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Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
79
Citations
36266
World Ranking
1121
National Ranking
35

Research.com Recognitions

  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award
  • 2020 - IAPR King-Sun Fu Prize
  • 1995 - Fellow of the Royal Society of Canada Academy of Science
  • 1994 - Fellow of the International Association for Pattern Recognition (IAPR)
  • 1986 - IEEE Fellow

Overview

Ching Y. Suen is affiliated with Concordia University in Canada and has a substantial body of research primarily centered in the field of Computer Science. Their work extensively covers several specialized subfields, including Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Plant Science, and Experimental and Cognitive Psychology.

The main topics of research explored by Suen encompass a diverse range of areas within pattern recognition and image analysis. These include:

  • Handwritten Text Recognition Techniques
  • Vehicle License Plate Recognition
  • Currency Recognition and Detection
  • Image Processing and 3D Reconstruction
  • Digital Media Forensic Detection
  • Advanced Neural Network Applications
  • Image Retrieval and Classification Techniques

Recent publications by Suen reflect a focus on robust pattern recognition methodologies and applications. They have contributed to papers such as:

  • Towards Robust Pattern Recognition: A Review, 2020, Proceedings of the IEEE
  • A Robust Deep Learning Approach for Automatic Iranian Vehicle License Plate Detection and Recognition for Surveillance Systems, 2020, IEEE Access
  • Document image classification: Progress over two decades, 2021, Neurocomputing
  • Improving blood cells classification in peripheral blood smears using enhanced incremental training, 2021, Computers in Biology and Medicine
  • Novel features to detect gender from handwritten documents, 2022, Pattern Recognition Letters

The scientist has collaborated frequently with a core group of co-authors, suggesting ongoing research relationships. Notable frequent co-authors include Li Liu, Yue Lu, Saeed Khazaee, Taorong Qiu, and Rabiah Al-qudah.

In terms of publication venues, Suen has made multiple contributions to journals and platforms such as SSRN Electronic Journal, arXiv (Cornell University), International Journal of Pattern Recognition and Artificial Intelligence, Expert Systems with Applications, and IEEE Access. This indicates a wide dissemination of research across various respected forums in the pattern recognition and artificial intelligence communities.

Beyond articles, Suen has authored books published by established academic publishers. Two notable book publications include:

  • Structural, Syntactic, and Statistical Pattern Recognition (2022), published by Springer Science+Business Media
  • Advances in Pattern Recognition and Artificial Intelligence (2021), published by World Scientific

Best Publications

  • A fast parallel algorithm for thinning digital patterns

    T. Y. Zhang;C. Y. Suen

  • Methods of combining multiple classifiers and their applications to handwriting recognition

    L. Xu;A. Krzyzak;C.Y. Suen

  • Thinning methodologies—a comprehensive survey

    Louisa Lam;Seong-Whan Lee;Ching Y. Suen

  • Historical review of OCR research and development

    Shunji Mori;Ching Y. Suen;Kazuhiko Yamamoto

  • The state of the art in online handwriting recognition

    C.C. Tappert;C.Y. Suen;T. Wakahara

  • A method of combining multiple experts for the recognition of unconstrained handwritten numerals

    Y.S. Huang;C.Y. Suen

  • A novel hybrid CNN-SVM classifier for recognizing handwritten digits

    Xiao-Xiao Niu;Ching Y. Suen

  • Computer recognition of unconstrained handwritten numerals

    C.Y. Suen;C. Nadal;R. Legault;T.A. Mai

  • Character Recognition Systems: A Guide for Students and Practitioners

    Mohammed Cheriet;Nawwaf Kharma;Cheng-lin Liu;Ching Suen

  • Automatic recognition of handprinted characters—The state of the art

    C.Y. Suen;M. Berthod;S. Mori

  • Optimal combinations of pattern classifiers

    Louisa Lam;Ching Y. Suen

  • A recursive thresholding technique for image segmentation

    M. Cheriet;J.N. Said;C.Y. Suen

  • Developing knowledge management metrics for measuring intellectual capital

    Jay Liebowitz;Ching Y. Suen

  • A trainable feature extractor for handwritten digit recognition

    Fabien Lauer;Ching Y. Suen;Gérard Bloch

  • Modified Hebbian learning for curve and surface fitting

    Lei Xu;Lei Xu;Erkki Oja;Ching Y. Suen

  • Automatic recognition of handwritten numerical strings: a recognition and verification strategy

    L.S. Oliveira;R. Sabourin;F. Bortolozzi;C.Y. Suen

  • Fast SVM training algorithm with decomposition on very large data sets

    Jian-xiong Dong;A. Krzyzak;C.Y. Suen

  • n-Gram Statistics for Natural Language Understanding and Text Processing

    Ching Y. Suen

  • An HMM-based approach for off-line unconstrained handwritten word modeling and recognition

    A. El-Yacoubi;M. Gilloux;R. Sabourin;C.Y. Suen

  • Large vocabulary off-line handwriting recognition: A survey

    A. L. Koerich;R. Sabourin;C. Y. Suen

  • Methods of CombiningMultiple Classifiers and Their Application to Handwriting Recognition

    L. Xu;Adam Krzyzak;C.Y Suen

Frequent Co-Authors

Mohamed Cheriet
Mohamed Cheriet École de Technologie Supérieure
Tien D. Bui
Tien D. Bui Concordia University
Robert Sabourin
Robert Sabourin École de Technologie Supérieure
Yuan Yan Tang
Yuan Yan Tang University of Macau
Adam Krzyżak
Adam Krzyżak Concordia University
Alessandro L. Koerich
Alessandro L. Koerich École de Technologie Supérieure
Cheng-Lin Liu
Cheng-Lin Liu Chinese Academy of Sciences
Luiz S. Oliveira
Luiz S. Oliveira Federal University of Paraná
Jianhuang Lai
Jianhuang Lai Sun Yat-sen University
Kaushik Roy
Kaushik Roy Purdue University West Lafayette

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