H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology H-index 50 Citations 15,238 175 World Ranking 1506 National Ranking 635

Research.com Recognitions

Awards & Achievements

1980 - IEEE Fellow For contributions to coding theory and engineering education.

Overview

What is he best known for?

The fields of study he is best known for:

  • Quantum mechanics
  • Statistics
  • Algorithm

Shu Lin mostly deals with Block code, Algorithm, Linear code, Concatenated error correction code and Discrete mathematics. Shu Lin interconnects Convolutional code and Probability theory in the investigation of issues within Block code. His Algorithm study combines topics in areas such as Theoretical computer science and Hybrid automatic repeat request.

His study on Space–time trellis code is often connected to Parity as part of broader study in Linear code. His Concatenated error correction code research integrates issues from Low-density parity-check code and Turbo code. His Discrete mathematics study integrates concerns from other disciplines, such as Combinatorics, Reed–Solomon error correction, Expander code, Luby transform code and Reed–Muller code.

His most cited work include:

  • Error control coding : fundamentals and applications (3769 citations)
  • Error Control Coding (1674 citations)
  • Low-density parity-check codes based on finite geometries: a rediscovery and new results (1241 citations)

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

His primary areas of study are Algorithm, Block code, Low-density parity-check code, Linear code and Concatenated error correction code. His research links Theoretical computer science with Algorithm. His Block code research incorporates elements of Discrete mathematics and BCH code.

His study explores the link between Low-density parity-check code and topics such as Cyclic code that cross with problems in Polynomial code. His work is dedicated to discovering how Linear code, Convolutional code are connected with Trellis and other disciplines. His Concatenated error correction code study incorporates themes from Forward error correction, Turbo code and Concatenation.

He most often published in these fields:

  • Algorithm (37.64%)
  • Block code (36.11%)
  • Low-density parity-check code (35.67%)

What were the highlights of his more recent work (between 2016-2021)?

  • Low-density parity-check code (35.67%)
  • Algorithm (37.64%)
  • Decoding methods (27.13%)

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

His scientific interests lie mostly in Low-density parity-check code, Algorithm, Decoding methods, Magnetic field and Discrete mathematics. His Low-density parity-check code research includes elements of Girth, Concatenated error correction code, Reed–Solomon error correction and Parity bit. The study incorporates disciplines such as Forward error correction, Turbo code and Linear code in addition to Concatenated error correction code.

Linear code is a subfield of Block code that Shu Lin explores. Shu Lin works in the field of Algorithm, focusing on Error detection and correction in particular. As part of one scientific family, Shu Lin deals mainly with the area of Decoding methods, narrowing it down to issues related to the Coding, and often Binary number and Fourier transform.

Between 2016 and 2021, his most popular works were:

  • Design of LDPC Codes: A Survey and New Results (90 citations)
  • Two-Level Hierarchical Model-Based Predictive Control for Large-Scale Urban Traffic Networks (46 citations)
  • Mass correction to chiral vortical effect and chiral separation effect (29 citations)

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

  • Quantum mechanics
  • Statistics
  • Computer network

His primary areas of investigation include Low-density parity-check code, Discrete mathematics, Magnetic field, Quantum electrodynamics and Reed–Solomon error correction. Low-density parity-check code is a primary field of his research addressed under Algorithm. His Discrete mathematics research includes themes of Algebraic method, Algebraic number, Superposition principle, Unification and Information theory.

The Magnetic field study combines topics in areas such as Condensed matter physics, Electrical resistivity and conductivity, Conductivity and Electric field. His Reed–Solomon error correction research incorporates themes from Girth, Structure, Sparse matrix and Erasure. His study on Block code is mostly dedicated to connecting different topics, such as Turbo code.

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

Error Control Coding

Shu Lin.
(2004)

10473 Citations

Error control coding : fundamentals and applications

Shu Lin;Daniel J. Costello.
(1983)

4292 Citations

Low-density parity-check codes based on finite geometries: a rediscovery and new results

Y. Kou;S. Lin;M.P.C. Fossorier.
IEEE Transactions on Information Theory (2001)

1775 Citations

Automatic-repeat-request error-control schemes

Shu Lin;D. Costello;M. Miller.
IEEE Communications Magazine (1984)

1380 Citations

Channel Codes: Classical and Modern

William E. Ryan;Shu Lin.
(2009)

1062 Citations

Soft decision decoding of linear block codes based on ordered statistics

M.P.C. Fossorier;Shu Lin.
international symposium on information theory (1994)

729 Citations

Efficient Encoding of Quasi-Cyclic Low-Density Parity-Check Codes

Zongwang Li;Lei Chen;Lingqi Zeng;Shu Lin.
IEEE Transactions on Communications (2005)

638 Citations

A Hybrid ARQ Scheme with Parity Retransmission for Error Control of Satellite Channels

Shu Lin;P. Yu.
IEEE Transactions on Communications (1982)

506 Citations

Two simple stopping criteria for turbo decoding

R.Y. Shao;Shu Lin;M.P.C. Fossorier.
IEEE Transactions on Communications (1999)

470 Citations

Plant information systems, manufacturing capabilities, and plant performance

Rajiv D. Banker;Indranil R. Bardhan;Hsihui Chang;Shu Lin.
Management Information Systems Quarterly (2006)

452 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 Shu Lin

Lajos Hanzo

Lajos Hanzo

University of Southampton

Publications: 87

Marc P. C. Fossorier

Marc P. C. Fossorier

École Nationale Supérieure de l'Électronique et de ses Applications

Publications: 74

Bane Vasic

Bane Vasic

University of Arizona

Publications: 55

Daniel J. Costello

Daniel J. Costello

University of Notre Dame

Publications: 48

Ivan B. Djordjevic

Ivan B. Djordjevic

University of Arizona

Publications: 46

Branka Vucetic

Branka Vucetic

University of Sydney

Publications: 39

Stephen B. Wicker

Stephen B. Wicker

Cornell University

Publications: 38

Marco Chiani

Marco Chiani

University of Bologna

Publications: 37

Simon Litsyn

Simon Litsyn

Tel Aviv University

Publications: 32

Robert H. Deng

Robert H. Deng

Singapore Management University

Publications: 32

Amir H. Banihashemi

Amir H. Banihashemi

Carleton University

Publications: 31

Richard D. Wesel

Richard D. Wesel

University of California, Los Angeles

Publications: 31

Dariush Divsalar

Dariush Divsalar

NASA Jet Propulsion Laboratory

Publications: 30

Tong Zhang

Tong Zhang

Rensselaer Polytechnic Institute

Publications: 29

William E. Ryan

William E. Ryan

University of Arizona

Publications: 29

Something went wrong. Please try again later.