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Computer Science

D-Index
37
Citations
6238
World Ranking
10702
National Ranking
1315

Overview

Gexiang Zhang is affiliated with Chengdu University of Information Technology in China. The scientist's research focuses extensively on computational models inspired by biological neural systems and their applications across various engineering and computer science domains.

The recent publications of the scientist include the following papers:

  • An Adaptive Optimization Spiking Neural P System for Binary Problems, 2020, International Journal of Neural Systems
  • A Complete Arithmetic Calculator Constructed from Spiking Neural P Systems and its Application to Information Fusion, 2020, International Journal of Neural Systems
  • A Layered Spiking Neural System for Classification Problems, 2022, International Journal of Neural Systems

Gexiang Zhang frequently collaborates with several coauthors. The main collaborators are:

  • Haina Rong
  • Jianping Dong
  • Ferrante Neri
  • Prithwineel Paul
  • Dequan Guo

The primary venues where this scientist publishes work are:

  • Journal of Membrane Computing
  • International Journal of Neural Systems
  • Natural Computing
  • Applied Sciences
  • Integrated Computer-Aided Engineering

Their research spans multiple fields within both engineering and biological sciences, with emphasis on:

  • Engineering
  • Biochemistry, Genetics and Molecular Biology
  • Computer Science

Within these fields, subfields include:

  • Molecular Biology
  • Mechanical Engineering
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition
  • Health, Toxicology and Mutagenesis

The principal topics addressed in Gexiang Zhang's research are:

  • DNA and Biological Computing
  • Advanced biosensing and bioanalysis techniques
  • Modular Robots and Swarm Intelligence
  • Advanced Memory and Neural Computing
  • Cellular Automata and Applications
  • Underwater Vehicles and Communication Systems
  • Heavy metals in environment

Best Publications

  • An optimization spiking neural p system for approximately solving combinatorial optimization problems.

    Gexiang Zhang;Haina Rong;Ferrante Neri;Mario J Pérez-Jiménez

  • Quantum-inspired evolutionary algorithms: a survey and empirical study

    Gexiang Zhang

  • Fault Diagnosis of Electric Power Systems Based on Fuzzy Reasoning Spiking Neural P Systems

    Tao Wang;Gexiang Zhang;Junbo Zhao;Zhengyou He

  • Cloud-Assisted Secure eHealth Systems for Tamper-Proofing EHR via Blockchain

    Sheng Cao;Gexiang Zhang;Pengfei Liu;Xiaosong Zhang

  • Real-life Applications with Membrane Computing

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

  • Short-Term State Forecasting-Aided Method for Detection of Smart Grid General False Data Injection Attacks

    Junbo Zhao;Gexiang Zhang;Massimo La Scala;Zhao Yang Dong

  • Power System Real-Time Monitoring by Using PMU-Based Robust State Estimation Method

    Junbo Zhao;Gexiang Zhang;Kaushik Das;George N. Korres

  • A hybrid approach based on differential evolution and tissue membrane systems for solving constrained manufacturing parameter optimization problems

    Gexiang Zhang;Jixiang Cheng;Marian Gheorghe;Qi Meng

  • Spiking Neural P Systems with Communication on Request.

    Linqiang Pan;Gheorghe Păun;Gexiang Zhang;Ferrante Neri

  • Evolutionary membrane computing: A comprehensive survey and new results

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

  • A Quantum-Inspired Evolutionary Algorithm Based on P systems for Knapsack Problem

    Ge-Xiang Zhang;Marian Gheorghe;Chao-Zhong Wu

  • A Many-Objective Evolutionary Algorithm With Enhanced Mating and Environmental Selections

    Jixiang Cheng;Gary G. Yen;Gexiang Zhang

  • Design and implementation of membrane controllers for trajectory tracking of nonholonomic wheeled mobile robots

    Xueyuan Wang;Xueyuan Wang;Gexiang Zhang;Ferrante Neri;Ferrante Neri;Tao Jiang

  • Forecasting-Aided Imperfect False Data Injection Attacks Against Power System Nonlinear State Estimation

    Junbo Zhao;Gexiang Zhang;Zhao Yang Dong;Kit Po Wong

  • An Adaptive Optimization Spiking Neural P System for Binary Problems.

    Ming Zhu;Qiang Yang;Jianping Dong;Gexiang Zhang

  • Enhancing distributed differential evolution with multicultural migration for global numerical optimization

    Jixiang Cheng;Gexiang Zhang;Ferrante Neri;Ferrante Neri

  • A Complete Arithmetic Calculator Constructed from Spiking Neural P Systems and its Application to Information Fusion

    Gexiang Zhang;Haina Rong;Prithwineel Paul;Yangyang He

  • Robust Forecasting Aided Power System State Estimation Considering State Correlations

    Junbo Zhao;Gexiang Zhang;Zhao Yang Dong;Massimo La Scala

  • A membrane algorithm with quantum-inspired subalgorithms and its application to image processing

    Gexiang Zhang;Marian Gheorghe;Yuquan Li

  • Multicriteria adaptive differential evolution for global numerical optimization

    Jixiang Cheng;Gexiang Zhang;Fabio Caraffini;Ferrante Neri

  • A grid-based adaptive multi-objective differential evolution algorithm

    Jixiang Cheng;Gary G. Yen;Gexiang Zhang

Frequent Co-Authors

Mario J. Pérez-Jiménez
Mario J. Pérez-Jiménez University of Seville
Ferrante Neri
Ferrante Neri University of Nottingham
Junbo Zhao
Junbo Zhao University of Connecticut
Linqiang Pan
Linqiang Pan Huazhong University of Science and Technology
Gheorghe Paun
Gheorghe Paun Romanian Academy
Gary G. Yen
Gary G. Yen Oklahoma State University
Zhao Yang Dong
Zhao Yang Dong City University of Hong Kong
Chen Chen
Chen Chen Xi'an Jiaotong University
Zhaoyu Wang
Zhaoyu Wang Iowa State University
Hong Peng
Hong Peng Xihua University

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