H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 47 Citations 7,564 88 World Ranking 3248 National Ranking 301

Overview

What is he best known for?

The fields of study he is best known for:

  • Algorithm
  • Cryptography
  • Artificial intelligence

Kwok-Wo Wong mainly focuses on Algorithm, Encryption, Cryptography, Cryptosystem and Theoretical computer science. His studies in Algorithm integrate themes in fields like Hash function and Chaotic map. His Encryption research integrates issues from Pixel and Image.

His Cryptography study combines topics in areas such as Lag and Chaotic. His study focuses on the intersection of Theoretical computer science and fields such as Plaintext-aware encryption with connections in the field of Stream cipher. The Probabilistic encryption study which covers Multiple encryption that intersects with Computer vision and Artificial intelligence.

His most cited work include:

  • A chaos-based symmetric image encryption scheme using a bit-level permutation (457 citations)
  • A new chaos-based fast image encryption algorithm (429 citations)
  • A fast image encryption scheme based on chaotic standard map (351 citations)

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

His main research concerns Algorithm, Encryption, Theoretical computer science, Cryptography and Cryptosystem. Kwok-Wo Wong combines subjects such as Chaotic, Hash function and Cipher with his study of Algorithm. Kwok-Wo Wong has included themes like Image, Key and Permutation in his Encryption study.

His research in Theoretical computer science intersects with topics in Watermarking attack, Plaintext-aware encryption, Deterministic encryption, Cryptanalysis and Plaintext. His biological study spans a wide range of topics, including Discrete mathematics, Artificial intelligence, Computer vision and Nonlinear system. His research integrates issues of Multiple encryption and Disk encryption theory in his study of Probabilistic encryption.

He most often published in these fields:

  • Algorithm (45.76%)
  • Encryption (37.29%)
  • Theoretical computer science (35.59%)

What were the highlights of his more recent work (between 2013-2018)?

  • Encryption (37.29%)
  • Algorithm (45.76%)
  • Cryptography (25.42%)

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

Kwok-Wo Wong mostly deals with Encryption, Algorithm, Cryptography, Theoretical computer science and Cipher. His Encryption research is multidisciplinary, incorporating elements of Image, Key, Arithmetic coding and Chaotic. His study ties his expertise on Nonlinear system together with the subject of Algorithm.

The various areas that Kwok-Wo Wong examines in his Cryptography study include Discrete mathematics, Prime, Integer, Combinatorics and Symmetric-key algorithm. His Theoretical computer science research is multidisciplinary, incorporating perspectives in Watermarking attack, Plaintext, Ciphertext-only attack, Block cipher and Cryptosystem. His study explores the link between Plaintext and topics such as Probabilistic encryption that cross with problems in 40-bit encryption and Multiple encryption.

Between 2013 and 2018, his most popular works were:

  • A chaotic image encryption scheme owning temp-value feedback (88 citations)
  • Embedding cryptographic features in compressive sensing (74 citations)
  • On the Security of a Class of Diffusion Mechanisms for Image Encryption (61 citations)

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

  • Algorithm
  • Cryptography
  • Artificial intelligence

Kwok-Wo Wong mainly investigates Encryption, Theoretical computer science, Cryptography, Cipher and Algorithm. Plaintext and Probabilistic encryption are the subjects of his Encryption studies. His Theoretical computer science study often links to related topics such as Cryptosystem.

His work deals with themes such as Key and Symmetric-key algorithm, which intersect with Cryptography. The Cipher study combines topics in areas such as Ciphertext and Logistic map, Chaotic, Key space. His study in Algorithm is interdisciplinary in nature, drawing from both Random permutation and Permutation.

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

A chaos-based symmetric image encryption scheme using a bit-level permutation

Zhi-liang Zhu;Wei Zhang;Kwok-wo Wong;Hai Yu.
Information Sciences (2011)

634 Citations

A new chaos-based fast image encryption algorithm

Yong Wang;Kwok-Wo Wong;Xiaofeng Liao;Guanrong Chen.
Applied Soft Computing (2011)

543 Citations

A fast image encryption scheme based on chaotic standard map

Kwok-Wo Wong;Bernie Sin-Hung Kwok;Wing-Shing Law.
Physics Letters A (2008)

533 Citations

A chaos-based image encryption algorithm with variable control parameters

Yong Wang;Yong Wang;Kwok-Wo Wong;Xiaofeng Liao;Tao Xiang.
Chaos Solitons & Fractals (2009)

307 Citations

Chaotic lag synchronization of coupled time-delayed systems and its applications in secure communication

Chuandong Li;Xiaofeng Liao;Kwok-wo Wong.
Physica D: Nonlinear Phenomena (2004)

279 Citations

A combined chaotic cryptographic and hashing scheme

Kwok-Wo Wong.
Physics Letters A (2003)

272 Citations

Novel robust stability criteria for interval-delayed Hopfield neural networks

Xiaofeng Liao;Kwok-Wo Wong;Zhongfu Wu;Guanrong Chen.
IEEE Transactions on Circuits and Systems I-regular Papers (2001)

266 Citations

A novel block cryptosystem based on iterating a chaotic map

Tao Xiang;Xiaofeng Liao;Guoping Tang;Guoping Tang;Yong Chen.
Physics Letters A (2006)

250 Citations

Lag synchronization of hyperchaos with application to secure communications

Chuandong Li;Xiaofeng Liao;Kwok-wo Wong.
Chaos Solitons & Fractals (2005)

240 Citations

An improved particle swarm optimization algorithm combined with piecewise linear chaotic map

Tao Xiang;Xiaofeng Liao;Kwok-wo Wong.
Applied Mathematics and Computation (2007)

238 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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