World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
7663
World Ranking
11056
National Ranking
100

Cheng-Shang Chang 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-Shang Chang 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: 184 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Cheng-Shang Chang 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-Shang Chang 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Cheng-Shang Chang is affiliated with National Tsing Hua University in Taiwan. Their research primarily spans the fields of Engineering and Computer Science, with a notable focus on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Statistical and Nonlinear Physics, and Computer Vision and Pattern Recognition.

The scientist has contributed extensively to topics including:

  • Cooperative Communication and Network Coding
  • Complex Network Analysis Techniques
  • IoT Networks and Protocols
  • Advanced Wireless Communication Techniques
  • Advanced Wireless Communication Technologies
  • Advanced MIMO Systems Optimization
  • Advanced Graph Neural Networks

Cheng-Shang Chang's recent publications reflect a strong research presence in networking and graph-based methods. Notable papers include:

  • "Positively Correlated Samples Save Pooled Testing Costs" (2021), IEEE Transactions on Network Science and Engineering
  • "Poisson Receivers: A Probabilistic Framework for Analyzing Coded Random Access" (2021), IEEE/ACM Transactions on Networking
  • "ALOHA Receivers: A Network Calculus Approach for Analyzing Coded Multiple Access With SIC" (2021), IEEE/ACM Transactions on Networking
  • "Explainable, Stable, and Scalable Graph Convolutional Networks for Learning Graph Representation" (2020), arXiv (Cornell University)
  • "InterAct: Exploring the Potentials of ChatGPT as a Cooperative Agent" (2023), arXiv (Cornell University)

Their work has been published frequently in venues such as:

  • arXiv (Cornell University)
  • IEEE/ACM Transactions on Networking
  • IEEE Transactions on Network Science and Engineering
  • IEEE Transactions on Communications
  • Performance Evaluation

Collaborations have been an essential part of Cheng-Shang Chang's research career. Frequent co-authors include:

  • Duan-Shin Lee
  • Yi-Jheng Lin
  • Ruhui Zhang
  • Che-Hao Yu
  • Y.-W. Peter Hong

Best Publications

  • Stability, queue length, and delay of deterministic and stochastic queueing networks

    Cheng-Shang Chang

  • Effective bandwidths for multiclass Markov fluids and other ATM sources

    George Kesidis;Jean Walrand;Cheng-Shang Chang

  • Load balanced Birkhoff-von Neumann switches, part II: multi-stage buffering

    Cheng-Shang Chang;Duan-Shin Lee;Ching-Ming Lien

  • Load balanced Birkhoff-von Neumann switches, part I: one-stage buffering

    Unknown

  • Birkhoff-von Neumann input buffered crossbar switches

    Cheng-Shang Chang;Wen-Jyh Chen;Hsiang-Yi Huang

  • On deterministic traffic regulation and service guarantees: a systematic approach by filtering

    Cheng-Shang Chang

  • Effective bandwidth and fast simulation of ATM intree networks

    Cheng-Shang Chang;Philip Heidelberger;Sandeep Juneja;Perwez Shahabuddin

  • Effective bandwidths of departure processes from queues with time varying capacities

    Cheng-Shang Chang;T. Zajic

  • On service guarantees for input-buffered crossbar switches: a capacity decomposition approach by Birkhoff and von Neumann

    Cheng-Shang Chang;Wen-Jyh Chen;Hsiang-Yi Huang

  • Guaranteed quality-of-service wireless access to ATM networks

    Cheng-Shang Chang;Kwang-Cheng Chen;Ming-Young You;Jin-Fu Chang

  • Sample path large deviations and intree networks

    Cheng Shang Chang

  • Mailbox switch: a scalable two-stage switch architecture for conflict resolution of ordered packets

    Cheng-Shang Chang;Duan-Shin Lee;Ying-Ju Shih;Chao-Lin Yu

  • Load balanced Birkhoff-von Neumann switches

    Cheng-Shang Chang;Duan-Shin Lee;Yi-Shean Jou

  • Constructions of optical FIFO queues

    Cheng-Shang Chang;Yi-Ting Chen;Duan-Shin Lee

  • Mailbox switch: a scalable two-stage switch architecture for conflict resolution of ordered packets

    Cheng-Shang Chang;Duan-Shin Lee;Ying-Ju Shih

  • Rearrangement, majorization and stochastic scheduling

    Cheng-Shang Chang;David D. Yao

  • A min, + system theory for constrained traffic regulation and dynamic service guarantees

    Cheng Shang Chang;Rene L. Cruz;Jean Yves Le Boudec;Patrick Thiran

  • Optimal load-balancing

    I. Keslassy;Cheng-Shang Chang;N. McKeown;Duan-Shin Lee

  • CR switch: a load-balanced switch with contention and reservation

    Chao-Lin Yu;Cheng-Shang Chang;Duan-Shin Lee

  • On the performance of multiplexing independent regulated inputs

    Cheng-Shang Chang;Yuh-ming Chiu;Wheyming Tina Song

  • (σ, ρ)-calculus

    Cheng-Shang Chang

Frequent Co-Authors

Wanjiun Liao
Wanjiun Liao National Taiwan University
David D. Yao
David D. Yao Columbia University
Michael Pinedo
Michael Pinedo New York University
Xiuli Chao
Xiuli Chao University of Michigan–Ann Arbor
Jang-Ping Sheu
Jang-Ping Sheu National Tsing Hua University
Philip Heidelberger
Philip Heidelberger IBM (United States)
Zhen Liu
Zhen Liu Nokia (Finland)
Kwang-Cheng Chen
Kwang-Cheng Chen University of South Florida
Gideon Weiss
Gideon Weiss University of Haifa
J. George Shanthikumar
J. George Shanthikumar Purdue University West Lafayette

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