World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
15390
World Ranking
4481
National Ranking
273

Overview

Qiang Shen is affiliated with Aberystwyth University in the United Kingdom and has contributed extensively to the fields of Computer Science and Engineering. Their research spans over 300 publications, with a strong focus on Artificial Intelligence and Computer Vision and Pattern Recognition as key subfields.

The main topics addressed in Qiang Shen's work include:

  • Fuzzy Logic and Control Systems
  • Neural Networks and Applications
  • Remote-Sensing Image Classification
  • Rough Sets and Fuzzy Logic
  • Multi-Criteria Decision Making
  • Video Surveillance and Tracking Methods
  • Remote Sensing and Land Use

Frequent co-authors collaborating with Qiang Shen are:

  • Changjing Shang
  • Fei Chao
  • Ying Li
  • Xiang Chang
  • Longzhi Yang

Qiang Shen publishes regularly in several notable venues, including:

  • IEEE Transactions on Fuzzy Systems
  • Knowledge-Based Systems
  • SSRN Electronic Journal
  • IEEE Transactions on Cybernetics
  • Information Sciences

Selected recent papers authored or co-authored by Qiang Shen include:

  • Multi-objective robust optimisation model for MDVRPLS in refined oil distribution (2021) - International Journal of Production Research
  • A sentiment-aware deep learning approach for personality detection from text (2021) - Information Processing & Management
  • High-resolution triplet network with dynamic multiscale feature for change detection on satellite images (2021) - ISPRS Journal of Photogrammetry and Remote Sensing
  • Development and clinical application of deep learning model for lung nodules screening on CT images (2020) - Scientific Reports
  • A Decision Tree-Initialised Neuro-fuzzy Approach for Clinical Decision Support (2020) - Artificial Intelligence in Medicine

Through this body of interdisciplinary research, Qiang Shen integrates concepts from fuzzy logic, neural networks, and decision-making processes, applying them to areas such as medical diagnosis, remote sensing, and personality detection from text data. These contributions link theoretical advances to practical applications in engineering and information technology.

Best Publications

  • Spectral-spatial classification of hyperspectral imagery with 3D convolutional neural network

    Ying Li;Haokui Zhang;Qiang Shen

  • Semantics-preserving dimensionality reduction: rough and fuzzy-rough-based approaches

    R. Jensen;Q. Shen

  • New Approaches to Fuzzy-Rough Feature Selection

    R. Jensen;Qiang Shen

  • Fuzzy rough attribute reduction with application to web categorization

    Richard Jensen;Qiang Shen

  • Fuzzy-Rough Sets Assisted Attribute Selection

    R. Jensen;Qiang Shen

  • Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches

    Richard Jensen;Qiang Shen

  • Deep learning for remote sensing image classification: A survey

    Ying Li;Haokui Zhang;Xizhe Xue;Yenan Jiang

  • Review: learning bayesian networks: Approaches and issues

    Rónán Daly;Qiang Shen;Stuart Aitken

  • Rough set-aided keyword reduction for text categorization

    Alexios Chouchoulas;Qiang Shen

  • Fuzzy qualitative simulation

    Q. Shen;R. Leitch

  • Spectral-spatial classification of hyperspectral imagery using a dual-channel convolutional neural network

    Haokui Zhang;Ying Li;Yuzhu Zhang;Qiang Shen

  • Selecting Informative Features with Fuzzy-Rough Sets and its Application for Complex Systems Monitoring.

    Qiang Shen;Richard Jensen

  • A rough-fuzzy approach for generating classification rules

    Qiang Shen;Alexios Chouchoulas

  • Fuzzy-rough data reduction with ant colony optimization

    Richard Jensen;Qiang Shen

  • Fuzzy interpolative reasoning via scale and move transformations

    Zhiheng Huang;Qiang Shen

  • Fuzzy Interpolation and Extrapolation: A Practical Approach

    Zhiheng Huang;Qiang Shen

  • Feature Selection With Harmony Search

    Ren Diao;Qiang Shen

  • Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer Learning

    Haokui Zhang;Ying Li;Yenan Jiang;Peng Wang

  • A Distance Measure Approach to Exploring the Rough Set Boundary Region for Attribute Reduction

    N. Parthalain;Qiang Shen;R. Jensen

  • Multi-objective robust optimisation model for MDVRPLS in refined oil distribution

    Xiaofeng Xu;Ziru Lin;Xiang Li;Changjing Shang

  • Exploring the boundary region of tolerance rough sets for feature selection

    Neil Mac Parthaláin;Qiang Shen

Frequent Co-Authors

Richard Jensen
Richard Jensen Aberystwyth University
Chai Quek
Chai Quek Nanyang Technological University
Chih-Min Lin
Chih-Min Lin Yuan Ze University
Plamen Angelov
Plamen Angelov Lancaster University
Yongfeng Zhang
Yongfeng Zhang Rutgers, The State University of New Jersey
Wansheng Tang
Wansheng Tang Tianjin University
Chunhua Shen
Chunhua Shen Zhejiang University
Grigoris Antoniou
Grigoris Antoniou University of Huddersfield
Jonathan M. Garibaldi
Jonathan M. Garibaldi University of Nottingham
Yitian Zhao
Yitian Zhao Chinese Academy of Sciences

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