D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 53 Citations 23,067 383 World Ranking 3094 National Ranking 306

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Artificial intelligence
  • The Internet

Siu-Ming Yiu spends much of his time researching Computer security, Genome, Data mining, Genetics and Sequence assembly. His Computer security research includes themes of Verifiable secret sharing and Digital signature. His Genome study frequently draws connections between related disciplines such as Computational biology.

His biological study spans a wide range of topics, including Pattern matching, Short read, splice, Search engine indexing and Splice junction. His work on Sequence assembly is being expanded to include thematically relevant topics such as Parallel computing. His research integrates issues of Metagenomics, Error detection and correction and Genomics in his study of Contig.

His most cited work include:

  • SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler (3123 citations)
  • SOAP2: an improved ultrafast tool for short read alignment. (2900 citations)
  • IDBA-UD (1704 citations)

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

His main research concerns Computer security, Encryption, Algorithm, Data mining and Artificial intelligence. His Computer security research is multidisciplinary, incorporating elements of Scheme and Computer network. His research ties Vehicular ad hoc network and Computer network together.

His Encryption study combines topics from a wide range of disciplines, such as Cloud computing, Server and Theoretical computer science. Siu-Ming Yiu combines subjects such as Genome and Protein secondary structure with his study of Algorithm. The study incorporates disciplines such as Identification, Machine learning and Pattern recognition in addition to Artificial intelligence.

He most often published in these fields:

  • Computer security (29.55%)
  • Encryption (14.39%)
  • Algorithm (13.38%)

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

  • Artificial intelligence (11.36%)
  • Computer security (29.55%)
  • Encryption (14.39%)

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

Siu-Ming Yiu mainly focuses on Artificial intelligence, Computer security, Encryption, Machine learning and Cloud computing. His research investigates the connection between Computer security and topics such as Scheme that intersect with issues in Big data and Theoretical computer science. His Encryption research is multidisciplinary, relying on both Data mining and Server.

Siu-Ming Yiu works mostly in the field of Data mining, limiting it down to topics relating to Support vector machine and, in certain cases, Industrial control system. Siu-Ming Yiu interconnects Adversarial system and Set in the investigation of issues within Machine learning. His Cloud computing research incorporates elements of Distributed database, Cryptography, Cluster analysis, Information privacy and Computer security model.

Between 2016 and 2021, his most popular works were:

  • Multi-key privacy-preserving deep learning in cloud computing (218 citations)
  • An Efficient Flicker-Free FEC Coding Scheme for Dimmable Visible Light Communication Based on Polar Codes (161 citations)
  • Metamorphic Testing: A New Approach for Generating Next Test Cases. (105 citations)

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

  • Artificial intelligence
  • Operating system
  • The Internet

Siu-Ming Yiu spends much of his time researching Artificial intelligence, Encryption, Computer security, Machine learning and Cloud computing. His Artificial intelligence study incorporates themes from Structure, Software, Pattern recognition and Identification. Data mining and Protocol is closely connected to Information privacy in his research, which is encompassed under the umbrella topic of Encryption.

His research in Data mining intersects with topics in Classifier and PubChem. Siu-Ming Yiu frequently studies issues relating to Event and Computer security. His work carried out in the field of Cloud computing brings together such families of science as Computer network, Server and Cryptography.

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.

Best Publications

SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler

Ruibang Luo;Binghang Liu;Yinlong Xie;Yinlong Xie;Zhenyu Li.
GigaScience (2012)

4265 Citations

SOAP2: an improved ultrafast tool for short read alignment.

Ruiqiang Li;Chang Yu;Yingrui Li;Tak Wah Lam.
Bioinformatics (2009)

3835 Citations

IDBA-UD

Yu Peng;Henry C. M. Leung;S. M. Yiu;Francis Y. L. Chin.
Bioinformatics (2012)

3201 Citations

The sequence and de novo assembly of the giant panda genome

Ruiqiang Li;Wei Fan;Geng Tian;Hongmei Zhu.
Nature (2010)

1299 Citations

Assemblathon 2: evaluating de novo methods of genome assembly in three vertebrate species

Keith R. Bradnam;Joseph N. Fass;Anton Alexandrov;Paul Baranay.
GigaScience (2013)

723 Citations

Assemblathon 2: evaluating de novo methods of genome assembly in three vertebrate species

Keith R. Bradnam;Joseph N. Fass;Anton Alexandrov;Paul Baranay.
arXiv: Genomics (2013)

697 Citations

Meta-IDBA

Yu Peng;Henry C. M. Leung;S. M. Yiu;Francis Y. L. Chin.
intelligent systems in molecular biology (2011)

400 Citations

SOAP3-dp: Fast, Accurate and Sensitive GPU-based Short Read Aligner

Ruibang Luo;Thomas Kf Wong;Jianqiao Zhu;Jianqiao Zhu;Chi-Man Liu.
PLOS ONE (2013)

388 Citations

Multi-key privacy-preserving deep learning in cloud computing

Ping Li;Jin Li;Zhengan Huang;Tong Li.
Future Generation Computer Systems (2017)

359 Citations

IDBA: a practical iterative de bruijn graph de novo assembler

Yu Peng;Henry C. M. Leung;S. M. Yiu;Francis Y. L. Chin.
research in computational molecular biology (2010)

334 Citations

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