H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 64 Citations 17,999 392 World Ranking 1223 National Ranking 116

Research.com Recognitions

Awards & Achievements

2018 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to biometrics, computer vision, and pattern recognition

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

Yunhong Wang mainly investigates Artificial intelligence, Pattern recognition, Computer vision, Feature extraction and Biometrics. Yunhong Wang regularly ties together related areas like Machine learning in his Artificial intelligence studies. Yunhong Wang combines subjects such as Facial recognition system and Feature with his study of Pattern recognition.

As a part of the same scientific family, he mostly works in the field of Computer vision, focusing on Gait analysis and, on occasion, Silhouette, Invariant and Optical flow. Yunhong Wang has included themes like Representation, Data mining and Key in his Feature extraction study. His Biometrics research also works with subjects such as

  • Fingerprint recognition which is related to area like Contextual image classification,
  • Segmentation that intertwine with fields like Phase congruency.

His most cited work include:

  • Personal identification based on iris texture analysis (907 citations)
  • Efficient iris recognition by characterizing key local variations (859 citations)
  • Local Binary Patterns and Its Application to Facial Image Analysis: A Survey (643 citations)

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

His primary areas of study are Artificial intelligence, Pattern recognition, Computer vision, Feature extraction and Facial recognition system. He frequently studies issues relating to Machine learning and Artificial intelligence. His Pattern recognition research is multidisciplinary, incorporating perspectives in Contextual image classification, Histogram and Robustness.

His study explores the link between Feature extraction and topics such as Gait that cross with problems in Silhouette. The Facial recognition system study combines topics in areas such as Image processing, Image texture and Local binary patterns. His study in Biometrics is interdisciplinary in nature, drawing from both Digital watermarking, Authentication and Identification.

He most often published in these fields:

  • Artificial intelligence (87.95%)
  • Pattern recognition (55.58%)
  • Computer vision (50.45%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (87.95%)
  • Pattern recognition (55.58%)
  • Computer vision (50.45%)

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

Yunhong Wang mainly investigates Artificial intelligence, Pattern recognition, Computer vision, Feature extraction and Object detection. His Artificial intelligence study frequently draws connections to other fields, such as Machine learning. His work on Discriminative model as part of general Machine learning research is often related to Identity, thus linking different fields of science.

His Pattern recognition research includes themes of Facial expression recognition, Representation and Pooling. His studies deal with areas such as Visualization, Convolutional neural network and Frequency analysis as well as Feature extraction. His Object detection research is multidisciplinary, relying on both Orientation, Pascal, Data mining and Benchmark.

Between 2019 and 2021, his most popular works were:

  • Remote sensing image fusion based on two-stream fusion network (36 citations)
  • CNN-based Density Estimation and Crowd Counting: A Survey (21 citations)
  • stagNet: An Attentive Semantic RNN for Group Activity and Individual Action Recognition (19 citations)

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

  • Artificial intelligence
  • Computer vision
  • Machine learning

His scientific interests lie mostly in Artificial intelligence, Feature extraction, Convolutional neural network, Computer vision and Pattern recognition. In most of his Artificial intelligence studies, his work intersects topics such as Machine learning. His work in the fields of Image resolution and Frequency domain overlaps with other areas such as Fourier transform and Painting.

His Pattern recognition study integrates concerns from other disciplines, such as Age progression, Facial recognition system and Deep learning. His Discriminative model study also includes

  • Video tracking and related Feature,
  • Activity recognition, which have a strong connection to Graph. His biological study spans a wide range of topics, including Pascal, Feature vector and Conditional probability distribution.

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.

Best Publications

Personal identification based on iris texture analysis

Li Ma;Tieniu Tan;Yunhong Wang;Dexin Zhang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2003)

1322 Citations

Efficient iris recognition by characterizing key local variations

Li Ma;Tieniu Tan;Yunhong Wang;Dexin Zhang.
IEEE Transactions on Image Processing (2004)

1232 Citations

Local Binary Patterns and Its Application to Facial Image Analysis: A Survey

Di Huang;Caifeng Shan;M. Ardabilian;Yunhong Wang.
systems man and cybernetics (2011)

999 Citations

Iris recognition using circular symmetric filters

Li Ma;Yunhong Wang;Tieniu Tan.
international conference on pattern recognition (2002)

595 Citations

Road Extraction by Deep Residual U-Net

Zhengxin Zhang;Qingjie Liu;Yunhong Wang.
IEEE Geoscience and Remote Sensing Letters (2018)

585 Citations

Biometric personal identification based on iris patterns

Yong Zhu;Tieniu Tan;Yunhong Wang.
international conference on pattern recognition (2000)

558 Citations

Ordinal palmprint represention for personal identification [represention read representation]

Zhenan Sun;Tieniu Tan;Yunhong Wang;S.Z. Li.
computer vision and pattern recognition (2005)

477 Citations

Combining face and iris biometrics for identity verification

Yunhong Wang;Tieniu Tan;Anil K. Jain.
Lecture Notes in Computer Science (2003)

463 Citations

Iris Recognition Based on Multichannel Gabor Filtering

Li Ma;Yunhong Wang;Tieniu Tan.
(2002)

458 Citations

Live face detection based on the analysis of Fourier spectra

Jiangwei Li;Yunhong Wang;Tieniu Tan;Anil K. Jain.
Biometric Technology for Human Identification (2004)

408 Citations

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