Learning Optimization

Learning Optimization is a prescriptive analytics method that systematically enhances training outcomes by identifying and implementing data-driven interventions to improve the efficiency, effectiveness, and adaptability of learning processes within human resource development.

40

Publications

1.9K

Citations

139

Authors

74

Institutions

Publications per year

2017–2026

26

Authors

139

  1. QY
    Qian Yang

    Xihua University, China

    2 publications · 72 citations

    2

    h-index

  2. MF
    Minrui Fei

    Shanghai University, China

    2 publications · 91 citations

    2

    h-index

  3. HH
    Heng Huang

    The University of Texas at Arlington, United States

    2 publications · 72 citations

    2

    h-index

  4. PM
    Pãnos M. Pardalos

    University of Florida, United States

    2 publications · 91 citations

    2

    h-index

  5. LW
    Ling Wang

    Tsinghua University, China

    2 publications · 91 citations

    2

    h-index

1–5 of 139

Venues

  1. Information Sciences

    3 publications · 431 citations

    3

    h-index

  2. Knowledge-Based Systems

    1 publications · 37 citations

    1

    h-index

  3. Expert Systems with Applications

    1 publications · 54 citations

    1

    h-index

  4. Journal of Software Engineering and Applications

    JSEA · 1 publications · 18 citations

    1

    h-index

  5. IEEE Access

    1 publications · 17 citations

    1

    h-index

1–5