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D-Index & Metrics

Computer Science

D-Index
41
Citations
5972
World Ranking
8942
National Ranking
546

Overview

Hujun Yin is affiliated with the University of Manchester in the United Kingdom. Their research primarily spans the fields of Computer Science and Engineering, with a strong focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Computational Mechanics, and Statistical and Nonlinear Physics.

The body of their scientific work covers several key topics including Model Reduction and Neural Networks, Image and Signal Denoising Methods, Remote-Sensing Image Classification, Advanced Image Processing Techniques, Fluid Dynamics and Turbulent Flows, Smart Agriculture and AI, and Spectroscopy and Chemometric Analyses.

Recent papers authored by or involving Hujun Yin include the following publications:

  • Design and Experimental Validation of Deep Reinforcement Learning-Based Fast Trajectory Planning and Control for Mobile Robot in Unknown Environment, 2022, IEEE Transactions on Neural Networks and Learning Systems
  • A Survey of Deep Learning Approaches to Image Restoration, 2022, Neurocomputing
  • Deep Learning-Based Aerial Image Segmentation with Open Data for Disaster Impact Assessment, 2021, Neurocomputing
  • Segmentation of Weeds and Crops Using Multispectral Imaging and CRF-Enhanced U-Net, 2023, Computers and Electronics in Agriculture
  • Unsupervised Domain Adaptation Through Dynamically Aligning Both the Feature and Label Spaces, 2022, IEEE Transactions on Circuits and Systems for Video Technology

Frequent collaborators in their research include:

  • Bruce Grieve
  • Halil Mertkan Sahin
  • Tajul Miftahushudur
  • Yao Peng
  • Yiqian Mao

Their works have appeared extensively in notable publication venues, including:

  • arXiv (Cornell University)
  • Physics of Fluids
  • SSRN Electronic Journal
  • Default Digital Object Group
  • Zenodo (CERN European Organization for Nuclear Research)

In addition to journal articles, Hujun Yin has contributed to book publications under Springer Science+Business Media with titles such as "Intelligent Data Engineering and Automated Learning - IDEAL 2021," published in 2021.

Best Publications

  • Advances in Neural Networks - ISNN 2006

    Jun Wang;Zhang Yi;Jacek M. Zurada;Bao-Liang Lu

  • ViSOM - a novel method for multivariate data projection and structure visualization

    Hujun Yin

  • The Self-Organizing Maps: Background, Theories, Extensions and Applications.

    Hujun Yin

  • WLAN having load balancing by access point admission/termination

    Zoran Kostic;Kin K. Leung;Hujun Yin

  • A survey of deep learning approaches to image restoration

    Unknown

  • Self-organizing mixture networks for probability density estimation

    H. Yin;N.M. Allinson

  • Intelligent Data Engineering and Automated Learning – IDEAL 2006

    Emilio Corchado;Hujun Yin;Vicente Botti;Colin Fyfe

  • WLAN having load balancing based on access point loading

    Zoran Kostic;Kin K. Leung;Hujun Yin

  • Meta-Learning with Warped Gradient Descent

    Sebastian Flennerhag;Andrei A. Rusu;Razvan Pascanu;Francesco Visin

  • Data visualisation and manifold mapping using the ViSOM

    Hujun Yin

  • Intelligent Data Engineering and Automated Learning – IDEAL 2004

    Zheng Rong Yang;Hujun Yin;Richard M. Everson

  • Exchange rate prediction using hybrid neural networks and trading indicators

    He Ni;Hujun Yin

  • Adaptive MAC fragmentation and rate selection for 802.11 wireless networks

    Leonard Joseph Cimini;Zoran Kostic;Kin K Leung;Hujun Yin

  • Image denoising using self-organizing map-based nonlinear independent component analysis

    Michel Haritopoulos;Hujun Yin;Nigel M. Allinson

  • On the distribution and convergence of feature space in self-organizing maps

    Hujun Yin;Nigel M. Allinson

  • Deep Learning Models for Denoising ECG Signals

    Corneliu T.C. Arsene;Richard Hankins;Hujun Yin

  • The Challenges Posed by Global Broadacre Crops in Delivering Smart Agri- Robotic Solutions: A Fundamental Rethink is Required

    Bruce Donaldson Grieve;Tom Duckett;Martin Collison;Lesley Boyd

  • Clustering of unevenly sampled gene expression time-series data

    C. S. Möller-Levet;F. Klawonn;K. H. Cho;H. Yin

  • Kernel self-organising maps for classification

    K. W. Lau;Hujun Yin;Simon J. Hubbard

  • Packet shaping for mixed rate 802.11 wireless networks

    Leonard Joseph Cimini;Zoran Kostic;Kin K. Leung;Hujun Yin

  • Intelligent Data Engineering and Automated Learning - Ideal 2009

    Emilio Corchado;Hujun Yin

  • Intelligent data engineering and automated learning - IDEAL 2006 : 7th International Conference Burgos, Spain, September 20-23, 2006, proceedings

    Emilio Corchado;Hujun Yin;Vicente Botti

  • Intelligent data engineering and automated learning - IDEAL 2004 : 5th International Conference, Exeter, UK, August 25-27, 2004 : proceedings

    Zheng Rong Yang;Richard Everson;Hujun Yin

Frequent Co-Authors

Yang Gao
Yang Gao Google (United Kingdom)
Emilio Corchado
Emilio Corchado University of Salamanca
Kin K. Leung
Kin K. Leung Imperial College London
Colin Fyfe
Colin Fyfe University of the West of Scotland
Songcan Chen
Songcan Chen Nanjing University of Aeronautics and Astronautics
Simon J. Hubbard
Simon J. Hubbard Manchester Academic Health Science Centre
Zhang Yi
Zhang Yi Sichuan University
Bao-Liang Lu
Bao-Liang Lu Shanghai Jiao Tong University
Jacek M. Zurada
Jacek M. Zurada University of Louisville
Leonard J. Cimini
Leonard J. Cimini University of Delaware

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