Matrix Optimization

Matrix Optimization is a computational methodology within the field of substitution matrices that involves the systematic refinement of matrix parameters to maximize alignment accuracy and biological relevance in sequence comparison tasks.

253

Publications

14K

Citations

697

Authors

323

Institutions

Publications per year

2017–2026

80

Authors

697

  1. SM
    Shaodan Ma

    University of Macau, Macao SAR China

    5 publications · 361 citations

    5

    h-index

  2. YX
    Youshen Xia

    Fuzhou University, China

    4 publications · 71 citations

    4

    h-index

  3. SW
    Shuai Wang

    Beijing Institute of Technology, China

    4 publications · 115 citations

    4

    h-index

  4. CX
    Chengwen Xing

    Beijing Institute of Technology, China

    4 publications · 241 citations

    4

    h-index

  5. OC
    O.L.V. Costa

    Universidade de São Paulo, Brazil

    4 publications · 248 citations

    4

    h-index

1–5 of 697

Venues

  1. IEEE Transactions on Signal Processing

    10 publications · 1K citations

    10

    h-index

  2. arXiv (Cornell University)

    Repository · 8 publications · 149 citations

    8

    h-index

  3. IEEE Transactions on Automatic Control

    6 publications · 1.1K citations

    6

    h-index

  4. IEEE Transactions on Wireless Communications

    6 publications · 378 citations

    6

    h-index

  5. Bioinformatics

    5 publications · 785 citations

    5

    h-index

1–5