World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
12194
World Ranking
5279
National Ranking
711

Overview

Jun Sun is affiliated with Jiangnan University in China and has contributed extensively to the fields of Computer Science and Engineering. Their research encompasses multiple subfields, including Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology, Computational Theory and Mathematics, and Molecular Biology.

The research topics Jun Sun has focused on include:

  • Metaheuristic Optimization Algorithms Research
  • Computational Drug Discovery Methods
  • Remote-Sensing Image Classification
  • Advanced Multi-Objective Optimization Algorithms
  • Video Surveillance and Tracking Methods
  • Advanced Image Fusion Techniques
  • Remote Sensing and LiDAR Applications

Jun Sun's publication record includes papers in various reputable venues. Frequent publication venues are:

  • Applied Sciences
  • Applied Intelligence
  • Automation in Construction
  • IEEE Transactions on Knowledge and Data Engineering
  • Mathematical Problems in Engineering

Some recent papers authored or coauthored by Jun Sun are:

  • "Hazard analysis: A deep learning and text mining framework for accident prevention" (2020), published in Advanced Engineering Informatics
  • "Brain Tumor Classification Using a Combination of Variational Autoencoders and Generative Adversarial Networks" (2022), published in Biomedicines
  • "A Truncated Matrix Decomposition for Hyperspectral Image Super-Resolution" (2020), published in IEEE Transactions on Image Processing
  • "Rapid safety monitoring and analysis of foundation pit construction using unmanned aerial vehicle images" (2021), published in Automation in Construction
  • "Building displacement measurement and analysis based on UAV images" (2022), published in Automation in Construction

Jun Sun has collaborated frequently with other researchers, including:

  • Vasile Palade
  • Chao Li
  • Xiao-Jun Wu
  • Wei Fang
  • Hengyang Lu

Best Publications

  • Particle swarm optimization with particles having quantum behavior

    Jun Sun;Bin Feng;Wenbo Xu

  • A global search strategy of quantum-behaved particle swarm optimization

    Jun Sun;Wenbo Xu;Bin Feng

  • Critical success factors of green innovation: Technology, organization and environment readiness

    Yali Zhang;Jun Sun;Zhaojun Yang;Ying Wang

  • Quantum-behaved particle swarm optimization: Analysis of individual particle behavior and parameter selection

    Jun Sun;Wei Fang;Xiaojun Wu;Vasile Palade

  • Adaptive parameter control for quantum-behaved particle swarm optimization on individual level

    Jun Sun;Wenbo Xu;Bin Feng

  • An improved quantum-behaved particle swarm optimization algorithm with weighted mean best position

    Maolong Xi;Maolong Xi;Jun Sun;Wenbo Xu

  • Understanding SaaS adoption from the perspective of organizational users

    Zhaojun Yang;Jun Sun;Yali Zhang;Ying Wang

  • Convergence analysis and improvements of quantum-behaved particle swarm optimization

    Jun Sun;Xiaojun Wu;Vasile Palade;Wei Fang

  • Multilevel Thresholding for Image Segmentation Through an Improved Quantum-Behaved Particle Swarm Algorithm

    Hao Gao;Wenbo Xu;Jun Sun;Yulan Tang

  • Quantum-behaved particle swarm optimization with Gaussian distributed local attractor point

    Jun Sun;Wei Fang;Vasile Palade;Xiaojun Wu

  • Solving the Power Economic Dispatch Problem With Generator Constraints by Random Drift Particle Swarm Optimization

    Jun Sun;Vasile Palade;Xiao-Jun Wu;Wei Fang

  • An Effective Method of Weld Defect Detection and Classification Based on Machine Vision

    Jun Sun;Chao Li;Xiao-Jun Wu;Vasile Palade

  • Particle Swarm Optimisation: Classical and Quantum Perspectives

    Jun Sun;Choi-Hong Lai;Xiao-Jun Wu

  • A Review of Quantum-behaved Particle Swarm Optimization

    Wei Fang;Jun Sun;Yanrui Ding;Xiaojun Wu

  • E-Textbooks and Students’ Learning Experiences

    Jun Sun;Javier Flores;Jesus Tanguma

  • Quantum-behaved particle swarm optimization with mutation operator

    Jing Liu;Wenbo Xu;Jun Sun

  • Hazard analysis: A deep learning and text mining framework for accident prevention

    Botao Zhong;Xing Pan;Peter E.D. Love;Jun Sun

  • Parameter selection of quantum-behaved particle swarm optimization

    Jun Sun;Wenbo Xu;Jing Liu

  • Optimization and scale-up of propionic acid production by propionic acid-tolerant Propionibacterium acidipropionici with glycerol as the carbon source.

    Yunfeng Zhu;Jianghua Li;Ming Tan;Long Liu

  • Why do people patronize donation-based crowdfunding platforms? An activity perspective of critical success factors

    Yali Zhang;Chrissie Diane Tan;Jun Sun;Zhaojun Yang

  • Gene expression data analysis with the clustering method based on an improved quantum-behaved Particle Swarm Optimization

    Jun Sun;Wei Chen;Wei Fang;Xiaojun Wun

Frequent Co-Authors

Xiaojun Wu
Xiaojun Wu University of Science and Technology of China
Vasile Palade
Vasile Palade Coventry University
Guocheng Du
Guocheng Du Jiangnan University
Marshall Scott Poole
Marshall Scott Poole University of Illinois at Urbana-Champaign
Yucheng Wu
Yucheng Wu Hefei University of Technology
Dabing Zhang
Dabing Zhang Shanghai Jiao Tong University
Liangzhong Yao
Liangzhong Yao Wuhan University
José A. Pagán
José A. Pagán New York University
Liang Zuo
Liang Zuo Northeastern University
Yuhui Shi
Yuhui Shi Southern University of Science and Technology

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