H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 57 Citations 11,523 246 World Ranking 1963 National Ranking 186

Research.com Recognitions

Awards & Achievements

2016 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to automatic iris recognition and applications

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

His scientific interests lie mostly in Artificial intelligence, Pattern recognition, Computer vision, Feature extraction and Iris recognition. Artificial intelligence is closely attributed to Data mining in his research. His research in Computer vision intersects with topics in Iris and Word error rate.

The various areas that he examines in his Feature extraction study include Feature, Pixel, Contextual image classification, Dimensionality reduction and Discriminative model. His Iris recognition research is multidisciplinary, incorporating perspectives in IRIS, Segmentation, Iris flower data set and Codebook. His Facial recognition system research includes themes of Embedding, Convolution, Representation and Subspace topology.

His most cited work include:

  • A Light CNN for Deep Face Representation With Noisy Labels (505 citations)
  • Ordinal palmprint represention for personal identification [represention read representation] (367 citations)
  • Toward Accurate and Fast Iris Segmentation for Iris Biometrics (304 citations)

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

Zhenan Sun spends much of his time researching Artificial intelligence, Pattern recognition, Computer vision, Iris recognition and Facial recognition system. Feature extraction, Biometrics, Face, Iris and Feature are among the areas of Artificial intelligence where he concentrates his study. In Feature extraction, Zhenan Sun works on issues like Feature, which are connected to Feature selection.

His Pattern recognition research is multidisciplinary, incorporating elements of Image and Robustness. His Iris recognition research focuses on IRIS and how it connects with Mobile device. His biological study spans a wide range of topics, including Classifier, Embedding, Machine learning and Pattern recognition.

He most often published in these fields:

  • Artificial intelligence (93.45%)
  • Pattern recognition (58.62%)
  • Computer vision (47.93%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (93.45%)
  • Pattern recognition (58.62%)
  • Computer vision (47.93%)

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

Zhenan Sun mostly deals with Artificial intelligence, Pattern recognition, Computer vision, Face and Facial recognition system. His work on Image, Biometrics and Feature as part of general Artificial intelligence research is frequently linked to Focus, thereby connecting diverse disciplines of science. His work deals with themes such as Margin, Subspace topology and Regression, which intersect with Pattern recognition.

His research ties Iris and Computer vision together. Zhenan Sun works mostly in the field of Face, limiting it down to topics relating to Inpainting and, in certain cases, Flexibility and Sketch, as a part of the same area of interest. The concepts of his Facial recognition system study are interwoven with issues in Constraint, Field, Image warping and Pattern recognition.

Between 2018 and 2021, his most popular works were:

  • Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition (102 citations)
  • A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications (77 citations)
  • Attribute-Aware Face Aging With Wavelet-Based Generative Adversarial Networks (48 citations)

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

  • Artificial intelligence
  • Computer vision
  • Machine learning

Artificial intelligence, Pattern recognition, Facial recognition system, Face and Computer vision are his primary areas of study. His work on Matching expands to the thematically related Artificial intelligence. His study in Pattern recognition is interdisciplinary in nature, drawing from both Subspace topology, Compact space, Feature, Leverage and Representation.

His Facial recognition system study combines topics from a wide range of disciplines, such as Centroid, Matching, Constraint, Convolutional neural network and Pattern recognition. His Face research is multidisciplinary, relying on both Field, Wavelet and Image warping. His work carried out in the field of Ground truth brings together such families of science as Image resolution, Ranking and Biometrics.

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

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

Toward Accurate and Fast Iris Segmentation for Iris Biometrics

Zhaofeng He;Tieniu Tan;Zhenan Sun;Xianchao Qiu.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2009)

453 Citations

A Light CNN for Deep Face Representation With Noisy Labels

Xiang Wu;Ran He;Zhenan Sun;Tieniu Tan.
IEEE Transactions on Information Forensics and Security (2018)

406 Citations

Ordinal Measures for Iris Recognition

Zhenan Sun;Tieniu Tan.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2009)

325 Citations

Efficient and robust segmentation of noisy iris images for non-cooperative iris recognition

Tieniu Tan;Zhaofeng He;Zhenan Sun.
Image and Vision Computing (2010)

320 Citations

Discriminant sparse neighborhood preserving embedding for face recognition

Jie Gui;Zhenan Sun;Wei Jia;Rongxiang Hu.
Pattern Recognition (2012)

276 Citations

A fast and robust iris localization method based on texture segmentation

Jiali Cui;Yunhong Wang;Tieniu Tan;Li Ma.
Biometric Technology for Human Identification (2004)

222 Citations

Half-Quadratic-Based Iterative Minimization for Robust Sparse Representation

Ran He;Wei-Shi Zheng;Tieniu Tan;Zhenan Sun.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2014)

215 Citations

Feature Selection Based on Structured Sparsity: A Comprehensive Study

Jie Gui;Zhenan Sun;Shuiwang Ji;Dacheng Tao.
IEEE Transactions on Neural Networks (2017)

206 Citations

A Lightened CNN for Deep Face Representation

Xiang Wu;Ran He;Zhenan Sun.
arXiv: Computer Vision and Pattern Recognition (2015)

190 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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