World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
9432
World Ranking
4397
National Ranking
590

Linqiang Pan 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 Linqiang Pan 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: 228 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Linqiang Pan 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 Linqiang Pan 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: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Linqiang Pan is a researcher affiliated with Huazhong University of Science and Technology in China. Their work spans multiple disciplines, focusing primarily on biochemistry, genetics, and molecular biology, with significant contributions to engineering and computer science.

Their research covers several specialized subfields including molecular biology, electrical and electronic engineering, artificial intelligence, biomedical engineering, and computational theory and mathematics.

Key topics within Linqiang Pan's research include:

  • Advanced biosensing and bioanalysis techniques
  • DNA and Biological Computing
  • Advanced Multi-Objective Optimization Algorithms
  • RNA Interference and Gene Delivery
  • Metaheuristic Optimization Algorithms Research
  • Modular Robots and Swarm Intelligence
  • Evolutionary Algorithms and Applications

Linqiang Pan's publication record includes papers that contribute to these topics, with notable recent works such as:

  • Adaptive simulated binary crossover for rotated multi-objective optimization, 2020, Swarm and Evolutionary Computation
  • P Systems with Active Membranes and Separation Rules, 2020, idUS (Universidad de Sevilla)
  • A Subregion Division-Based Evolutionary Algorithm With Effective Mating Selection for Many-Objective Optimization, 2020, IEEE Transactions on Cybernetics
  • A formal framework for spiking neural P systems, 2020, Journal of Membrane Computing
  • A fast sampling based evolutionary algorithm for million-dimensional multiobjective optimization, 2022, Swarm and Evolutionary Computation

The researcher has frequent collaborations with several coauthors, including Kuiting Chen, Yingxin Hu, Lianghao Li, Cheng He, and Chun Xie.

Linqiang Pan frequently publishes in venues such as:

  • Swarm and Evolutionary Computation
  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • Journal of Membrane Computing
  • International Journal of Neural Systems

In addition to articles, Linqiang Pan has contributed to book publications, particularly with Springer Science+Business Media, where six books have been published under the title Bio-inspired Computing: Theories and Applications between 2020 and 2023.

Best Publications

  • A Classification-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization

    Linqiang Pan;Cheng He;Ye Tian;Handing Wang

  • Asynchronous spiking neural P systems with local synchronization

    Tao Song;Linqiang Pan;Gheorghe Pun

  • Spiking Neural P Systems with Anti-Spikes

    Linqiang Pan;Gheorghe Paun

  • Spiking neural P systems with neuron division and budding

    LinQiang Pan;LinQiang Pan;Gheorghe Păun;Gheorghe Păun;Mario J. Pérez-Jiménez

  • Spiking Neural P Systems with Communication on Request.

    Linqiang Pan;Gheorghe Păun;Gexiang Zhang;Ferrante Neri

  • On the Universality of Axon P Systems

    Xingyi Zhang;Linqiang Pan;Andrei Paun

  • Computational complexity of tissue-like P systems

    Linqiang Pan;Mario J. Pérez-Jiménez

  • Evolutionary membrane computing: A comprehensive survey and new results

    Gexiang Zhang;Marian Gheorghe;Linqiang Pan;Mario J. Pérez-Jiménez

  • Spiking neural p systems with weights

    Jun Wang;Hendrik Jan Hoogeboom;Linqiang Pan;Gheorghe Păun

  • Spiking neural P systems with rules on synapses

    Tao Song;Linqiang Pan;Gheorghe Pun

  • Spiking neural p systems with astrocytes

    Linqiang Pan;Jun Wang;Hendrik Jan Hoogeboom

  • P systems with minimal parallelism

    Gabriel Ciobanu;Linqiang Pan;Gheorghe Pun;Mario J. Pérez-Jiménez

  • Deterministic solutions to QSAT and Q3SAT by spiking neural P systems with pre-computed resources

    Tseren-Onolt Ishdorj;Alberto Leporati;Linqiang Pan;Xiangxiang Zeng

  • Solving a PSPACE-complete problem by recognizing P systems with restricted active membranes

    Artiom Alhazov;Carlos Martín-Vide;Linqiang Pan

  • Spiking Neural P Systems With Polarizations

    Tingfang Wu;Andrei Paun;Zhiqiang Zhang;Linqiang Pan

  • Spiking Neural P Systems With Rules on Synapses Working in Maximum Spiking Strategy

    Tao Song;Linqiang Pan

  • Spiking neural p systems with thresholds

    Xiangxiang Zeng;Xingyi Zhang;Tao Song;Linqiang Pan

  • Tissue-like P systems with evolutional symport/antiport rules

    Bosheng Song;Cheng Zhang;Linqiang Pan

  • Spiking Neural P Systems With Rules on Synapses Working in Maximum Spikes Consumption Strategy

    Tao Song;Linqiang Pan

  • Spiking neural P systems with request rules

    Tao Song;Linqiang Pan

  • Normal Forms of Spiking Neural P Systems With Anti-Spikes

    Tao Song;Linqiang Pan;Jun Wang;I. Venkat

Frequent Co-Authors

Xingyi Zhang
Xingyi Zhang Anhui University
Mario J. Pérez-Jiménez
Mario J. Pérez-Jiménez University of Seville
Xiangxiang Zeng
Xiangxiang Zeng Hunan University
Gexiang Zhang
Gexiang Zhang Chengdu University of Information Technology
Bin Luo
Bin Luo Anhui University
Gheorghe Paun
Gheorghe Paun Romanian Academy
Kay Chen Tan
Kay Chen Tan Hong Kong Polytechnic University
Ferrante Neri
Ferrante Neri University of Nottingham
Yaochu Jin
Yaochu Jin Westlake University
H. Eugene Stanley
H. Eugene Stanley Boston 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

The landscape of computer science education in the USA has expanded beyond traditional classrooms. Today, students can access various online programs that support different interests and career goals. For those seeking a faster route to a degree, a computer science accelerated program offers an intensive curriculum designed to help you graduate and enter the workforce quickly.

Computer science knowledge pairs well with fields such as engineering and physics, unlocking diverse opportunities. For example, an online environmental engineering degree science and engineering equips students to address technological challenges in sustainability. Similarly, pursuing online mechanical engineering degrees helps students develop problem-solving and design skills relevant in tech-driven industries.

Broadening your scientific foundation is also possible with an online physics degree. This option can complement computer science studies, allowing graduates to pursue careers in research, engineering, data science, and beyond. Online learning makes it easier than ever to build a flexible and marketable skill set for today’s digital economy.

Best Scientists Citing Linqiang Pan

Trending Scientists

Recently Published Articles