Science, with notable subfields including Computer Vision and Pattern Recognition, Ocean Engineering, Aerospace Engineering, Biomedical Engineering, and Control and Systems Engineering.

Their recent scholarly work features a publication titled A Deep Learning Method for Ship Detection and Traffic Monitoring in an Offshore Wind Farm Area (2023), which appeared in the Journal of Marine Science and Engineering. This paper has garnered a number of citations since its release.

Their collaboration network includes frequent co-authors such as Xintong Liu, Huiting Ji, Mingyang Zhang, Qing Yu, and Xiangming Jiao, reflecting a diverse research partnership within their fields of study.

The main research topics addressed in their work involve advanced neural network applications, underwater vehicles and communication systems, robotics and sensor-based localization, robotic path planning algorithms, robotic locomotion and control, and control and dynamics of mobile robots.

  • A Deep Learning Method for Ship Detection and Traffic Monitoring in an Offshore Wind Farm Area, 2023, Journal of Marine Science and Engineering

  • Xintong Liu
  • Huiting Ji
  • Mingyang Zhang
  • Qing Yu
  • Xiangming Jiao

  • Journal of Marine Science and Engineering

  • Engineering
  • Computer Science

  • Computer Vision and Pattern Recognition
  • Ocean Engineering
  • Aerospace Engineering
  • Biomedical Engineering
  • Control and Systems Engineering

  • Advanced Neural Network Applications
  • Underwater Vehicles and Communication Systems
  • Robotics and Sensor-Based Localization
  • Robotic Path Planning Algorithms
  • Robotic Locomotion and Control
  • Control and Dynamics of Mobile Robots

Y. Charlie Hu has been recognized with several distinctions, including being named an IEEE Fellow in 2016 for contributions to power modeling and energy management of mobile devices. Additional honors include Fellowship of the American Association for the Advancement of Science (AAAS) awarded in 2014, as well as distinctions as an ACM Distinguished Member in 2010 and an ACM Senior Member in 2007.

Best Publications

  • Where is the energy spent inside my app?: fine grained energy accounting on smartphones with Eprof

    Abhinav Pathak;Y. Charlie Hu;Ming Zhang

  • Fine-grained power modeling for smartphones using system call tracing

    Abhinav Pathak;Y. Charlie Hu;Ming Zhang;Paramvir Bahl

  • What is keeping my phone awake?: characterizing and detecting no-sleep energy bugs in smartphone apps

    Abhinav Pathak;Abhilash Jindal;Y. Charlie Hu;Samuel P. Midkiff

  • Path planning of mobile landmarks for localization in wireless sensor networks

    Dimitrios Koutsonikolas;Saumitra M. Das;Y. Charlie Hu

  • The only constant is change: incorporating time-varying network reservations in data centers

    Di Xie;Ning Ding;Y. Charlie Hu;Ramana Kompella

  • On the impact of packet spraying in data center networks

    Advait Dixit;Pawan Prakash;Y. Charlie Hu;Ramana Rao Kompella

  • Performance comparison of scalable location services for geographic ad hoc routing

    S.M. Das;H. Pucha;Y.C. Hu

  • Exploiting network proximity in peer-to-peer overlay networks

    Miguel Castro;Peter Druschel;Y. Charlie Hu;Antony Rowstron

  • The only constant is change: incorporating time-varying network reservations in data centers

    Unknown

  • Bootstrapping energy debugging on smartphones: a first look at energy bugs in mobile devices

    Abhinav Pathak;Y. Charlie Hu;Ming Zhang

  • iSPY: detecting IP prefix hijacking on my own

    Zheng Zhang;Ying Zhang;Y. Charlie Hu;Z. Morley Mao

  • Deployment of mobile robots with energy and timing constraints

    Yongguo Mei;Yung-Hsiang Lu;Y.C. Hu;C.S.G. Lee

  • Topology-aware routing in structured peer-to-peer overlay networks

    Miguel Castro;Peter Druschel;Y. Charlie Hu;Antony Rowstron

  • Characterizing and modeling the impact of wireless signal strength on smartphone battery drain

    Ning Ding;Daniel Wagner;Xiaomeng Chen;Abhinav Pathak

  • Furion: Engineering High-Quality Immersive Virtual Reality on Today's Mobile Devices

    Zeqi Lai;Y. Charlie Hu;Yong Cui;Linhui Sun

  • Efficient network-coding-based opportunistic routing through cumulative coded acknowledgments

    Dimitrios Koutsonikolas;Chih-Chun Wang;Y. Charlie Hu

  • Ekta: an efficient DHT substrate for distributed applications in mobile ad hoc networks

    Unknown

  • Duet: cloud scale load balancing with hardware and software

    Rohan Gandhi;Hongqiang Harry Liu;Y. Charlie Hu;Guohan Lu

  • Hierarchical geographic multicast routing for wireless sensor networks

    Dimitrios Koutsonikolas;Saumitra M. Das;Y. Charlie Hu;Ivan Stojmenovic

  • Kosha: A Peer-to-Peer Enhancement for the Network File System

    Ali Raza Butt;Troy A. Johnson;Yili Zheng;Y. Charlie Hu

  • Furion: Engineering High-Quality Immersive Virtual Reality on Today's Mobile Devices

    Zeqi Lai;Y. Charlie Hu;Yong Cui;Linhui Sun

  • Path Planning of Mobile Landmarks for Localization inWireless Sensor Networks

    D. Koutsonikolas;S.M. Das;Y.C. Hu

Frequent Co-Authors

Dimitrios Koutsonikolas
Dimitrios Koutsonikolas Northeastern University
Samuel P. Midkiff
Samuel P. Midkiff Purdue University West Lafayette
Saumitra Mohan Das
Saumitra Mohan Das Blue Hexagon Inc.
Ming Zhang
Ming Zhang Alibaba Group (China)
Z. Morley Mao
Z. Morley Mao University of Michigan–Ann Arbor
Yung-Hsiang Lu
Yung-Hsiang Lu Purdue University West Lafayette
Willy Zwaenepoel
Willy Zwaenepoel University of Sydney
Alan L. Cox
Alan L. Cox Rice University
Sonia Fahmy
Sonia Fahmy Purdue University West Lafayette
Cheng-Kok Koh
Cheng-Kok Koh Purdue University West Lafayette

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