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Shitong Wang

Shitong Wang

D-Index & Metrics

Computer Science

D-Index
52
Citations
9215
World Ranking
5145
National Ranking
700

Overview

Shitong Wang is affiliated with Jiangnan University in China and has contributed to research across multiple fields, with a primary focus on computer science and molecular biology. Their academic output includes a range of publications examining different scientific and technological topics.

The scientist's research includes notable papers such as:

  • Tea polyphenols and their chemopreventive and therapeutic effects on colorectal cancer, 2020, World Journal of Gastroenterology

While their work intersects with others in related fields, co-authors frequently collaborating with Shitong Wang include Kup-Sze Choi, Zhaohong Deng, Fu-Lai Chung, Qiongdan Lou, and Zekang Bian.

Shitong Wang publishes regularly in several venues, especially those oriented toward systems and computational intelligence. Frequent publication venues comprise:

  • IEEE Transactions on Fuzzy Systems
  • arXiv (Cornell University)
  • Information Sciences
  • Knowledge-Based Systems
  • IEEE Transactions on Systems Man and Cybernetics Systems

Their main field of study is Computer Science, with a substantial volume of work contributing to specialized subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Urban Studies, and Radiology, Nuclear Medicine, and Imaging.

Key topics within their research focus include:

  • Face and Expression Recognition
  • Fuzzy Logic and Control Systems
  • Neural Networks and Applications
  • Text and Document Classification Technologies
  • Anomaly Detection Techniques and Applications
  • Advanced Clustering Algorithms Research
  • Machine Learning and ELM

Shitong Wang's work spans interdisciplinary themes that bridge computational methods with biological applications, as indicated by their publications on colorectal cancer and biochemical effects. Their research contributes to ongoing discussions in both applied computational systems and biomedical science contexts.

Best Publications

  • Generalized Fuzzy C-Means Clustering Algorithm With Improved Fuzzy Partitions

    Lin Zhu;Fu-Lai Chung;Shitong Wang

  • Enhanced soft subspace clustering integrating within-cluster and between-cluster information

    Zhaohong Deng;Kup-Sze Choi;Fu-Lai Chung;Shitong Wang

  • Collaborative Fuzzy Clustering From Multiple Weighted Views

    Yizhang Jiang;Fu-Lai Chung;Shitong Wang;Zhaohong Deng

  • Seizure Classification From EEG Signals Using Transfer Learning, Semi-Supervised Learning and TSK Fuzzy System

    Yizhang Jiang;Dongrui Wu;Zhaohong Deng;Pengjiang Qian

  • An introduction to autonomous control systems

    P.J. Antsaklis;K.M. Passino;S.J. Wang

  • Towards intelligent autonomous control systems: Architecture and fundamental issues

    Panos J. Antsaklis;Kevin M. Passino;S. J. Wang

  • Recognition of Epileptic EEG Signals Using a Novel Multiview TSK Fuzzy System

    Yizhang Jiang;Zhaohong Deng;Fu-Lai Chung;Guanjin Wang

  • Deep Takagi–Sugeno–Kang Fuzzy Classifier With Shared Linguistic Fuzzy Rules

    Yuanpeng Zhang;Hisao Ishibuchi;Shitong Wang

  • Deep Multi-View Feature Learning for EEG-Based Epileptic Seizure Detection

    Xiaobin Tian;Zhaohong Deng;Wenhao Ying;Kup-Sze Choi

  • A novel image thresholding method based on Parzen window estimate

    Shitong Wang;Fu-lai Chung;Fusong Xiong

  • Knowledge-Leverage-Based TSK Fuzzy System Modeling

    Zhaohong Deng;Yizhang Jiang;Kup-Sze Choi;Fu-Lai Chung

  • Robust fuzzy clustering-based image segmentation

    Zhang Yang;Fu-Lai Chung;Wang Shitong

  • Scalable TSK Fuzzy Modeling for Very Large Datasets Using Minimal-Enclosing-Ball Approximation

    Zhaohong Deng;Kup-Sze Choi;Fu-Lai Chung;Shitong Wang

  • Generalized Hidden-Mapping Ridge Regression, Knowledge-Leveraged Inductive Transfer Learning for Neural Networks, Fuzzy Systems and Kernel Methods

    Zhaohong Deng;Kup-Sze Choi;Yizhang Jiang;Shitong Wang

  • Multitask TSK Fuzzy System Modeling by Mining Intertask Common Hidden Structure

    Yizhang Jiang;Fu-Lai Chung;Hisao Ishibuchi;Zhaohong Deng

  • Positive and negative fuzzy rule system, extreme learning machine and image classification

    Wu Jun;Wang Shitong;Wang Shitong;Fu-lai Chung

  • Attribute weighted mercer kernel based fuzzy clustering algorithm for general non-spherical datasets

    Hongbin Shen;Jie Yang;Shitong Wang;Xiaojun Liu

  • A survey on soft subspace clustering

    Zhaohong Deng;Kup-Sze Choi;Yizhang Jiang;Jun Wang

  • Transfer Prototype-Based Fuzzy Clustering

    Zhaohong Deng;Yizhang Jiang;Fu-Lai Chung;Hisao Ishibuchi

  • Deep TSK Fuzzy Classifier With Stacked Generalization and Triplely Concise Interpretability Guarantee for Large Data

    Ta Zhou;Fu-Lai Chung;Shitong Wang

  • Cluster Prototypes and Fuzzy Memberships Jointly Leveraged Cross-Domain Maximum Entropy Clustering

    Pengjiang Qian;Yizhang Jiang;Zhaohong Deng;Lingzhi Hu

Frequent Co-Authors

Fu-Lai Chung
Fu-Lai Chung Hong Kong Polytechnic University
Kup-Sze Choi
Kup-Sze Choi Hong Kong Polytechnic University
Hisao Ishibuchi
Hisao Ishibuchi Southern University of Science and Technology
Peng Xu
Peng Xu Chinese Academy of Sciences
Jingyu Yang
Jingyu Yang Nanjing University of Science and Technology
Xiaojun Wu
Xiaojun Wu University of Science and Technology of China
Hong-Bin Shen
Hong-Bin Shen Shanghai Jiao Tong University
Dinggang Shen
Dinggang Shen ShanghaiTech University
Longbing Cao
Longbing Cao University of Technology Sydney
Dongrui Wu
Dongrui Wu Huazhong University of Science and Technology

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