World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
11677
World Ranking
7809
National Ranking
3380

Cheng Huang 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 Cheng Huang 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: 156 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Cheng Huang 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 Cheng Huang 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Cheng Huang is affiliated with Microsoft in the United States and has contributed extensively to the field of computer science. Their research outputs span a variety of core areas, with a strong focus on artificial intelligence, information systems, and electrical and electronic engineering.

Their body of work includes frequent publications in prestigious venues such as IEEE Internet of Things Journal, IEEE Transactions on Mobile Computing, IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Vehicular Technology, and GLOBECOM 2022 - 2022 IEEE Global Communications Conference.

Cheng Huang's recent papers cover topics including decentralized authentication architectures for vehicular networks, task recommendation while preserving location privacy in mobile crowdsensing, blockchain-integrated federated learning for industrial data sharing, and data accountability in industrial Internet of Things environments. Sample publications include:

  • Achieving Accountable and Efficient Data Sharing in Industrial Internet of Things, 2020, IEEE Transactions on Industrial Informatics
  • Blockchain-Assisted Transparent Cross-Domain Authorization and Authentication for Smart City, 2022, IEEE Internet of Things Journal

Other notable publications authored by their frequent collaborators include:

  • Delegating Authentication to Edge: A Decentralized Authentication Architecture for Vehicular Networks, 2020, IEEE Transactions on Intelligent Transportation Systems
  • Location Privacy-Preserving Task Recommendation With Geometric Range Query in Mobile Crowdsensing, 2021, IEEE Transactions on Mobile Computing
  • Privacy-Preserved Credit Data Sharing Integrating Blockchain and Federated Learning for Industrial 4.0, 2022, IEEE Transactions on Industrial Informatics

Collaborators frequently working alongside Cheng Huang include Xuemin Shen, Dongxiao Liu, Rongxing Lu, Jianbing Ni, and Liang Xue, each contributing to multiple joint publications.

The scientist's expertise is reflected in their main research topics, which encompass:

  • Cryptography and Data Security
  • Privacy-Preserving Technologies in Data
  • Blockchain Technology Applications and Security
  • Cloud Data Security Solutions
  • Privacy, Security, and Data Protection
  • Electric Power System Optimization
  • Vehicular Ad Hoc Networks (VANETs)

Cheng Huang has contributed to book publications as well, including a work titled Decentralized Privacy Preservation in Smart Cities published in 2024 by Springer International Publishing, indicating an ongoing engagement with privacy and decentralized systems in urban contexts.

Best Publications

  • Erasure coding in windows azure storage

    Cheng Huang;Huseyin Simitci;Yikang Xu;Aaron Ogus

  • Pyramid Codes: Flexible Schemes to Trade Space for Access Efficiency in Reliable Data Storage Systems

    Cheng Huang;Minghua Chen;Jin Li

  • On the Locality of Codeword Symbols

    P. Gopalan;Cheng Huang;H. Simitci;S. Yekhanin

  • Challenges, design and analysis of a large-scale p2p-vod system

    Yan Huang;Tom Z.J. Fu;Dah-Ming Chiu;John C.S. Lui

  • STAR : An Efficient Coding Scheme for Correcting Triple Storage Node Failures

    Cheng Huang;Lihao Xu

  • Can internet video-on-demand be profitable?

    Cheng Huang;Jin Li;Keith W. Ross

  • Rethinking erasure codes for cloud file systems: minimizing I/O for recovery and degraded reads

    Osama Khan;Randal Burns;James Plank;William Pierce

  • Pyramid Codes: Flexible Schemes to Trade Space for Access Efficiency in Reliable Data Storage Systems

    Cheng Huang;Minghua Chen;Jin Li

  • Challenges, design and analysis of a large-scale p2p-vod system

    Unknown

  • STAR: an efficient coding scheme for correcting triple storage node failures

    Cheng Huang;Lihao Xu

  • Vehicular Fog Computing: Architecture, Use Case, and Security and Forensic Challenges

    Cheng Huang;Rongxing Lu;Kim-Kwang Raymond Choo

  • Determining Network Delay and CDN Deployment

    Cheng Huang;Jin Li;Angela Wang;Keith Wimberly Ross

  • Towards street-level client-independent IP geolocation

    Yong Wang;Daniel Burgener;Marcel Flores;Aleksandar Kuzmanovic

  • Simple regenerating codes: Network coding for cloud storage

    Dimitris S. Papailiopoulos;Jianqiang Luo;Alexandros G. Dimakis;Cheng Huang

  • Understanding hybrid CDN-P2P: why limelight needs its own Red Swoosh

    Cheng Huang;Angela Wang;Jin Li;Keith W. Ross

  • Erasure coding across multiple zones and sub-zones

    Sergey Yekhanin;Huseyin Simitci;Aaron W. Ogus;Jin Li

  • Measuring and Evaluating Large-Scale CDNs

    Cheng Huang;Angela Wang;Jin Li;Keith W. Ross

  • Erasure coding across multiple zones

    Bradley G. Calder;Parikshit Santhana Gopalan;Cheng Huang;Jin Li

  • Explicit Maximally Recoverable Codes With Locality

    Parikshit Gopalan;Cheng Huang;Bob Jenkins;Sergey Yekhanin

  • Using dns reflection to measure network performance

    Cheng Huang;Nicholas Leonard Holt;Albert G. Greenberg;Jin Li

  • System and process for controlling the coding bit rate of streaming media data employing a limited number of supported coding bit rates

    Philip Chou;Anders Klemets;Cheng Huang

  • An Efficient Privacy-Preserving Location-Based Services Query Scheme in Outsourced Cloud

    Hui Zhu;Rongxing Lu;Cheng Huang;Le Chen

  • Peer-Assisted VoD: Making Internet Video Distribution Cheap.

    Cheng Huang;Jin Li;Keith W. Ross

  • Erasure-resilient codes having multiple protection groups

    Cheng Huang;Minghua Chen;Jin Li

  • Delegating Authentication to Edge: A Decentralized Authentication Architecture for Vehicular Networks

    Anjia Yang;Jian Weng;Kan Yang;Cheng Huang

  • Secure Automated Valet Parking: A Privacy-Preserving Reservation Scheme for Autonomous Vehicles

    Cheng Huang;Rongxing Lu;Xiaodong Lin;Xuemin Shen

  • Permutation code: Optimal exact-repair of a single failed node in MDS code based distributed storage systems

    Viveck R. Cadambe;Cheng Huang;Jin Li

  • Multi-Tiered Cache with Storage Medium Awareness

    Sudipta Sengupta;Jin Li;Cheng Huang;Timothy Andrew Pritchett

Frequent Co-Authors

Jin Li
Jin Li Microsoft (United States)
Keith W. Ross
Keith W. Ross New York University
Philip A. Chou
Philip A. Chou Google (United States)
Sergey Yekhanin
Sergey Yekhanin Microsoft (United States)
Anders E. Klemets
Anders E. Klemets Microsoft (United States)
Minghua Chen
Minghua Chen City University of Hong Kong
Sudipta Sengupta
Sudipta Sengupta Amazon (United States)
David A. Maltz
David A. Maltz Microsoft (United States)
Viveck R. Cadambe
Viveck R. Cadambe Pennsylvania State University
Jinyang Li
Jinyang Li New York University

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Related Online Degrees & Career Pathways

Expanding your education in Computer Science can open up new opportunities in related fields, many of which are now accessible through flexible online degree programs. These digital learning options are designed for students who need to balance work, family, and study without sacrificing quality education or career potential.

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Each pathway has its own requirements, but all offer valuable skills that complement Computer Science and support diverse career growth.

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