World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
57
Citations
8770
World Ranking
3920
National Ranking
524

Junqing Li 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 Junqing Li 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: 180 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Junqing Li 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 Junqing Li 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: 57 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Overview

Junqing Li is affiliated with Liaocheng University in China and specializes in Engineering, with a particular focus on Industrial and Manufacturing Engineering. Their research contributions extend into related subfields including Control and Systems Engineering, Computer Networks and Communications, Building and Construction, and Biomedical Engineering.

Their work primarily targets areas such as Scheduling and Optimization Algorithms, Advanced Manufacturing and Logistics Optimization, and Advanced Control Systems Optimization. Additional topics of study include Assembly Line Balancing Optimization, Manufacturing Process and Optimization, Optimization and Search Problems, and Elevator Systems and Control.

Selected recent papers authored or coauthored by Junqing Li include:

  • Improved Artificial Immune System Algorithm for Type-2 Fuzzy Flexible Job Shop Scheduling Problem, 2020, IEEE Transactions on Fuzzy Systems
  • A Hybrid Iterated Greedy Algorithm for a Crane Transportation Flexible Job Shop Problem, 2021, IEEE Transactions on Automation Science and Engineering

Other notable related publications in the field, including collaborations, feature works such as:

  • Knowledge-Based Reinforcement Learning and Estimation of Distribution Algorithm for Flexible Job Shop Scheduling Problem, 2022, IEEE Transactions on Emerging Topics in Computational Intelligence
  • A Reinforcement Learning Approach for Flexible Job Shop Scheduling Problem With Crane Transportation and Setup Times, 2022, IEEE Transactions on Neural Networks and Learning Systems
  • A Machine Learning Approach for Energy-Efficient Intelligent Transportation Scheduling Problem in a Real-World Dynamic Circumstances, 2022, IEEE Transactions on Intelligent Transportation Systems

They frequently publish in several venues, including:

  • Computers & Industrial Engineering
  • IEEE Transactions on Automation Science and Engineering
  • Knowledge-Based Systems
  • SSRN Electronic Journal
  • IEEE Transactions on Emerging Topics in Computational Intelligence

Junqing Li has collaborated extensively with other researchers, frequently coauthoring papers with Peiyong Duan, Kaizhou Gao, Yu Du, Yuyan Han, and Xiaolong Chen.

Best Publications

  • An effective hybrid tabu search algorithm for multi-objective flexible job-shop scheduling problems

    Jun-qing Li;Quan-ke Pan;Yun-Chia Liang

  • A discrete artificial bee colony algorithm for the multi-objective flexible job-shop scheduling problem with maintenance activities

    Jun-Qing Li;Jun-Qing Li;Quan-Ke Pan;Quan-Ke Pan;M. Fatih Tasgetiren

  • Pareto-based discrete artificial bee colony algorithm for multi-objective flexible job shop scheduling problems

    Jun-Qing Li;Quan-Ke Pan;Quan-Ke Pan;Kai-Zhou Gao

  • Efficient multi-objective optimization algorithm for hybrid flow shop scheduling problems with setup energy consumptions

    Jun-qing Li;Jun-qing Li;Jun-qing Li;Hong-yan Sang;Yu-yan Han;Cun-gang Wang

  • A novel discrete artificial bee colony algorithm for the hybrid flowshop scheduling problem with makespan minimisation

    Quan-Ke Pan;Quan-Ke Pan;Ling Wang;Jun-Qing Li;Jun-Qing Li;Jun-Hua Duan;Jun-Hua Duan

  • A hybrid tabu search algorithm with an efficient neighborhood structure for the flexible job shop scheduling problem.

