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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 39 9876 9595 1242 1236 317 5314

Nan Guan publications per year

The chart shows the history of publications by Nan Guan between 2006 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Nan Guan published across 20 years, from 2006 to 2025, averaging 19.5 papers a year. Output peaked at 54 publications in 2025. 97 of the 389 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 2006 to 2025. Vertical axis: number of publications, 0 to 54. Peak 54 publications in 2025. 2006: 1 publication 2007: 6 publications 2008: 8 publications 2009: 6 publications 2010: 5 publications 2011: 10 publications 2012: 3 publications 2013: 6 publications 2014: 20 publications 2015: 13 publications 2016: 25 publications 2017: 22 publications 2018: 17 publications 2019: 31 publications 2020: 26 publications 2021: 25 publications 2022: 29 publications 2023: 39 publications 2024: 43 publications 2025: 54 publications
2006 2025

389 publications in total across all disciplines

View publications per year as a table
Nan Guan: publications per year, 2006 to 2025
Year Publications
2006 1
2007 6
2008 8
2009 6
2010 5
2011 10
2012 3
2013 6
2014 20
2015 13
2016 25
2017 22
2018 17
2019 31
2020 26
2021 25
2022 29
2023 39
2024 43
2025 54
Total 389
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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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 312–321 publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238 317
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
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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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 38–39 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968 39
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
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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

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