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
Computer Science D-index 43 Citations 6,366 174 World Ranking 3967 National Ranking 372

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Computer vision

Yanwei Pang focuses on Artificial intelligence, Pattern recognition, Feature extraction, Computer vision and Linear discriminant analysis. In his study, Semantics is strongly linked to Machine learning, which falls under the umbrella field of Artificial intelligence. His Pattern recognition research is multidisciplinary, incorporating elements of Facial recognition system, Image retrieval, Data mining and Cluster analysis.

His Feature extraction study combines topics in areas such as Artificial neural network, Object detection and Feature. His Computer vision research integrates issues from Distribution and Computation. The concepts of his Linear discriminant analysis study are interwoven with issues in Image processing, Subspace topology, Algorithm and Dimensionality reduction.

His most cited work include:

  • Gabor-Based Region Covariance Matrices for Face Recognition (252 citations)
  • Photo2Trip: generating travel routes from geo-tagged photos for trip planning (237 citations)
  • L1-Norm-Based 2DPCA (230 citations)

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

Yanwei Pang mainly investigates Artificial intelligence, Pattern recognition, Computer vision, Feature extraction and Object detection. His work in Artificial intelligence is not limited to one particular discipline; it also encompasses Machine learning. Yanwei Pang combines subjects such as Subspace topology and Facial recognition system with his study of Pattern recognition.

In general Computer vision, his work in Image restoration, Image segmentation, Histogram and Filter is often linked to Key linking many areas of study. His research investigates the link between Feature extraction and topics such as Convolutional neural network that cross with problems in Artificial neural network and Linear filter. The Principal component analysis study combines topics in areas such as Outlier and Robustness.

He most often published in these fields:

  • Artificial intelligence (81.25%)
  • Pattern recognition (46.63%)
  • Computer vision (26.44%)

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

  • Artificial intelligence (81.25%)
  • Pattern recognition (46.63%)
  • Feature extraction (24.04%)

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

Yanwei Pang spends much of his time researching Artificial intelligence, Pattern recognition, Feature extraction, Machine learning and Object detection. His Artificial intelligence study frequently draws connections between related disciplines such as Computer vision. His research in the fields of Discriminative model and Similarity overlaps with other disciplines such as Exploit.

Yanwei Pang has included themes like Point cloud, Point and Convolutional neural network in his Feature extraction study. His studies in Machine learning integrate themes in fields like Thesaurus and Robustness. His Object detection study combines topics from a wide range of disciplines, such as Face detection and Pyramid.

Between 2019 and 2021, his most popular works were:

  • Video Summarization With Attention-Based Encoder–Decoder Networks (76 citations)
  • Attribute-Guided Network for Cross-Modal Zero-Shot Hashing (31 citations)
  • Attention Scaling for Crowd Counting (18 citations)

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

  • Artificial intelligence
  • Machine learning
  • Computer vision

Yanwei Pang mainly focuses on Artificial intelligence, Pattern recognition, Feature extraction, Object detection and Convolutional neural network. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Scale, Machine learning and Computer vision. His work on Stereopsis as part of general Computer vision study is frequently linked to Transformation and Visual perception, therefore connecting diverse disciplines of science.

His study in Pattern recognition is interdisciplinary in nature, drawing from both Variation and Pascal. His studies deal with areas such as Salient and Pyramid as well as Feature extraction. The various areas that Yanwei Pang examines in his Convolutional neural network study include Artificial neural network, Biometrics, Generalization and Identification.

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

Photo2Trip: generating travel routes from geo-tagged photos for trip planning

Xin Lu;Changhu Wang;Jiang-Ming Yang;Yanwei Pang.
acm multimedia (2010)

368 Citations

Gabor-Based Region Covariance Matrices for Face Recognition

Yanwei Pang;Yuan Yuan;Xuelong Li.
IEEE Transactions on Circuits and Systems for Video Technology (2008)

299 Citations

Efficient HOG human detection

Yanwei Pang;Yuan Yuan;Xuelong Li;Jing Pan.
Signal Processing (2011)

270 Citations

L1-Norm-Based 2DPCA

Xuelong Li;Yanwei Pang;Yuan Yuan.
systems man and cybernetics (2010)

270 Citations

Underwater Image Enhancement by Dehazing With Minimum Information Loss and Histogram Distribution Prior

Chong-Yi Li;Ji-Chang Guo;Run-Min Cong;Yan-Wei Pang.
IEEE Transactions on Image Processing (2016)

245 Citations

Equip tourists with knowledge mined from travelogues

Qiang Hao;Rui Cai;Changhu Wang;Rong Xiao.
the web conference (2010)

215 Citations

Robust Tensor Analysis With L1-Norm

Yanwei Pang;Xuelong Li;Yuan Yuan.
IEEE Transactions on Circuits and Systems for Video Technology (2010)

196 Citations

Fully affine invariant SURF for image matching

Yanwei Pang;Wei Li;Yuan Yuan;Jing Pan.
Neurocomputing (2012)

179 Citations

Summarizing tourist destinations by mining user-generated travelogues and photos

Yanwei Pang;Qiang Hao;Yuan Yuan;Tanji Hu.
Computer Vision and Image Understanding (2011)

118 Citations

Neighborhood preserving projections (NPP): a novel linear dimension reduction method

Yanwei Pang;Lei Zhang;Zhengkai Liu;Nenghai Yu.
international conference on intelligent computing (2005)

114 Citations

Best Scientists Citing Yanwei Pang

Xuelong Li

Xuelong Li

Northwestern Polytechnical University

Publications: 67

Dacheng Tao

Dacheng Tao

University of Sydney

Publications: 31

Xinbo Gao

Xinbo Gao

Chongqing University of Posts and Telecommunications

Publications: 28

Feiping Nie

Feiping Nie

Northwestern Polytechnical University

Publications: 28

Ling Shao

Ling Shao

Inception Institute of Artificial Intelligence

Publications: 21

Jianbing Shen

Jianbing Shen

Beijing Institute of Technology

Publications: 19

Huazhu Fu

Huazhu Fu

Agency for Science, Technology and Research

Publications: 19

Zhihui Lai

Zhihui Lai

Shenzhen University

Publications: 19

Yuan Yuan

Yuan Yuan

Huawei Technologies (China)

Publications: 15

Changsheng Xu

Changsheng Xu

Chinese Academy of Sciences

Publications: 14

David Zhang

David Zhang

Chinese University of Hong Kong, Shenzhen

Publications: 14

Mehrtash Harandi

Mehrtash Harandi

Monash University

Publications: 13

Shuicheng Yan

Shuicheng Yan

National University of Singapore

Publications: 13

Nikolaos Papanikolopoulos

Nikolaos Papanikolopoulos

University of Minnesota

Publications: 12

Andrew Beng Jin Teoh

Andrew Beng Jin Teoh

Yonsei University

Publications: 11

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

If you think any of the details on this page are incorrect, let us know.

Contact us
Something went wrong. Please try again later.