    Jun-Qing Li;Quan-Ke Pan;P. N. Suganthan;T. J. Chua

  • Knowledge-Based Reinforcement Learning and Estimation of Distribution Algorithm for Flexible Job Shop Scheduling Problem

    Unknown

  • Hybrid Artificial Bee Colony Algorithm for a Parallel Batching Distributed Flow-Shop Problem With Deteriorating Jobs

    Jun-Qing Li;Mei-Xian Song;Ling Wang;Pei-Yong Duan

  • An effective shuffled frog-leaping algorithm for multi-objective flexible job shop scheduling problems

    Junqing Li;Quanke Pan;Quanke Pan;Quanke Pan;Shengxian Xie

  • Multiple Lyapunov Functions for Adaptive Neural Tracking Control of Switched Nonlinear Nonlower-Triangular Systems

    Ben Niu;Yanjun Liu;Wanlu Zhou;Haitao Li

  • Solving the large-scale hybrid flow shop scheduling problem with limited buffers by a hybrid artificial bee colony algorithm

    Jun-qing Li;Quan-ke Pan

  • A Hybrid Iterated Greedy Algorithm for a Crane Transportation Flexible Job Shop Problem

    Jun-Qing Li;Yu Du;Kai-Zhou Gao;Pei-Yong Duan

  • Improved Artificial Immune System Algorithm for Type-2 Fuzzy Flexible Job Shop Scheduling Problem

    Jun-qing Li;Zheng-min Liu;Chengdong Li;Zhi-xin Zheng

  • Effective invasive weed optimization algorithms for distributed assembly permutation flowshop problem with total flowtime criterion

    Hong-Yan Sang;Quan-Ke Pan;Jun-Qing Li;Ping Wang

  • Adaptive Neural-Network-Based Dynamic Surface Control for Stochastic Interconnected Nonlinear Nonstrict-Feedback Systems With Dead Zone

    Ben Niu;Huan Li;Zhengqiang Zhang;Junqing Li

  • A hybrid estimation of distribution algorithm for distributed flexible job shop scheduling with crane transportations

    Yu Du;Jun-qing Li;Jun-qing Li;Chao Luo;Lei-lei Meng

  • A discrete teaching-learning-based optimisation algorithm for realistic flowshop rescheduling problems

    Jun-qing Li;Jun-qing Li;Quan-ke Pan;Kun Mao

  • An Improved Artificial Bee Colony Algorithm for Solving Hybrid Flexible Flowshop With Dynamic Operation Skipping

    Jun-qing Li;Quan-ke Pan;Pei-yong Duan

  • Interval Multiobjective Optimization With Memetic Algorithms

    Jing Sun;Zhuang Miao;Dunwei Gong;Xiao-Jun Zeng

  • An effective modified migrating birds optimization for hybrid flowshop scheduling problem with lot streaming

    Biao Zhang;Quan-ke Pan;Liang Gao;Xin-li Zhang

  • A Hybrid Fruit Fly Optimization Algorithm for the Realistic Hybrid Flowshop Rescheduling Problem in Steelmaking Systems

    Jun-Qing Li;Quan-Ke Pan;Kun Mao

  • Solving the steelmaking casting problem using an effective fruit fly optimisation algorithm

    Jun-qing Li;Quan-ke Pan;Kun Mao

  • Discrete harmony search algorithm for the no-wait flow shop scheduling problem with total flow time criterion

    Kai-zhou Gao;Quan-ke Pan;Jun-qing Li

  • Chemical-reaction optimization for flexible job-shop scheduling problems with maintenance activity

    Jun-Qing Li;Quan-Ke Pan

Frequent Co-Authors

Quan-Ke Pan
Quan-Ke Pan Shanghai University
Kaizhou Gao
Kaizhou Gao Macau University of Science and Technology
Jing Liang
Jing Liang Zhengzhou University
Ling Wang
Ling Wang Tsinghua University
Liang Gao
Liang Gao Huazhong University of Science and Technology
Dunwei Gong
Dunwei Gong Qingdao University of Science and Technology
Chaoyong Zhang
Chaoyong Zhang Huazhong University of Science and Technology
Zhengqiang Zhang
Zhengqiang Zhang Qufu Normal University
Gai-Ge Wang
Gai-Ge Wang Ocean University of China

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