H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 66 Citations 14,267 504 World Ranking 1086 National Ranking 99

Research.com Recognitions

Awards & Achievements

2004 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to wavelet analysis, pattern recognition and document analysis.

2004 - IEEE Fellow For contributions to wavelet analysis to pattern recognition and document analysis.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Machine learning

Yuan Yan Tang mainly focuses on Artificial intelligence, Pattern recognition, Computer vision, Feature extraction and Wavelet transform. His study in Image, Pixel, Facial recognition system, Image processing and Robustness are all subfields of Artificial intelligence. In his research, Training set is intimately related to Regularization, which falls under the overarching field of Pattern recognition.

His work in the fields of Image segmentation, Feature detection and Segmentation overlaps with other areas such as Clutter. His research integrates issues of Classifier, Feature, Principal component analysis and Support vector machine in his study of Feature extraction. His Wavelet transform study which covers Edge detection that intersects with Structure, Multiresolution analysis and Image resolution.

His most cited work include:

  • Face Recognition Under Varying Illumination Using Gradientfaces (334 citations)
  • A Local Contrast Method for Small Infrared Target Detection (284 citations)
  • High-order distance-based multiview stochastic learning in image classification. (228 citations)

What are the main themes of his work throughout his whole career to date?

Yuan Yan Tang spends much of his time researching Artificial intelligence, Pattern recognition, Computer vision, Wavelet and Algorithm. His research in Artificial intelligence tackles topics such as Machine learning which are related to areas like Data mining. His Pattern recognition and Hyperspectral imaging, Sparse approximation, Dimensionality reduction, Feature vector and Support vector machine investigations all form part of his Pattern recognition research activities.

His studies in Image processing, Pixel and Image segmentation are all subfields of Computer vision research. His Wavelet research includes themes of Speech recognition, Mathematical analysis and Pattern recognition. His Signal processing research extends to the thematically linked field of Algorithm.

He most often published in these fields:

  • Artificial intelligence (72.64%)
  • Pattern recognition (52.15%)
  • Computer vision (25.64%)

What were the highlights of his more recent work (between 2016-2021)?

  • Artificial intelligence (72.64%)
  • Pattern recognition (52.15%)
  • Algorithm (17.05%)

In recent papers he was focusing on the following fields of study:

Yuan Yan Tang mostly deals with Artificial intelligence, Pattern recognition, Algorithm, Computer vision and Hyperspectral imaging. He works mostly in the field of Artificial intelligence, limiting it down to topics relating to Machine learning and, in certain cases, Data mining, as a part of the same area of interest. His Pattern recognition study combines topics from a wide range of disciplines, such as Regression, Robustness and Cluster analysis.

Yuan Yan Tang mostly deals with Video tracking in his studies of Computer vision. His Hyperspectral imaging research incorporates elements of Pixel, Image, Spatial analysis and Feature vector. His Feature selection research is multidisciplinary, incorporating elements of Matrix and Dimensionality reduction.

Between 2016 and 2021, his most popular works were:

  • Robust Object Tracking via Key Patch Sparse Representation (180 citations)
  • Reliable asynchronous sampled-data filtering of T–S fuzzy uncertain delayed neural networks with stochastic switched topologies (170 citations)
  • Nonfragile asynchronous control for uncertain chaotic Lurie network systems with Bernoulli stochastic process (145 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Statistics

Artificial intelligence, Pattern recognition, Computer vision, Machine learning and Sparse approximation are his primary areas of study. Discriminative model, Feature extraction, Class, Support vector machine and Robustness are subfields of Artificial intelligence in which his conducts study. Specifically, his work in Pattern recognition is concerned with the study of Hyperspectral imaging.

His studies in Computer vision integrate themes in fields like Salient, Simple, Ranking and Focus. His work deals with themes such as Software quality, Data mining and Crowd psychology, which intersect with Machine learning. His Sparse approximation research is multidisciplinary, relying on both Classifier, Facial recognition system, Matching pursuit and Outlier.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Face Recognition Under Varying Illumination Using Gradientfaces

Taiping Zhang;Yuan Yan Tang;Bin Fang;Zhaowei Shang.
IEEE Transactions on Image Processing (2009)

513 Citations

A Local Contrast Method for Small Infrared Target Detection

C. L. Philip Chen;Hong Li;Yantao Wei;Tian Xia.
IEEE Transactions on Geoscience and Remote Sensing (2014)

400 Citations

Off-line signature verification by the tracking of feature and stroke positions

Bin Fang;Cheung H. Leung;Yuan Yan Tang;K. W. Tse.
Pattern Recognition (2003)

265 Citations

Multi-agent oriented constraint satisfaction

Jiming Liu;Han Jing;Y. Y. Tang.
Artificial Intelligence (2002)

265 Citations

Wavelet Theory Approach to Pattern Recognition

Yuan Yan Tang.
(2009)

247 Citations

Wavelet Theory and Its Application to Pattern Recognition

Yuan Yan Tang.
(2000)

246 Citations

Multiscale facial structure representation for face recognition under varying illumination

Taiping Zhang;Bin Fang;Yuan Yuan;Yuan Yan Tang.
Pattern Recognition (2009)

244 Citations

High-order distance-based multiview stochastic learning in image classification.

Jun Yu;Yong Rui;Yuan Yan Tang;Dacheng Tao.
IEEE Transactions on Systems, Man, and Cybernetics (2014)

227 Citations

Multiview Hessian discriminative sparse coding for image annotation

Weifeng Liu;Dacheng Tao;Jun Cheng;Yuanyan Tang.
Computer Vision and Image Understanding (2014)

210 Citations

Adaptive image segmentation with distributed behavior-based agents

Jiming Liu;Y.Y. Tang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1999)

208 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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