H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 82 Citations 26,268 1,020 World Ranking 400 National Ranking 2

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Algorithm
  • Operating system

Artificial intelligence, Computer vision, Algorithm, Steganography and Information hiding are his primary areas of study. His biological study deals with issues like Pattern recognition, which deal with fields such as Feature and Similarity. Chin-Chen Chang usually deals with Computer vision and limits it to topics linked to Cryptography and Encryption, Computer network, Access control and Color image.

His Algorithm research includes elements of Scheme, Data mining and Value. His Steganography research includes themes of Cover, Image segmentation, Theoretical computer science and Grayscale. As a part of the same scientific family, he mostly works in the field of Information hiding, focusing on Lossless compression and, on occasion, Sobel operator.

His most cited work include:

  • Reversible Data Hiding Based on Histogram Modification of Pixel Differences (444 citations)
  • A steganographic method based upon JPEG and quantization table modification (320 citations)
  • Finding optimal least-significant-bit substitution in image hiding by dynamic programming strategy (317 citations)

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

The scientist’s investigation covers issues in Artificial intelligence, Algorithm, Computer vision, Computer security and Scheme. His Artificial intelligence study frequently draws parallels with other fields, such as Pattern recognition. His work carried out in the field of Algorithm brings together such families of science as Information hiding, Block, Data mining and Data compression ratio.

As part of one scientific family, Chin-Chen Chang deals mainly with the area of Information hiding, narrowing it down to issues related to the Steganography, and often Cover. His Computer security study frequently draws connections to adjacent fields such as Computer network. In his research, Secret sharing and Hash function is intimately related to Theoretical computer science, which falls under the overarching field of Scheme.

He most often published in these fields:

  • Artificial intelligence (34.83%)
  • Algorithm (27.49%)
  • Computer vision (26.18%)

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

  • Artificial intelligence (34.83%)
  • Information hiding (19.46%)
  • Algorithm (27.49%)

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

His primary areas of study are Artificial intelligence, Information hiding, Algorithm, Image and Scheme. Chin-Chen Chang interconnects Computer vision and Pattern recognition in the investigation of issues within Artificial intelligence. His study explores the link between Computer vision and topics such as Cover that cross with problems in Secret sharing.

Chin-Chen Chang has researched Information hiding in several fields, including Image quality, Pixel, Encryption and Steganography. His Algorithm research focuses on Block Truncation Coding and how it relates to Bitmap. Chin-Chen Chang has included themes like Theoretical computer science, Computer security, Authentication, Code and Error detection and correction in his Scheme study.

Between 2015 and 2021, his most popular works were:

  • A Provably Secure, Efficient, and Flexible Authentication Scheme for Ad hoc Wireless Sensor Networks (149 citations)
  • Dynamic-Hash-Table Based Public Auditing for Secure Cloud Storage (101 citations)
  • Blockchain based searchable encryption for electronic health record sharing (82 citations)

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

  • Artificial intelligence
  • Algorithm
  • Operating system

Chin-Chen Chang mainly focuses on Algorithm, Information hiding, Scheme, Artificial intelligence and Image. Chin-Chen Chang combines subjects such as Theoretical computer science, Pixel, Embedding, Steganography and Matrix with his study of Algorithm. His Information hiding research also works with subjects such as

  • Image quality which intersects with area such as Discrete wavelet transform,
  • Encryption which connect with Key and Data mining.

His Scheme study incorporates themes from Computer security and Authentication. His studies deal with areas such as Payload, Host, Computer vision and Pattern recognition as well as Artificial intelligence. His research integrates issues of Distortion, Iterative reconstruction and Permutation in his study of Image.

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 Data Hiding Based on Histogram Modification of Pixel Differences

W. L. Tai;C. M. Yeh;C. C. Chang.
IEEE Transactions on Circuits and Systems for Video Technology (2009)

525 Citations

Remote password authentication with smart cards

Chin-Chen Chang;Tzong-Chen Wu.
IEE Proceedings E Computers and Digital Techniques (1991)

458 Citations

SVD-based digital image watermarking scheme

Chin-Chen Chang;Piyu Tsai;Chia-Chen Lin.
Pattern Recognition Letters (2005)

445 Citations

A steganographic method based upon JPEG and quantization table modification

Chin-Chen Chang;Tung-Shou Chen;Lou-Zo Chung.
conference on multimedia computing and networking (2002)

443 Citations

Multilevel reversible data hiding based on histogram modification of difference images

Chia-Chen Lin;Wei-Liang Tai;Chin-Chen Chang.
Pattern Recognition (2008)

432 Citations

Finding optimal least-significant-bit substitution in image hiding by dynamic programming strategy

Chin Chen Chang;Ju-Yuan Hsiao;Chi Shiang Chan.
Pattern Recognition (2003)

419 Citations

Reversible hiding in DCT-based compressed images

Chin-Chen Chang;Chia-Chen Lin;Chun-Sen Tseng;Wei-Liang Tai.
Information Sciences (2007)

374 Citations

A new encryption algorithm for image cryptosystems

Chin-Chen Chang;Min-Shian Hwang;Tung-Shou Chen.
Journal of Systems and Software (2001)

368 Citations

A steganographic method for digital images using side match

Chin-Chen Chang;Hsien-Wen Tseng.
Pattern Recognition Letters (2004)

324 Citations

A virtual image cryptosystem based upon vector quantization

Tung-Shou Chen;Chin-Chen Chang;Min-Shiang Hwang.
IEEE Transactions on Image Processing (1998)

284 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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