H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 68 Citations 15,771 291 World Ranking 951 National Ranking 572

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Algorithm

Artificial intelligence, Algorithm, Digital watermarking, Computer vision and Pattern recognition are his primary areas of study. His studies deal with areas such as Image quality, Theoretical computer science, Discrete cosine transform, Information hiding and Steganography as well as Algorithm. His Discrete cosine transform study deals with JPEG intersecting with Steganalysis.

As a part of the same scientific study, Yun Q. Shi usually deals with the Digital watermarking, concentrating on Watermark and frequently concerns with Copy protection, Speech recognition and Adaptive filter. His study on Image compression, Feature extraction and Image-based modeling and rendering is often connected to 2D computer graphics as part of broader study in Computer vision. He has included themes like Histogram, Image, Distance measurement and Markov process in his Pattern recognition study.

His most cited work include:

  • Reversible Watermarking Algorithm Using Sorting and Prediction (584 citations)
  • A Markov process based approach to effective attacking JPEG steganography (320 citations)
  • A Survey on Image Steganography and Steganalysis (299 citations)

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

Yun Q. Shi spends much of his time researching Artificial intelligence, Computer vision, Algorithm, Digital watermarking and Pattern recognition. His studies in JPEG, Discrete cosine transform, Data compression, Steganalysis and Wavelet are all subfields of Artificial intelligence research. Yun Q. Shi usually deals with JPEG and limits it to topics linked to Steganography and Hilbert–Huang transform.

His research integrates issues of Theoretical computer science, Information hiding, Embedding, Speech recognition and Interleaving in his study of Algorithm. His Digital watermarking research incorporates elements of Watermark, Binary image, Robustness and Signal processing. He combines subjects such as Contextual image classification, Thresholding and Standard test image with his study of Pattern recognition.

He most often published in these fields:

  • Artificial intelligence (50.90%)
  • Computer vision (34.68%)
  • Algorithm (31.08%)

What were the highlights of his more recent work (between 2012-2017)?

  • Artificial intelligence (50.90%)
  • Algorithm (31.08%)
  • Embedding (11.26%)

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

His primary areas of study are Artificial intelligence, Algorithm, Embedding, Information hiding and Computer vision. Much of his study explores Artificial intelligence relationship to Pattern recognition. His study on Algorithm also encompasses disciplines like

  • Steganography that connect with fields like Trellis modulation and Discrete cosine transform,
  • Steganalysis that connect with fields like Feature and Artificial neural network.

His Embedding study integrates concerns from other disciplines, such as Histogram, Theoretical computer science and Line. His Information hiding research is multidisciplinary, incorporating elements of Motion vector and Encryption. Many of his research projects under Computer vision are closely connected to Uncompressed video with Uncompressed video, tying the diverse disciplines of science together.

Between 2012 and 2017, his most popular works were:

  • Uniform Embedding for Efficient JPEG Steganography (146 citations)
  • Data Hiding in Encrypted H.264/AVC Video Streams by Codeword Substitution (92 citations)
  • Ensemble of CNNs for Steganalysis: An Empirical Study (87 citations)

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

  • Artificial intelligence
  • Computer vision
  • Statistics

Yun Q. Shi mainly focuses on Algorithm, Theoretical computer science, Artificial intelligence, Embedding and Steganalysis. Algorithm and Information hiding are commonly linked in his work. His Information hiding study which covers Cryptography that intersects with Codec.

Yun Q. Shi undertakes interdisciplinary study in the fields of Artificial intelligence and Object detection through his works. The study incorporates disciplines such as Trellis modulation and Discrete cosine transform in addition to Embedding. Yun Q. Shi has researched Steganalysis in several fields, including Feature, Pooling, Artificial neural network, Feature vector and Convolutional neural network.

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

Reversible Watermarking Algorithm Using Sorting and Prediction

V. Sachnev;Hyoung Joong Kim;Jeho Nam;S. Suresh.
IEEE Transactions on Circuits and Systems for Video Technology (2009)

820 Citations

A Survey on Image Steganography and Steganalysis

Bin Li;Junhui He;Jiwu Huang;Yun Qing Shi.
J. Inf. Hiding Multim. Signal Process. (2011)

557 Citations

A Markov process based approach to effective attacking JPEG steganography

Yun Q. Shi;Chunhua Chen;Wen Chen.
information hiding (2006)

500 Citations

A DWT-DFT composite watermarking scheme robust to both affine transform and JPEG compression

Xiangui Kang;Jiwu Huang;Yun Q Shi;Yan Lin.
IEEE Transactions on Circuits and Systems for Video Technology (2003)

464 Citations

A Novel Difference Expansion Transform for Reversible Data Embedding

Hyoung Joong Kim;V. Sachnev;Yun Qing Shi;Jeho Nam.
IEEE Transactions on Information Forensics and Security (2008)

409 Citations

Distortionless data hiding based on integer wavelet transform

Guorong Xuan;Jiang Zhu;Jidong Chen;Yun Q. Shi.
Electronics Letters (2002)

377 Citations

A generalized Benford's law for JPEG coefficients and its applications in image forensics

Dongdong Fu;Yun Q. Shi;Wei Su.
conference on security steganography and watermarking of multimedia contents (2007)

328 Citations

Steganalysis based on multiple features formed by statistical moments of wavelet characteristic functions

Guorong Xuan;Yun Q. Shi;Jianjiong Gao;Dekun Zou.
information hiding (2005)

271 Citations

Distance-reciprocal distortion measure for binary document images

Haiping Lu;A.C. Kot;Y.Q. Shi.
IEEE Signal Processing Letters (2004)

262 Citations

A natural image model approach to splicing detection

Yun Q. Shi;Chunhua Chen;Wen Chen.
acm workshop on multimedia and security (2007)

249 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.

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

Contact us

Top Scientists Citing Yun Q. Shi

Jiwu Huang

Jiwu Huang

Shenzhen University

Publications: 104

Jessica Fridrich

Jessica Fridrich

Binghamton University

Publications: 67

Weiming Zhang

Weiming Zhang

University of Science and Technology of China

Publications: 59

Chin-Chen Chang

Chin-Chen Chang

Feng Chia University

Publications: 50

Yao Zhao

Yao Zhao

Beijing Jiaotong University

Publications: 44

Xinpeng Zhang

Xinpeng Zhang

Shanghai University

Publications: 40

Jeng-Shyang Pan

Jeng-Shyang Pan

Shandong University of Science and Technology

Publications: 38

Nenghai Yu

Nenghai Yu

University of Science and Technology of China

Publications: 30

Hyoung Joong Kim

Hyoung Joong Kim

Korea University

Publications: 25

Tieniu Tan

Tieniu Tan

Chinese Academy of Sciences

Publications: 23

Alex C. Kot

Alex C. Kot

Nanyang Technological University

Publications: 21

Andrew H. Sung

Andrew H. Sung

University of Southern Mississippi

Publications: 21

Yehoshua Y. Zeevi

Yehoshua Y. Zeevi

Technion – Israel Institute of Technology

Publications: 18

Frank Y. Shih

Frank Y. Shih

New Jersey Institute of Technology

Publications: 17

Mauro Barni

Mauro Barni

University of Siena

Publications: 17

Something went wrong. Please try again later.