World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
93
Citations
31334
World Ranking
523
National Ranking
279

Guohong Cao 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 Guohong Cao 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: 314 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Guohong Cao 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 Guohong Cao 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: 93 D-Index — 97th percentile

97% 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

  • 2019 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2011 - IEEE Fellow For contributions to algorithm and protocol design for mobile ad hoc and sensor networks

Overview

Guohong Cao is affiliated with Pennsylvania State University in the United States. Their research spans multiple fields with a primary focus on computer science and medicine. Within these, their work covers various subfields including computer networks and communications, computer vision and pattern recognition, artificial intelligence, hepatology, and information systems.

The scientist's research topics reflect a diverse interest in technology and healthcare. These include:

  • IoT and Edge/Fog Computing
  • Advanced Neural Network Applications
  • Caching and Content Delivery
  • Human Mobility and Location-Based Analysis
  • Privacy-Preserving Technologies in Data
  • Image and Video Quality Assessment
  • Hepatocellular Carcinoma Treatment and Prognosis

Guohong Cao has produced numerous publications, with significant recent papers including:

  • "Deep Reinforcement Learning-Based Server Selection for Mobile Edge Computing," 2021, IEEE Transactions on Vehicular Technology
  • "Preserving personalized location privacy in ride-hailing service," 2020, Tsinghua Science & Technology
  • "ApneaDetector," 2021, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • "Deep Learning Video Analytics Through Edge Computing and Neural Processing Units on Mobile Devices," 2021, IEEE Transactions on Mobile Computing
  • "Context-Aware and Energy-Aware Video Streaming on Smartphones," 2020, IEEE Transactions on Mobile Computing

Their frequent publication venues demonstrate a solid presence in prominent scientific outlets. These venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Mobile Computing
  • IEEE Transactions on Vehicular Technology
  • Tsinghua Science & Technology
  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies

Collaborations are a notable part of Guohong Cao's work, involving several frequent co-authors such as Tianxiang Tan, Xiaomei Zhang, Heting Liu, Xianda Chen, and Thomas La Porta.

Guohong Cao has also authored a book titled Event Attendance Prediction in Social Networks, published by Springer International Publishing in 2021.

Awards recognizing their contributions include being named a Fellow of the American Association for the Advancement of Science (AAAS) in 2019 and receiving the IEEE Fellow distinction in 2011 for contributions to algorithm and protocol design for mobile ad hoc and sensor networks.

Best Publications

  • VADD: Vehicle-Assisted Data Delivery in Vehicular Ad Hoc Networks

    J. Zhao;G. Cao

  • Movement-assisted sensor deployment

    Guiling Wang;Guohong Cao;Tom La Porta

  • Movement-assisted sensor deployment

    Guiling Wang;Guohong Cao;T. La Porta

  • VADD: Vehicle-Assisted Data Delivery in Vehicular Ad Hoc Networks

    Jing Zhao;Guohong Cao

  • Supporting cooperative caching in ad hoc networks

    Liangzhong Yin;Guohong Cao

  • Supporting cooperative caching in ad hoc networks

    Liangzhong Yin;Guohong Cao

  • Sensor relocation in mobile sensor networks

    Guiling Wang;Guohong Cao;T.La Porta;Wensheng Zhang

  • Multicasting in delay tolerant networks: a social network perspective

    Wei Gao;Qinghua Li;Bo Zhao;Guohong Cao

  • DCTC: dynamic convoy tree-based collaboration for target tracking in sensor networks

    Wensheng Zhang;Guohong Cao

  • Routing in Socially Selfish Delay Tolerant Networks

    Qinghua Li;Sencun Zhu;Guohong Cao

  • SDAP: A Secure Hop-by-Hop Data Aggregation Protocol for Sensor Networks

    Yi Yang;Xinran Wang;Sencun Zhu;Guohong Cao

  • Achieving k-anonymity in privacy-aware location-based services

    Ben Niu;Qinghua Li;Xiaoyan Zhu;Guohong Cao

  • Bidding Protocols for Deploying Mobile Sensors

    G. Wang;Guohong Cao;P. Berman;T.F. La Porta

  • rDCF: A Relay-Enabled Medium Access Control Protocol for Wireless Ad Hoc Networks

    Hao Zhu;Guohong Cao

  • SDAP: a secure hop-by-Hop data aggregation protocol for sensor networks

    Yi Yang;Xinran Wang;Sencun Zhu;Guohong Cao

  • A scalable low-latency cache invalidation strategy for mobile environments

    Guohong Cao

  • Towards statistically strong source anonymity for sensor networks

    Yi Yang;Min Shao;Sencun Zhu;Guohong Cao

  • Enhancing privacy through caching in location-based services

    Ben Niu;Qinghua Li;Xiaoyan Zhu;Guohong Cao

  • Cooperative cache-based data access in ad hoc networks

    Guohong Cao;Liangzhong Yin;C.R. Das

  • Data Pouring and Buffering on the Road: A New Data Dissemination Paradigm for Vehicular Ad Hoc Networks

    Jing Zhao;Yang Zhang;Guohong Cao

Frequent Co-Authors

Sencun Zhu
Sencun Zhu Pennsylvania State University
Wensheng Zhang
Wensheng Zhang Iowa State University
Wei Gao
Wei Gao University of Pittsburgh
Thomas F. La Porta
Thomas F. La Porta Pennsylvania State University
Chita R. Das
Chita R. Das Pennsylvania State University
Mukesh Singhal
Mukesh Singhal University of California, Merced
Guiling Wang
Guiling Wang University of Connecticut
Ananthram Swami
Ananthram Swami United States Army Research Laboratory
Prasant Mohapatra
Prasant Mohapatra University of South Florida
Yonggang Wen
Yonggang Wen Nanyang Technological University

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