World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
12738
World Ranking
2954
National Ranking
403

NaiQi Wu 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 NaiQi Wu 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: 345 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

NaiQi Wu 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 NaiQi Wu 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: 62 D-Index — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2019 - IEEE Fellow For contributions to discrete-event production systems

Overview

NaiQi Wu is affiliated with Macau University of Science and Technology in China. Their research spans the fields of Engineering and Computer Science, focusing on several specialized subfields and topics within these disciplines.

Their work is concentrated in subfields including Industrial and Manufacturing Engineering, Computational Theory and Mathematics, Computer Networks and Communications, Computer Vision and Pattern Recognition, and Artificial Intelligence.

The main topics of research addressed by NaiQi Wu include:

  • Petri Nets in System Modeling
  • Scheduling and Optimization Algorithms
  • Flexible and Reconfigurable Manufacturing Systems
  • Advanced Manufacturing and Logistics Optimization
  • Manufacturing Process and Optimization
  • Formal Methods in Verification
  • Distributed systems and fault tolerance

NaiQi Wu has been published in a variety of venues with a notable presence in:

  • IEEE Transactions on Systems Man and Cybernetics Systems
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Access
  • IEEE/CAA Journal of Automatica Sinica
  • IEEE Transactions on Automation Science and Engineering

Their recent papers illustrate a focus on control systems, cyber-physical systems security, environmental impacts, and digital production logistics:

  • Consensus Control of Leader-Following Multi-Agent Systems in Directed Topology With Heterogeneous Disturbances (2021, IEEE/CAA Journal of Automatica Sinica)
  • Repercussions of COVID-19 pandemic on solid waste generation and management strategies (2021, Frontiers of Environmental Science & Engineering)
  • A Survey on Cyber-Physical Systems Security (2023, IEEE Internet of Things Journal)
  • Group consensus via pinning control for a class of heterogeneous multi-agent systems with input constraints (2020, Information Sciences)
  • Digital Twin Based Real-time Production Logistics Synchronization System in a Multi-level Computing Architecture (2020, Journal of Manufacturing Systems)

Collaborations are an important part of NaiQi Wu's research, with frequent coauthors including:

  • Zhiwu Li
  • Yan Qiao
  • Shaohua Teng
  • Kaizhou Gao
  • Yisheng An

Their contributions to the field have been recognized with the award of IEEE Fellow in 2019, citing their work on discrete-event production systems.

Best Publications

  • Deadlock Control of Automated Manufacturing Systems Based on Petri Nets—A Literature Review

    ZhiWu Li;NaiQi Wu;MengChu Zhou

  • A Survey and Comparison of Petri Net-Based Deadlock Prevention Policies for Flexible Manufacturing Systems

    Zhi Wu Li;Meng Chu Zhou;Nai Qi Wu

  • System Modeling and Control with Resource-Oriented Petri Nets

    MengChu Zhou;Naiqi Wu

  • Necessary and sufficient conditions for deadlock-free operation in flexible manufacturing systems using a colored Petri net model

    Naiqi Wu

  • A Petri Net Method for Schedulability and Scheduling Problems in Single-Arm Cluster Tools With Wafer Residency Time Constraints

    Naiqi Wu;Chengbin Chu;Feng Chu;Meng Chu Zhou

  • Avoiding deadlock and reducing starvation and blocking in automated manufacturing systems

    N. Wu;MengChu Zhou

  • Pareto-Optimization for Scheduling of Crude Oil Operations in Refinery via Genetic Algorithm

    Yan Hou;NaiQi Wu;MengChu Zhou;ZhiWu Li

  • Resource-Oriented Petri Net for Deadlock Avoidance in Flexible Assembly Systems

    Naiqi Wu;MengChu Zhou;ZhiWu Li

  • Modeling, Analysis and Control of Dual-Arm Cluster Tools With Residency Time Constraint and Activity Time Variation Based on Petri Nets

    Nai Qi Wu;MengChu Zhou

  • Selection of partners in virtual enterprise paradigm

    Naiqi Wu;Ping Su

  • Schedulability Analysis and Optimal Scheduling of Dual-Arm Cluster Tools With Residency Time Constraint and Activity Time Variation

    NaiQi Wu;MengChu Zhou

  • Petri Net Modeling and Cycle-Time Analysis of Dual-Arm Cluster Tools With Wafer Revisiting

    NaiQi Wu;Feng Chu;Chengbin Chu;MengChu Zhou

  • Modeling and deadlock avoidance of automated manufacturing systems with multiple automated guided vehicles

    Naiqi Wu;MengChu Zhou

  • Petri Net-Based Scheduling of Single-Arm Cluster Tools With Reentrant Atomic Layer Deposition Processes

    NaiQi Wu;Feng Chu;Chengbin Chu;MengChu Zhou

  • A Closed-Form Solution for Schedulability and Optimal Scheduling of Dual-Arm Cluster Tools With Wafer Residency Time Constraint Based on Steady Schedule Analysis

    NaiQi Wu;MengChu Zhou

  • Modeling and deadlock control of automated guided vehicle systems

    Naiqi Wu;MengChu Zhou

  • Short-Term Scheduling of Crude-Oil Operations: Enhancement of Crude-Oil Operations Scheduling Using a Petri Net-Based Control-Theoretic Approach

    NaiQi Wu;MengChu Zhou;ZhiWu Li

  • Consensus Control of Leader-Following Multi-Agent Systems in Directed Topology With Heterogeneous Disturbances

    Qinglai Wei;Xin Wang;Xiangnan Zhong;Naiqi Wu

  • Deadlock Resolution in Automated Manufacturing Systems With Robots

    Naiqi Wu;MengChu Zhou

  • Optimal One-Wafer Cyclic Scheduling and Buffer Space Configuration for Single-Arm Multicluster Tools With Linear Topology

    Liping Bai;Naiqi Wu;Zhiwu Li;MengChu Zhou

  • Shortest Routing of Bidirectional Automated Guided Vehicles Avoiding Deadlock and Blocking

    NaiQi Wu;MengChu Zhou

Frequent Co-Authors

MengChu Zhou
MengChu Zhou New Jersey Institute of Technology
Zhiwu Li
Zhiwu Li Macau University of Science and Technology
Feng Chu
Feng Chu University of Évry Val d'Essonne
Chengbin Chu
Chengbin Chu École Supérieure d'Ingénieurs en Électrotechnique et Électronique
Abdulrahman Al-Ahmari
Abdulrahman Al-Ahmari King Saud University
Rong Su
Rong Su Nanyang Technological University
Kaizhou Gao
Kaizhou Gao Macau University of Science and Technology
Qinghua Zhu
Qinghua Zhu Shanghai Jiao Tong University
Haibin Zhu
Haibin Zhu Nipissing University
George Q. Huang
George Q. Huang Hong Kong Polytechnic University

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