Predictive Talent Analytics

Predictive Talent Analytics is a computational framework within talent analytics that employs statistical modeling and machine learning techniques to forecast future workforce outcomes by analyzing historical and real-time talent data.

46

Publications

1.8K

Citations

131

Authors

66

Institutions

Publications per year

2017–2026

34

Variants

Predictive Workforce Analytics

Authors

131

  1. HZ
    Hengshu Zhu

    Baidu (China), China

    11 publications · 345 citations

    11

    h-index

  2. HX
    Hui Xiong

    Rutgers, The State University of New Jersey, United States

    8 publications · 286 citations

    8

    h-index

  3. LZ
    Le Zhang

    Baidu (China), China

    4 publications · 131 citations

    4

    h-index

  4. CZ
    Chen Zhu

    University of Science and Technology of China, China

    3 publications · 78 citations

    3

    h-index

  5. CQ
    Chuan Qin

    University of Science and Technology of China, China

    3 publications · 69 citations

    3

    h-index

1–5 of 131

Venues

  1. Procedia Computer Science

    2 publications · 61 citations

    2

    h-index

  2. 1

    h-index

  3. IOP Conference Series Materials Science and Engineering

    Conference · 1 publications · 22 citations

    1

    h-index

  4. 1

    h-index

  5. Journal Of Big Data

    1 publications · 21 citations

    1

    h-index

1–5