H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 55 Citations 10,806 424 World Ranking 2121 National Ranking 205

Research.com Recognitions

Awards & Achievements

2021 - IEEE Fellow For contributions to analysis of chaotic communications systems and low-density parity-check code design

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • Operating system
  • Artificial intelligence

The scientist’s investigation covers issues in Computer network, Distributed computing, Electronic engineering, Cloud computing and Algorithm. His research in Distributed computing intersects with topics in Routing, Schedule, Approximation algorithm, Static routing and Scheduling. His work deals with themes such as Chaos communications, Fading, Chaotic, Decoding methods and Communications system, which intersect with Electronic engineering.

His work carried out in the field of Fading brings together such families of science as Channel state information and Topology. His research integrates issues of Scalability, Algorithm design, Provisioning, Server and Online algorithm in his study of Cloud computing. His studies in Algorithm integrate themes in fields like Network topology and Asynchronous communication.

His most cited work include:

  • A C-LSTM Neural Network for Text Classification (339 citations)
  • Chaos-based digital communication systems (263 citations)
  • Load Balancing in Parallel Computers: Theory and Practice (227 citations)

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

His primary areas of study are Computer network, Algorithm, Distributed computing, Electronic engineering and Decoding methods. His Computer network study frequently links to adjacent areas such as Throughput. His Algorithm research is multidisciplinary, incorporating perspectives in Additive white Gaussian noise, Communication channel, Theoretical computer science and Code.

His Distributed computing study integrates concerns from other disciplines, such as Scalability, Link-state routing protocol, Network topology, Static routing and Cloud computing. His Electronic engineering study combines topics in areas such as Chaotic, Bit error rate, Modulation and Communications system. His studies deal with areas such as Block code, Concatenated error correction code and Turbo code as well as Low-density parity-check code.

He most often published in these fields:

  • Computer network (18.40%)
  • Algorithm (17.97%)
  • Distributed computing (14.69%)

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

  • Algorithm (17.97%)
  • Decoding methods (10.41%)
  • Low-density parity-check code (10.41%)

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

His main research concerns Algorithm, Decoding methods, Low-density parity-check code, Computer network and Communication channel. His Algorithm research incorporates elements of Asynchronous communication, Modulation and Code. His study in Low-density parity-check code is interdisciplinary in nature, drawing from both Wireless, Information transfer, Computer engineering, Hadamard transform and Type.

His Computer network research is multidisciplinary, relying on both Cognitive radio, Scalability, Cloud computing and Distributed computing. In his study, Measure is strongly linked to Online algorithm, which falls under the umbrella field of Distributed computing. The various areas that he examines in his Server study include Algorithm design, Provisioning and Scheduling.

Between 2016 and 2021, his most popular works were:

  • Online job dispatching and scheduling in edge-clouds (140 citations)
  • Orchestrating Bulk Data Transfers across Geo-Distributed Datacenters (61 citations)
  • Outage-Limit-Approaching Channel Coding for Future Wireless Communications: Root-Protograph Low-Density Parity-Check Codes (48 citations)

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

  • Computer network
  • Operating system
  • Artificial intelligence

His primary scientific interests are in Distributed computing, Computer network, Cloud computing, Algorithm and Decoding methods. The study incorporates disciplines such as Node, Energy expenditure and Server in addition to Distributed computing. The Network performance research Francis C. M. Lau does as part of his general Computer network study is frequently linked to other disciplines of science, such as Beijing, therefore creating a link between diverse domains of science.

He has researched Cloud computing in several fields, including Smoothed analysis, Provisioning, Approximation algorithm and Optimal mechanism. His Algorithm study combines topics from a wide range of disciplines, such as Single antenna interference cancellation, Bit error rate, Modulation and Duplex. His Decoding methods research incorporates themes from Binary erasure channel, Symbol and Arithmetic.

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 C-LSTM Neural Network for Text Classification

Chunting Zhou;Chonglin Sun;Zhiyuan Liu;Francis C. M. Lau.
arXiv: Computation and Language (2015)

518 Citations

Load Balancing in Parallel Computers: Theory and Practice

Chengzhong Xu;Francis C. Lau.
(1996)

402 Citations

Chaos-based digital communication systems

Wai M. Tam;Francis C.M. Lau;Chi K. Tse.
Digital Communications with Chaos#R##N#Multiple Access Techniques and Performance (2003)

381 Citations

A context-aware decision engine for content adaptation

Wai Yip Lum;F.C.M. Lau.
IEEE Pervasive Computing (2002)

334 Citations

A network perspective of the stock market

Chi K. Tse;Jing Liu;Jing Liu;Francis C.M. Lau.
Journal of Empirical Finance (2010)

275 Citations

Minimizing average interference through topology control

Tiancheng Lou;Haisheng Tan;Yuexuan Wang;Francis C. M. Lau.
ad hoc networks (2011)

236 Citations

Method and system for providing tamper-resistant software

Michael Lee;Frank Tong;Francis Lau.
(2004)

217 Citations

JESSICA2: a distributed Java Virtual Machine with transparent thread migration support

Wenzhang Zhu;Cho-Li Wang;F.C.M. Lau.
international conference on cluster computing (2002)

216 Citations

An Online Auction Framework for Dynamic Resource Provisioning in Cloud Computing

Weijie Shi;Linquan Zhang;Chuan Wu;Zongpeng Li.
IEEE ACM Transactions on Networking (2016)

210 Citations

Scaling social media applications into geo-distributed clouds

Yu Wu;Chuan Wu;Bo Li;Linquan Zhang.
international conference on computer communications (2015)

185 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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