World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
5314
World Ranking
9876
National Ranking
1242

Nan Guan 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 Nan Guan 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: 317 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Nan Guan 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 Nan Guan 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Nan Guan is a researcher affiliated with Hong Kong Polytechnic University in China. Their primary field of study is Computer Science, with a focus that spans several subfields including Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, and Electrical and Electronic Engineering.

Their work prominently features topics related to Real-Time Systems Scheduling, Parallel Computing and Optimization Techniques, Distributed Systems and Fault Tolerance, Distributed and Parallel Computing Systems, Embedded Systems Design Techniques, Interconnection Networks and Systems, and Network Time Synchronization Technologies.

Nan Guan's publication record includes numerous papers across various reputable venues. Frequent publication venues for their research include:

  • arXiv (Cornell University)
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • Journal of Systems Architecture
  • IEEE Transactions on Computers
  • IEEE Transactions on Parallel and Distributed Systems

Recent papers authored or co-authored by Nan Guan cover different aspects of real-time scheduling, time-sensitive networks, and machine learning applications to medical diagnosis. These papers include:

  • Real-Time Scheduling of Massive Data in Time Sensitive Networks With a Limited Number of Schedule Entries, 2020, IEEE Access
  • Joint Algorithm of Message Fragmentation and No-Wait Scheduling for Time-Sensitive Networks, 2021, IEEE/CAA Journal of Automatica Sinica
  • Which is the Best PID Variant for Pneumatic Soft Robots: An Experimental Study, 2020, IEEE/CAA Journal of Automatica Sinica
  • Design and Assessment of Convolutional Neural Network Based Methods for Vitiligo Diagnosis, 2021, Frontiers in Medicine
  • Energy-Efficient Parallel Real-Time Scheduling on Clustered Multi-Core, 2020, IEEE Transactions on Parallel and Distributed Systems

Their collaborative network includes frequent co-authors such as Mingsong Lv, Wang Yi, Xu Jiang, Chun Jason Xue, and Qingqiang He. These collaborations represent ongoing joint research efforts in related specialized fields.

Best Publications

  • New Response Time Bounds for Fixed Priority Multiprocessor Scheduling

    Nan Guan;Martin Stigge;Wang Yi;Ge Yu

  • The Digraph Real-Time Task Model

    Martin Stigge;Pontus Ekberg;Nan Guan;Wang Yi

  • Cache-aware scheduling and analysis for multicores

    Nan Guan;Martin Stigge;Wang Yi;Ge Yu

  • Building timing predictable embedded systems

    Philip Axer;Rolf Ernst;Heiko Falk;Alain Girault

  • AutoDietary: A Wearable Acoustic Sensor System for Food Intake Recognition in Daily Life

    Yin Bi;Mingsong Lv;Chen Song;Wenyao Xu

  • Combining Abstract Interpretation with Model Checking for Timing Analysis of Multicore Software

    Mingsong Lv;Wang Yi;Nan Guan;Ge Yu

  • Fixed-Priority Multiprocessor Scheduling with Liu and Layland's Utilization Bound

    Nan Guan;Martin Stigge;Wang Yi;Ge Yu

  • Effective and Efficient Scheduling of Certifiable Mixed-Criticality Sporadic Task Systems

    Nan Guan;Pontus Ekberg;Martin Stigge;Wang Yi

  • Semi-Federated Scheduling of Parallel Real-Time Tasks on Multiprocessors

    Xu Jiang;Nan Guan;Xiang Long;Wang Yi;Wang Yi

  • Efficient drone hijacking detection using two-step GA-XGBoost

    Zhiwei Feng;Zhiwei Feng;Nan Guan;Mingsong Lv;Wenchen Liu

  • Noninvasive and Continuous Blood Pressure Monitoring Using Wearable Body Sensor Networks

    Hao Lin;Wenyao Xu;Nan Guan;Dong Ji

  • Intra-Task Priority Assignment in Real-Time Scheduling of DAG Tasks on Multi-Cores

    Qingqiang He;Xu Jiang;Nan Guan;Zhishan Guo

  • New Schedulability Test Conditions for Non-preemptive Scheduling on Multiprocessor Platforms

    Nan Guan;Wang Yi;Zonghua Gu;Qingxu Deng

  • A Survey on Static Cache Analysis for Real-Time Systems

    Mingsong Lv;Nan Guan;Jan Reineke;Reinhard Wilhelm

  • EDF-VD Scheduling of Mixed-Criticality Systems with Degraded Quality Guarantees

    Di Liu;Jelena Spasic;Nan Guan;Gang Chen

  • A Survey of WCET Analysis of Real-Time Operating Systems

    Mingsong Lv;Nan Guan;Yi Zhang;Qingxu Deng

  • Response Time Analysis and Priority Assignment of Processing Chains on ROS2 Executors

    Yue Tang;Zhiwei Feng;Nan Guan;Xu Jiang

  • Real-Time Scheduling of Massive Data in Time Sensitive Networks With a Limited Number of Schedule Entries

    Xi Jin;Changqing Xia;Nan Guan;Chi Xu

  • Joint Algorithm of Message Fragmentation and No-Wait Scheduling for Time-Sensitive Networks

    Xi Jin;Changqing Xia;Nan Guan;Peng Zeng

  • Schedulability analysis for non-preemptive fixed-priority multiprocessor scheduling

    Nan Guan;Wang Yi;Qingxu Deng;Zonghua Gu

  • Toward the Predictable Integration of Real-Time COTS Based Systems

    R. Pellizzoni;M. Caccamo

  • Energy-Efficient Real-Time Scheduling of DAG Tasks

    Ashikahmed Bhuiyan;Zhishan Guo;Abusayeed Saifullah;Nan Guan

  • Service Guarantee Exploration for Mixed-Criticality Systems

    Hang Su;Nan Guan;Nan Guan;Dakai Zhu

  • EDF-VD Scheduling of Mixed-Criticality Systems with Degraded Quality Guarantees

    Di Liu;Jelena Spasic;Gang Chen;Nan Guan

Frequent Co-Authors

Wang Yi
Wang Yi Uppsala University
Zonghua Gu
Zonghua Gu Hofstra University
Xue Liu
Xue Liu McGill University
Wenyao Xu
Wenyao Xu University at Buffalo, State University of New York
Shuai Li
Shuai Li University of Oulu
Xiaobo Sharon Hu
Xiaobo Sharon Hu University of Notre Dame
Zili Shao
Zili Shao Chinese University of Hong Kong
Yuming Jiang
Yuming Jiang Norwegian University of Science and Technology
Nikil Dutt
Nikil Dutt University of California, Irvine
Reinhard Wilhelm
Reinhard Wilhelm Saarland 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

Expanding your education in Computer Science opens pathways to a broad range of online degrees and rapidly growing career fields. Many students are now seeking flexible, cost-effective options that can lead to high salaries and quick career advancement.

If affordability is a top priority, you may want to consider what is the cheapest data science course in the US? This can be a smart way to enter the data science field without a significant financial burden. Alternatively, pursuing an online master’s in electrical engineering degree is a good choice for students interested in hardware, robotics, or advanced electronics.

For those looking to boost their career quickly, there are also certifications that pay well, many of which are completed online in a short time. If you’d like to earn an advanced degree in the shortest possible time, check out the shortest online masters degree options available.

Exploring these pathways can help you find the right balance between time, cost, and future earning potential as you build your career in tech.

Best Scientists Citing Nan Guan

Trending Scientists

Recently Published Articles