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Computer Science

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

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

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