World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
5787
World Ranking
9398
National Ranking
1191

Zili Shao 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 Zili Shao 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 308 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Zili Shao 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 Zili Shao sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Zili Shao is affiliated with the Chinese University of Hong Kong in China. Their research primarily falls within the domain of Computer Science, with a strong focus on Computer Networks and Communications, Information Systems, Hardware and Architecture, Electrical and Electronic Engineering, and Signal Processing.

The scientist's work covers multiple key topics including Advanced Data Storage Technologies, Caching and Content Delivery, Parallel Computing and Optimization Techniques, Cloud Computing and Resource Management, Blockchain Technology Applications and Security, Advanced Database Systems and Queries, as well as Cellular Automata and Applications.

Zili Shao has contributed to several recent publications. Noteworthy papers include:

  • "A Survey of Blockchain Data Management Systems," 2022, ACM Transactions on Embedded Computing Systems
  • "Which is the best PID variant for pneumatic soft robots an experimental study," 2020, IEEE/CAA Journal of Automatica Sinica
  • "Understanding Characteristics and System Implications of DAG-Based Blockchain in IoT Environments," 2021, IEEE Internet of Things Journal
  • "SlimCache," 2020, ACM Transactions on Storage
  • "Heracles," 2021, Proceedings of the VLDB Endowment

They frequently publish in venues such as:

  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • arXiv (Cornell University)
  • Proceedings of the ACM on Management of Data
  • Zenodo (CERN European Organization for Nuclear Research)
  • Proceedings of the VLDB Endowment

Collaboration is a consistent element of their work, with notable frequent co-authors including Zhaoyan Shen, Tianyu Wang, Zhiping Jia, Chenlin Ma, and Jin Xue.

Best Publications

  • Regulated Charging of Plug-in Hybrid Electric Vehicles for Minimizing Load Variance in Household Smart Microgrid

    Linni Jian;Honghong Xue;Guoqing Xu;Xinyu Zhu

  • LSM-trie: an LSM-tree-based ultra-large key-value store for small data

    Xingbo Wu;Yuehai Xu;Zili Shao;Song Jiang

  • Emerging NVM: A Survey on Architectural Integration and Research Challenges

    Jalil Boukhobza;Stéphane Rubini;Renhai Chen;Zili Shao

  • Voltage Assignment with Guaranteed Probability Satisfying Timing Constraint for Real-time Multiproceesor DSP

    Meikang Qiu;Zhiping Jia;Chun Xue;Zili Shao

  • Dynamic and Leakage Energy Minimization With Soft Real-Time Loop Scheduling and Voltage Assignment

    Meikang Qiu;L.T. Yang;Zili Shao;E.H.-M. Sha

  • Security protection and checking for embedded system integration against buffer overflow attacks via hardware/software

    Zili Shao;C. Xue;Q. Zhuge;M. Qiu

  • MNFTL: an efficient flash translation layer for MLC NAND flash memory storage systems

    Zhiwei Qin;Yi Wang;Duo Liu;Zili Shao

  • Real-Time Dynamic Voltage Loop Scheduling for Multi-Core Embedded Systems

    Zili Shao;Meng Wang;Ying Chen;Chun Xue

  • DIDACache: An Integration of Device and Application for Flash-based Key-value Caching

    Zhaoyan Shen;Feng Chen;Yichen Jia;Zili Shao

  • Emerging Directions in Embedded and Ubiquitous Computing

    Xiaobo Zhou;Oleg Sokolsky;Lu Yan;Eun-Sun Jung

  • Overhead-aware energy optimization for real-time streaming applications on multiprocessor System-on-Chip

    Yi Wang;Hui Liu;Duo Liu;Zhiwei Qin

  • Analysis of Hierarchical EDF Pre-emptive Scheduling

    Fengxiang Zhang;A. Burns

  • Efficient assignment and scheduling for heterogeneous DSP systems

    Z. Shao;Q. Zhuge;C. Xue;E.H.-M. Sha

  • Defending embedded systems against buffer overflow via hardware/software

    Z. Shao;Q. Zhuge;Y. He;E.H.-M. Sha

  • A Two-Level Caching Mechanism for Demand-Based Page-Level Address Mapping in NAND Flash Memory Storage Systems

    Zhiwei Qin;Yi Wang;Duo Liu;Zili Shao

  • A Survey of Blockchain Data Management Systems

    Unknown

  • PCM-FTL: A Write-Activity-Aware NAND Flash Memory Management Scheme for PCM-Based Embedded Systems

    Duo Liu;Tianzheng Wang;Yi Wang;Zhiwei Qin

  • Demand-based block-level address mapping in large-scale NAND flash storage systems

    Zhiwei Qin;Yi Wang;Duo Liu;Zili Shao

  • Curling-PCM: Application-specific wear leveling for phase change memory based embedded systems

    Duo Liu;Tianzheng Wang;Yi Wang;Zili Shao

  • A Dynamic Neural Network Approach for Efficient Control of Manipulators

    Shuai Li;Zili Shao;Yong Guan

  • Efficent algorithm of energy minimization for heterogeneous wireless sensor network

    Meikang Qiu;Chun Xue;Zili Shao;Qingfeng Zhuge

  • RT-ROS

    Hongxing Wei;Zhenzhou Shao;Zhen Huang;Renhai Chen

Frequent Co-Authors

Edwin H.-M. Sha
Edwin H.-M. Sha East China Normal University
Bin Xiao
Bin Xiao Hong Kong Polytechnic University
Meilin Liu
Meilin Liu Georgia Institute of Technology
Meikang Qiu
Meikang Qiu Augusta University
Chun Jason Xue
Chun Jason Xue Mohamed bin Zayed University of Artificial Intelligence
Shuai Li
Shuai Li University of Oulu
Minyi Guo
Minyi Guo Shanghai Jiao Tong University
Tao Li
Tao Li University of Florida
Jiannong Cao
Jiannong Cao Hong Kong Polytechnic University
Tianmiao Wang
Tianmiao Wang Beihang University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education in Computer Science opens the door to a wide range of flexible pathways. Today, many students choose to fast-track their entry into the field with 1 year associate degree programs online. These short programs can help you gain foundational skills for tech jobs or serve as a stepping stone to a bachelor’s degree.

If affordability is your top concern, you’ll find that there are many cheapest online degrees available in computer science and related disciplines. These programs let you earn a respected credential without the heavy burden of student debt.

For students who may not have a strong academic record, there are universities for low gpa, making higher education more accessible. Completing your undergraduate or graduate degree in this way can still unlock strong job prospects.

At the graduate level, completing one of the best masters degree to get in tech is a powerful way to advance your career and specialize in high-demand areas like AI, cybersecurity, or data science.

Best Scientists Citing Zili Shao

Trending Scientists

Recently Published Articles