What is he best known for?
The fields of study he is best known for:
- Computer network
- Statistics
- Algorithm
The scientist’s investigation covers issues in Linear network coding, Theoretical computer science, Coding theory, Discrete mathematics and Information theory.
The Linear network coding study combines topics in areas such as Cryptography and Multicast.
The study incorporates disciplines such as Diversity coding, Shannon–Fano coding, Secret sharing, Network simulation and Node in addition to Theoretical computer science.
Raymond W. Yeung has researched Information theory in several fields, including Entropy, Entropy and Information diagram.
Raymond W. Yeung studies Computer network, focusing on Telecommunications network in particular.
His study looks at the relationship between Telecommunications network and topics such as Code rate, which overlap with Variable-length code.
His most cited work include:
- Network information flow (7321 citations)
- Linear network coding (3397 citations)
- Information Theory and Network Coding (680 citations)
What are the main themes of his work throughout his whole career to date?
Raymond W. Yeung mainly focuses on Linear network coding, Discrete mathematics, Theoretical computer science, Decoding methods and Computer network.
Raymond W. Yeung combines subjects such as Code rate, Communication channel, Telecommunications network, Multicast and Upper and lower bounds with his study of Linear network coding.
Raymond W. Yeung interconnects Probability distribution, Random variable, Combinatorics, Information theory and Markov chain in the investigation of issues within Discrete mathematics.
Raymond W. Yeung has included themes like Diversity coding, Coding, Variable-length code and Node in his Theoretical computer science study.
His research in Decoding methods intersects with topics in Entropy and Encoder.
His study in Computer network is interdisciplinary in nature, drawing from both Wireless and Distributed computing.
He most often published in these fields:
- Linear network coding (38.64%)
- Discrete mathematics (26.82%)
- Theoretical computer science (21.36%)
What were the highlights of his more recent work (between 2017-2021)?
- Linear network coding (38.64%)
- Upper and lower bounds (15.45%)
- Theoretical computer science (21.36%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Linear network coding, Upper and lower bounds, Theoretical computer science, Diversity coding and Code rate.
His Linear network coding study is focused on Computer network in general.
His Upper and lower bounds study incorporates themes from Discrete mathematics, Network topology, Error detection and correction and Telecommunications network.
His studies deal with areas such as Dimension, Encoding, Communication channel, Node and Polynomial as well as Theoretical computer science.
The concepts of his Diversity coding study are interwoven with issues in Secrecy and Encryption.
Raymond W. Yeung studied Code rate and Security level that intersect with Kernel.
Between 2017 and 2021, his most popular works were:
- Finite-Length Analysis of BATS Codes (9 citations)
- Alphabet Size Reduction for Secure Network Coding: A Graph Theoretic Approach (8 citations)
- Weakly Secure Symmetric Multilevel Diversity Coding (6 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Statistics
- Algebra
Linear network coding, Decoding methods, Theoretical computer science, Diversity coding and Upper and lower bounds are his primary areas of study.
His Linear network coding study combines Computer network and Network packet studies.
His Computer network study combines topics in areas such as Wireless network and The Internet.
His research investigates the connection between Theoretical computer science and topics such as Communication channel that intersect with problems in Computation.
His Diversity coding research incorporates elements of Discrete mathematics, Code rate, Secrecy, Finite set and Entropy.
Raymond W. Yeung works mostly in the field of Upper and lower bounds, limiting it down to concerns involving Network topology and, occasionally, Topology, Computational complexity theory, Channel code and Telecommunications network.
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