H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 77 Citations 19,176 385 World Ranking 526 National Ranking 42

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Operating system
  • The Internet

Shipeng Li mostly deals with Artificial intelligence, Computer vision, Motion compensation, Multimedia and Scalable Video Coding. Artificial intelligence connects with themes related to Pattern recognition in his study. Shipeng Li has included themes like Reference frame and Sub-band coding in his Computer vision study.

His work deals with themes such as Motion estimation, Frame rate, Computer graphics and Block-matching algorithm, which intersect with Motion compensation. His Multimedia study combines topics from a wide range of disciplines, such as Service, The Internet, World Wide Web, Peer-to-peer and Smacker video. His studies in Scalable Video Coding integrate themes in fields like Multiview Video Coding, Bitstream, Coding tree unit and Real-time computing.

His most cited work include:

  • Salient Object Detection: A Discriminative Regional Feature Integration Approach (864 citations)
  • Multimedia Cloud Computing (364 citations)
  • A framework for efficient progressive fine granularity scalable video coding (314 citations)

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

His primary scientific interests are in Artificial intelligence, Computer vision, Motion compensation, Algorithm and Multimedia. As a member of one scientific family, Shipeng Li mostly works in the field of Artificial intelligence, focusing on Pattern recognition and, on occasion, Machine learning. His study in Computer vision is interdisciplinary in nature, drawing from both Encoder and Coding tree unit.

The Motion compensation study combines topics in areas such as Macroblock, Rate–distortion optimization, Block-matching algorithm and Transform coding. The various areas that Shipeng Li examines in his Multimedia study include The Internet, World Wide Web and Mobile device. His Multiview Video Coding research includes themes of Scalable Video Coding and Video compression picture types.

He most often published in these fields:

  • Artificial intelligence (42.27%)
  • Computer vision (34.77%)
  • Motion compensation (14.55%)

What were the highlights of his more recent work (between 2011-2020)?

  • Artificial intelligence (42.27%)
  • Computer vision (34.77%)
  • Image retrieval (4.77%)

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

Shipeng Li mainly investigates Artificial intelligence, Computer vision, Image retrieval, Information retrieval and Algorithm. His Artificial intelligence research is multidisciplinary, relying on both Machine learning and Pattern recognition. His Computer vision research includes elements of Codec and Encoder.

The study incorporates disciplines such as Visualization, Feature extraction and Cluster analysis in addition to Image retrieval. His Information retrieval course of study focuses on Visual search and Session, Mobile computing, User interface, Web page and User experience design. His Algorithm research incorporates elements of Most significant bit, Nearest neighbor search, k-means clustering and Algorithmic efficiency.

Between 2011 and 2020, his most popular works were:

  • Salient Object Detection: A Discriminative Regional Feature Integration Approach (864 citations)
  • Multimedia search reranking: A literature survey (156 citations)
  • Order preserving hashing for approximate nearest neighbor search (113 citations)

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

  • Artificial intelligence
  • Operating system
  • The Internet

Artificial intelligence, Computer vision, Multimedia, Machine learning and Theoretical computer science are his primary areas of study. His biological study spans a wide range of topics, including Location-based service and Pattern recognition. His work focuses on many connections between Pattern recognition and other disciplines, such as Object detection, that overlap with his field of interest in Feature.

His Process research extends to the thematically linked field of Computer vision. His Multimedia research incorporates themes from Transfer of learning, Social media and Mobile computing. His research in Theoretical computer science intersects with topics in k-means clustering, Cluster analysis, k-nearest neighbors algorithm, Graph and Nearest neighbor search.

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

Salient Object Detection: A Discriminative Regional Feature Integration Approach

Huaizu Jiang;Jingdong Wang;Zejian Yuan;Yang Wu.
computer vision and pattern recognition (2013)

1048 Citations

Multimedia Cloud Computing

Wenwu Zhu;Chong Luo;Jianfeng Wang;Shipeng Li.
IEEE Signal Processing Magazine (2011)

539 Citations

A framework for efficient progressive fine granularity scalable video coding

Feng Wu;Shipeng Li;Ya-Qin Zhang.
IEEE Transactions on Circuits and Systems for Video Technology (2001)

478 Citations

Shape-adaptive discrete wavelet transforms for arbitrarily shaped visual object coding

Shipeng Li;Weiping Li.
IEEE Transactions on Circuits and Systems for Video Technology (2000)

347 Citations

Dynamic search with implicit user intention mining

Guo Bin Shen;Shipeng Li.
(2005)

316 Citations

Adaptive Directional Lifting-Based Wavelet Transform for Image Coding

Wenpeng Ding;Feng Wu;Xiaolin Wu;Shipeng Li.
IEEE Transactions on Image Processing (2007)

284 Citations

Video coding methods and apparatuses

Alexandros Tourapis;Feng Wu;Shipeng Li.
(2002)

284 Citations

Descriptive visual words and visual phrases for image applications

Shiliang Zhang;Qi Tian;Gang Hua;Qingming Huang.
acm multimedia (2009)

279 Citations

Interactive virtual display system for ubiquitous devices

Yan Lu;Wen Sun;Shipeng Li.
(2011)

260 Citations

Three-Dimensional Embedded Subband Coding with Optimized Truncation (3-D ESCOT)

Jizheng Xu;Zixiang Xiong;Shipeng Li;Ya-Qin Zhang.
Applied and Computational Harmonic Analysis (2001)

257 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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Top Scientists Citing Shipeng Li

Tao Mei

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Jingdong (China)

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Qi Tian

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Huawei Technologies (China)

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University of Science and Technology of China

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Microsoft (United States)

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Hefei University of Technology

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Marta Karczewicz

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Qualcomm (United Kingdom)

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Huchuan Lu

Huchuan Lu

Dalian University of Technology

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Jingdong Wang

Jingdong Wang

Microsoft (United States)

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Changsheng Xu

Changsheng Xu

Chinese Academy of Sciences

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Qingming Huang

Qingming Huang

Chinese Academy of Sciences

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Debin Zhao

Debin Zhao

Harbin Institute of Technology

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Houqiang Li

Houqiang Li

University of Science and Technology of China

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Lyle W. Paczkowski

Lyle W. Paczkowski

Sprint (United States)

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Ralph F. Osterhout

Ralph F. Osterhout

Microsoft (United States)

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