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 67 Citations 19,126 354 World Ranking 994 National Ranking 589

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer network
  • Computer vision

His primary areas of investigation include Artificial intelligence, Computer vision, Computer network, Multiple description coding and Transform coding. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Falling and Pattern recognition. Yao Wang combines subjects such as Mesh generation and Interpolation with his study of Computer vision.

His Computer network study incorporates themes from Wireless ad hoc network, Video quality, Communication channel and Wireless network. Yao Wang combines subjects such as Encoder and Algorithm, Data compression, Motion compensation with his study of Transform coding. The concepts of his Data compression study are interwoven with issues in Quality of service and Real-time computing.

His most cited work include:

  • Error control and concealment for video communication: a review (1459 citations)
  • Video Processing and Communications (666 citations)
  • Error resilient video coding techniques (514 citations)

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

His scientific interests lie mostly in Artificial intelligence, Computer vision, Pattern recognition, Algorithm and Computer network. His work in Segmentation, Image segmentation, Pixel, Cluster analysis and Image processing are all subfields of Artificial intelligence research. His Motion compensation, Wavelet transform, Data compression, Motion estimation and Quantization investigations are all subjects of Computer vision research.

As a member of one scientific family, Yao Wang mostly works in the field of Algorithm, focusing on Encoder and, on occasion, Decoding methods. His work carried out in the field of Computer network brings together such families of science as Wireless network, Video quality and Communication channel. His Wireless network research focuses on Real-time computing and how it connects with Scalable Video Coding.

He most often published in these fields:

  • Artificial intelligence (40.83%)
  • Computer vision (28.06%)
  • Pattern recognition (17.99%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (40.83%)
  • Pattern recognition (17.99%)
  • Computer vision (28.06%)

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

His primary areas of study are Artificial intelligence, Pattern recognition, Computer vision, Segmentation and Deep learning. He integrates Artificial intelligence with Traumatic brain injury in his research. In his study, Basis function and Video processing is inextricably linked to Cluster analysis, which falls within the broad field of Pattern recognition.

His Computer vision study frequently draws connections between related disciplines such as Benchmark. His work in Segmentation tackles topics such as Ultrasound which are related to areas like Cut. His study ties his expertise on Algorithm together with the subject of Pixel.

Between 2015 and 2021, his most popular works were:

  • An experimental study of deep convolutional features for iris recognition (69 citations)
  • Fast Mode and Partition Decision Using Machine Learning for Intra-Frame Coding in HEVC Screen Content Coding Extension (43 citations)
  • Screen Content Image Segmentation Using Robust Regression and Sparse Decomposition (42 citations)

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

  • Artificial intelligence
  • Computer network
  • Computer vision

His main research concerns Artificial intelligence, Pattern recognition, Computer vision, Virtual reality and Catalysis. His biological study spans a wide range of topics, including Machine learning and Encoder. His research in Pattern recognition intersects with topics in Pixel and Facial recognition system.

The Computer vision study combines topics in areas such as Adjacency matrix, Gaussian process and Benchmark. His Virtual reality research includes elements of Augmented reality, Real-time computing and Motion. His Real-time computing study combines topics in areas such as Wireless and Bandwidth.

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

Error control and concealment for video communication: a review

Yao Wang;Qin-Fan Zhu.
Proceedings of the IEEE (1998)

2155 Citations

Video Processing and Communications

Yao Wang;Ya-quin Zhang;Joern Ostermann.
(2001)

1379 Citations

Error resilient video coding techniques

Yao Wang;S. Wenger;Jiantao Wen;A.K. Katsaggelos.
IEEE Signal Processing Magazine (2000)

743 Citations

Multimedia content analysis-using both audio and visual clues

Yao Wang;Zhu Liu;Jin-Cheng Huang.
IEEE Signal Processing Magazine (2000)

728 Citations

Multiple Description Coding for Video Delivery

Yao Wang;A.R. Reibman;Shunan Lin.
Proceedings of the IEEE (2005)

593 Citations

Multiple description coding using pairwise correlating transforms

Yao Wang;M.T. Orchard;V. Vaishampayan;A.R. Reibman.
IEEE Transactions on Image Processing (2001)

490 Citations

Maximally smooth image recovery in transform coding

Y. Wang;Q.-F. Zhu;L. Shaw.
IEEE Transactions on Communications (1993)

459 Citations

Video transport over ad hoc networks: multistream coding with multipath transport

Shiwen Mao;Shunan Lin;S.S. Panwar;Yao Wang.
IEEE Journal on Selected Areas in Communications (2003)

367 Citations

Audio Feature Extraction and Analysis for Scene Segmentation and Classification

Zhu Liu;Yao Wang;Tsuhan Chen.
multimedia signal processing (1998)

341 Citations

MPEG-4 rate control for multiple video objects

A. Vetro;Huifang Sun;Yao Wang.
IEEE Transactions on Circuits and Systems for Video Technology (1999)

337 Citations

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Best Scientists Citing Yao Wang

Fei Wei

Fei Wei

Tsinghua University

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Weizhong Qian

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Aggelos K. Katsaggelos

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Beijing Institute of Technology

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Scientific and Technological Research Council of Turkey

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King Ngi Ngan

King Ngi Ngan

University of Electronic Science and Technology of China

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Bernd Girod

Bernd Girod

Stanford University

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Edward J. Delp

Edward J. Delp

Purdue University West Lafayette

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Brant L. Candelore

Brant L. Candelore

Sony (Japan)

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Qionghai Dai

Tsinghua University

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Meng-Qiang Zhao

Meng-Qiang Zhao

New Jersey Institute of Technology

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Pascal Frossard

Pascal Frossard

École Polytechnique Fédérale de Lausanne

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Shiwen Mao

Shiwen Mao

Auburn University

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Oscar C. Au

Oscar C. Au

Hong Kong University of Science and Technology

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Pamela C. Cosman

Pamela C. Cosman

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