World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
8556
World Ranking
7187
National Ranking
951

Overview

Zhongzhi Shi is affiliated with the Chinese Academy of Sciences in China. Their research spans multiple fields including Computer Science, Neuroscience, and Engineering, with a focus on subfields such as Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, and Cellular and Molecular Neuroscience.

Their work addresses several main topics:

  • Multimodal Machine Learning Applications
  • Advanced Memory and Neural Computing
  • Neural Networks and Applications
  • Neural dynamics and brain function
  • Metaheuristic Optimization Algorithms Research
  • Computability, Logic, AI Algorithms
  • AI-based Problem Solving and Planning

Zhongzhi Shi's recent papers include:

  • Integrating Scene Semantic Knowledge into Image Captioning, 2021, ACM Transactions on Multimedia Computing Communications and Applications
  • Multiagent Reinforcement Learning With Heterogeneous Graph Attention Network, 2022, IEEE Transactions on Neural Networks and Learning Systems
  • On rule acquisition methods for data classification in heterogeneous incomplete decision systems, 2020, Knowledge-Based Systems
  • Hybrid particle swarm optimization with adaptive learning strategy, 2024, Soft Computing
  • Multi-Objective Aerodynamic Optimization of a High-Speed Train Head Shape Based on an Optimal Kriging Model, 2022, Journal of Applied Fluid Mechanics

Their frequent coauthors have included:

  • D. Tian
  • Haiyang Wei
  • Zhixin Li
  • Feicheng Huang
  • Canlong Zhang

Their work has been published in several journals and venues such as:

  • ACM Transactions on Multimedia Computing Communications and Applications
  • IEEE Transactions on Neural Networks and Learning Systems
  • Knowledge-Based Systems
  • Soft Computing
  • Journal of Applied Fluid Mechanics

Zhongzhi Shi has also contributed to academic books, primarily published by Springer Science+Business Media and World Scientific. Their books include:

  • Intelligence Science III (2021)
  • Intelligent Information Processing X (2020)
  • Intelligent Information Processing XI (2022)
  • Intelligence Science IV (2022)
  • Intelligent Information Processing XII (2024)
  • Intelligence Science V (2024)
  • Advanced Artificial Intelligence (2024)

Best Publications

  • THE INFORMATION ENTROPY, ROUGH ENTROPY AND KNOWLEDGE GRANULATION IN ROUGH SET THEORY

    Jiye Liang;Jiye Liang;Zhongzhi Shi

  • Information entropy, rough entropy and knowledge granulation in incomplete information systems

    Jiye Liang;Z. Shi;Deyu Li;Mark J. Wierman

  • Parallel Implementation of Apriori Algorithm Based on MapReduce

    Ning Li;Li Zeng;Qing He;Zhongzhi Shi

  • A fast approach to attribute reduction in incomplete decision systems with tolerance relation-based rough sets

    Zuqiang Meng;Zhongzhi Shi

  • Pessimistic rough set based decisions: A multigranulation fusion strategy

    Yuhua Qian;Shunyong Li;Jiye Liang;Zhongzhi Shi

  • Parallel extreme learning machine for regression based on MapReduce

    Qing He;Tianfeng Shang;Fuzhen Zhuang;Zhongzhi Shi

  • Integrating knowledge management and ERP in enterprise information systems

    Lida Xu;Chengen Wang;Xiaochuan Luo;Zhongzhi Shi

  • Extreme support vector machine classifier

    Qiuge Liu;Qing He;Zhongzhi Shi

  • Exploiting associations between word clusters and document classes for cross-domain text categorization

    Fuzhen Zhuang;Ping Luo;Hui Xiong;Qing He

  • FORMANAGER: an office forms management system

    S. Bing Yao;Alan R. Hevner;Zhongzhi Shi;Dawei Luo

  • Learning deep representations via extreme learning machines

    Wenchao Yu;Fuzhen Zhuang;Qing He;Zhongzhi Shi

  • An improved density peaks clustering algorithm with fast finding cluster centers

    Xiao Xu;Shifei Ding;Shifei Ding;Zhongzhi Shi

  • Distributed data mining: a survey

    Li Zeng;Ling Li;Lian Duan;Lian Duan;Kevin Lu

  • The Semantic Web – ASWC 2006

    Riichiro Mizoguchi;Zhongzhi Shi;Fausto Giunchiglia

  • Clustering in extreme learning machine feature space

    Qing He;Xin Jin;Changying Du;Fuzhen Zhuang

  • Energy model for rumor propagation on social networks

    Shuo Han;Fuzhen Zhuang;Qing He;Zhongzhi Shi

  • Chaotic particle swarm optimization with sigmoid-based acceleration coefficients for numerical function optimization

    Dongping Tian;Xiaofei Zhao;Zhongzhi Shi

  • Techniques, Process, and Enterprise Solutions of Business Intelligence

    Li Zeng;Lida Xu;Zhongzhi Shi;Maoguang Wang

  • Advanced Artificial Intelligence

    Unknown

  • Distributed classification in peer-to-peer networks

    Ping Luo;Hui Xiong;Kevin Lü;Zhongzhi Shi

  • Unsupervised extreme learning machine with representational features

    Shifei Ding;Shifei Ding;Nan Zhang;Nan Zhang;Jian Zhang;Jian Zhang;Xinzheng Xu;Xinzheng Xu

  • Flood decision support system on agent grid: method and implementation

    J. Luo;L. Xu;J. P. Jamont;L. Zeng

  • MSMiner-a developing platform for OLAP

    Zhongzhi Shi;Youping Huang;Qing He;Lida Xu

Frequent Co-Authors

Qing He
Qing He University of Chinese Academy of Sciences
Fuzhen Zhuang
Fuzhen Zhuang Beihang University
Shifei Ding
Shifei Ding China University of Mining and Technology
Hui Xiong
Hui Xiong Rutgers, The State University of New Jersey
Li Da Xu
Li Da Xu Old Dominion University
Chuan Shi
Chuan Shi Beijing University of Posts and Telecommunications
Jiye Liang
Jiye Liang Shanxi University
Zhihua Cui
Zhihua Cui Taiyuan University of Science and Technology
David B. Leake
David B. Leake Indiana University
Fausto Giunchiglia
Fausto Giunchiglia University of Trento

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