World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
9529
World Ranking
6795
National Ranking
911

Overview

Shifei Ding is affiliated with the China University of Mining and Technology in China. Their primary area of research lies in computer science, with a focus on artificial intelligence and its various subfields.

The scientist's work spans multiple specialized areas, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Statistical and Nonlinear Physics
  • Control and Systems Engineering
  • Media Technology

The main research topics covered in their publications include:

  • Face and Expression Recognition
  • Advanced Clustering Algorithms Research
  • Complex Network Analysis Techniques
  • Machine Learning and Extreme Learning Machines (ELM)
  • Advanced Graph Neural Networks
  • Neural Networks and Applications
  • Reinforcement Learning in Robotics

They have authored papers in a range of journals and conferences with recurring publication venues such as:

  • International Journal of Machine Learning and Cybernetics
  • Information Sciences
  • Applied Intelligence
  • Soft Computing
  • Pattern Recognition

Selected recent publications include:

  • A stochastic configuration network based on chaotic sparrow search algorithm, 2021, Knowledge-Based Systems
  • A survey on multi-agent deep reinforcement learning: from the perspective of challenges and applications, 2020, Artificial Intelligence Review
  • An improved grid search algorithm to optimize SVR for prediction, 2021, Soft Computing
  • A support vector regression model hybridized with chaotic krill herd algorithm and empirical mode decomposition for regression task, 2020, Neurocomputing
  • Survey of spectral clustering based on graph theory, 2024, Pattern Recognition

Frequent collaborators in their research work include:

  • Ling Ding
  • Lili Guo
  • Chenglong Zhang
  • Haiwei Hou
  • Xiao Xu

In addition to journal articles, Shifei Ding has contributed to academic books, including a publication by World Scientific titled Advanced Randomized Neural Networks for Pattern Analysis, scheduled for 2025.

Best Publications

  • An optimizing BP neural network algorithm based on genetic algorithm

    Shifei Ding;Chunyang Su;Junzhao Yu

  • Extreme learning machine: algorithm, theory and applications

    Shifei Ding;Han Zhao;Yanan Zhang;Xinzheng Xu

  • Study on density peaks clustering based on k-nearest neighbors and principal component analysis

    Mingjing Du;Shifei Ding;Hongjie Jia

  • Evolutionary artificial neural networks: a review

    Shifei Ding;Hui Li;Chunyang Su;Junzhao Yu

  • Extreme learning machine and its applications

    Shifei Ding;Xinzheng Xu;Ru Nie

  • A stochastic configuration network based on chaotic sparrow search algorithm

    Chenglong Zhang;Shifei Ding;Shifei Ding

  • The latest research progress on spectral clustering

    Hongjie Jia;Shifei Ding;Xinzheng Xu;Ru Nie

  • An overview on Restricted Boltzmann Machines

    Nan Zhang;Shifei Ding;Jian Zhang;Yu Xue

  • A survey on multi-agent deep reinforcement learning: from the perspective of challenges and applications

    Wei Du;Shifei Ding;Shifei Ding

  • An improved grid search algorithm to optimize SVR for prediction

    Yuting Sun;Shifei Ding;Shifei Ding;Zichen Zhang;Weikuan Jia

  • Deep Extreme Learning Machine and Its Application in EEG Classification

    Shifei Ding;Shifei Ding;Nan Zhang;Nan Zhang;Xinzheng Xu;Xinzheng Xu;Lili Guo;Lili Guo

  • An overview on semi-supervised support vector machine

    Shifei Ding;Zhibin Zhu;Xiekai Zhang

  • A hybrid optimization algorithm based on cuckoo search and differential evolution for solving constrained engineering problems

    Zichen Zhang;Zichen Zhang;Shifei Ding;Shifei Ding;Weikuan Jia

  • A survey on feature extraction for pattern recognition

    Shifei Ding;Hong Zhu;Weikuan Jia;Chunyang Su

  • An overview on twin support vector machines

    Shifei Ding;Junzhao Yu;Bingjuan Qi;Huajuan Huang

  • A support vector regression model hybridized with chaotic krill herd algorithm and empirical mode decomposition for regression task

    Zichen Zhang;Shifei Ding;Shifei Ding;Yuting Sun

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

    Xiao Xu;Shifei Ding;Shifei Ding;Zhongzhi Shi

  • Twin support vector machine: theory, algorithm and applications

    Shifei Ding;Nan Zhang;Xiekai Zhang;Fulin Wu

  • An optimized classification algorithm by BP neural network based on PLS and HCA

    Weikuan Jia;Dean Zhao;Tian Shen;Shifei Ding

  • Research on data stream clustering algorithms

    Shifei Ding;Fulin Wu;Jun Qian;Hongjie Jia

  • Unsupervised extreme learning machine with representational features

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

Frequent Co-Authors

Yu Xue
Yu Xue Nanjing University of Information Science and Technology
Zhongzhi Shi
Zhongzhi Shi Chinese Academy of Sciences
Qing He
Qing He University of Chinese Academy of Sciences

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