D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 30 Citations 3,565 149 World Ranking 6505 National Ranking 777

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Computer vision

Artificial intelligence, Sketch, Face, Pattern recognition and Facial recognition system are his primary areas of study. His study on Feature and Sparse approximation is often connected to Process as part of broader study in Artificial intelligence. He performs integrative study on Sketch and Computer vision in his works.

The concepts of his Face study are interwoven with issues in Data set, Statistical model and Hidden Markov model. The various areas that he examines in his Facial recognition system study include Blossom algorithm, Selection and k-nearest neighbors algorithm. His Machine learning research integrates issues from Image processing and Face hallucination.

His most cited work include:

  • A Comprehensive Survey to Face Hallucination (273 citations)
  • Face Sketch–Photo Synthesis and Retrieval Using Sparse Representation (128 citations)
  • Transductive Face Sketch-Photo Synthesis (111 citations)

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

The scientist’s investigation covers issues in Artificial intelligence, Face, Pattern recognition, Sketch and Computer vision. His research links Machine learning with Artificial intelligence. The various areas that Nannan Wang examines in his Face study include Representation, Similarity and Noise.

His work carried out in the field of Pattern recognition brings together such families of science as Feature and Deep learning. His Facial recognition system study integrates concerns from other disciplines, such as Image quality and Information retrieval. When carried out as part of a general Image research project, his work on Composite image filter is frequently linked to work in Process, therefore connecting diverse disciplines of study.

He most often published in these fields:

  • Artificial intelligence (66.67%)
  • Face (39.78%)
  • Pattern recognition (37.10%)

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

  • Artificial intelligence (66.67%)
  • Pattern recognition (37.10%)
  • Face (39.78%)

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

Nannan Wang focuses on Artificial intelligence, Pattern recognition, Face, Image and Convolutional neural network. His studies deal with areas such as Machine learning and Computer vision as well as Artificial intelligence. His Pattern recognition research incorporates elements of Facial recognition system, Focus, Deep learning and Feature.

The Face study combines topics in areas such as Artificial neural network and Noise. Nannan Wang has researched Image in several fields, including Reduction and Resolution. In his study, Cluster analysis is inextricably linked to Partition, which falls within the broad field of Convolutional neural network.

Between 2019 and 2021, his most popular works were:

  • Parts-dependent Label Noise: Towards Instance-dependent Label Noise (17 citations)
  • Neural Probabilistic Graphical Model for Face Sketch Synthesis (17 citations)
  • Part-dependent Label Noise: Towards Instance-dependent Label Noise (12 citations)

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

  • Artificial intelligence
  • Machine learning
  • Computer vision

His primary areas of study are Artificial intelligence, Pattern recognition, Sketch, Face and Image. His research combines Machine learning and Artificial intelligence. His studies in Pattern recognition integrate themes in fields like Facial recognition system, Deep learning, Feature and Noise.

With his scientific publications, his incorporates both Sketch and Computer vision. His Computer vision research focuses on subjects like Convolutional neural network, which are linked to Robustness. His research in Face tackles topics such as Probabilistic logic which are related to areas like Focus.

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

A Comprehensive Survey to Face Hallucination

Nannan Wang;Dacheng Tao;Xinbo Gao;Xuelong Li.
International Journal of Computer Vision (2014)

285 Citations

Facial feature point detection: A comprehensive survey

Nannan Wang;Xinbo Gao;Dacheng Tao;Heng Yang.
Neurocomputing (2018)

230 Citations

Face Sketch–Photo Synthesis and Retrieval Using Sparse Representation

Xinbo Gao;Nannan Wang;Dacheng Tao;Xuelong Li.
IEEE Transactions on Circuits and Systems for Video Technology (2012)

172 Citations

Transductive Face Sketch-Photo Synthesis

Nannan Wang;Dacheng Tao;Xinbo Gao;Xuelong Li.
IEEE Transactions on Neural Networks (2013)

158 Citations

Environmental regulations and emissions trading in China

Yen-Chiang Chang;Nannan Wang.
Energy Policy (2010)

153 Citations

Bayesian Face Sketch Synthesis

Nannan Wang;Xinbo Gao;Leiyu Sun;Jie Li.
IEEE Transactions on Image Processing (2017)

121 Citations

Graphical Representation for Heterogeneous Face Recognition

Chunlei Peng;Xinbo Gao;Nannan Wang;Jie Li.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2017)

118 Citations

HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-Identification

Yi Hao;Nannan Wang;Jie Li;Xinbo Gao.
national conference on artificial intelligence (2019)

104 Citations

Multiple Representations-Based Face Sketch–Photo Synthesis

Chunlei Peng;Xinbo Gao;Nannan Wang;Dacheng Tao.
IEEE Transactions on Neural Networks (2016)

102 Citations

Random sampling for fast face sketch synthesis

Nannan Wang;Xinbo Gao;Jie Li.
Pattern Recognition (2018)

102 Citations

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Best Scientists Citing Nannan Wang

Junjun Jiang

Junjun Jiang

Harbin Institute of Technology

Publications: 26

Xinbo Gao

Xinbo Gao

Chongqing University of Posts and Telecommunications

Publications: 24

Dacheng Tao

Dacheng Tao

University of Sydney

Publications: 21

Masashi Sugiyama

Masashi Sugiyama

University of Tokyo

Publications: 18

Jiayi Ma

Jiayi Ma

Wuhan University

Publications: 17

Tongliang Liu

Tongliang Liu

University of Sydney

Publications: 15

Jun Yu

Jun Yu

Hangzhou Dianzi University

Publications: 13

Ran He

Ran He

Chinese Academy of Sciences

Publications: 13

Nasser M. Nasrabadi

Nasser M. Nasrabadi

West Virginia University

Publications: 12

Xuelong Li

Xuelong Li

Northwestern Polytechnical University

Publications: 12

Jie Li

Jie Li

Xidian University

Publications: 11

Yi-Zhe Song

Yi-Zhe Song

University of Surrey

Publications: 10

Josef Bigun

Josef Bigun

Halmstad University

Publications: 8

Richa Singh

Richa Singh

Indian Institute of Technology Jodhpur

Publications: 8

Rongrong Ji

Rongrong Ji

Xiamen University

Publications: 8

Fatih Porikli

Fatih Porikli

Australian National University

Publications: 7

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