π Stacking

Stacking is an ensemble method in predictive modeling that combines the predictions of multiple base models using a meta-model to learn the optimal way of integrating their individual outputs, thereby improving overall predictive performance.

1.2K

Publications

70.3K

Citations

5.8K

Authors

1.3K

Institutions

Publications per year

2017–2026

516

Authors

5.8K

  1. MD
    Mark D. Smith

    University of South Carolina, United States

    13 publications · 490 citations

    12

    h-index

  2. AF
    Antonio Frontera

    Universitat de les Illes Balears, Spain

    10 publications · 424 citations

    10

    h-index

  3. VW
    Vivian Wing‐Wah Yam

    University of Hong Kong, Hong Kong SAR China

    10 publications · 310 citations

    10

    h-index

  4. DL
    Daniel L. Reger

    University of South Carolina, United States

    11 publications · 430 citations

    10

    h-index

  5. SS
    Shu Seki

    The University of Osaka, Japan

    8 publications · 414 citations

    8

    h-index

1–5 of 5.8K

Venues

  1. Journal of the American Chemical Society

    JACS · 74 publications · 9.8K citations

    55

    h-index

  2. Angewandte Chemie International Edition

    68 publications · 6K citations

    44

    h-index

  3. Chemical Communications

    ChemComm · 41 publications · 1.9K citations

    28

    h-index

  4. Crystal Growth & Design

    40 publications · 1.9K citations

    26

    h-index

  5. ACS Applied Materials & Interfaces

    37 publications · 2.3K citations

    26

    h-index

1–5