Standout Papers

An Introductory Review of Deep Learning for Prediction Models With Big Data 2020 2026 2022 2024338
  1. An Introductory Review of Deep Learning for Prediction Models With Big Data (2020)
    Frank Emmert‐Streib, Zhen Yang et al. Frontiers in Artificial Intelligence

Immediate Impact

1 by Nobel laureates 1 from Science/Nature 51 standout
Sub-graph 1 of 24

Citing Papers

Optimization of dried garlic physicochemical properties using a self-organizing map and the development of an artificial intelligence prediction model
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Large language models for reticular chemistry
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2 intermediate papers

Works of Shailesh Tripathi being referenced

An Introductory Review of Deep Learning for Prediction Models With Big Data
2020 Standout

Author Peers

Author Last Decade Papers Cites
Shailesh Tripathi 221 119 39 135 60 906
Yu Chen 200 136 28 204 105 1.0k
Dean Isaacson 55 155 124 193 34 1.0k
Shuai Wang 213 43 369 160 63 902
Vladimir Boginski 67 172 321 108 46 816
Haifeng Du 89 218 303 293 44 1.2k
Jiang Jiang 202 88 78 220 105 1.0k
Francesco Archetti 82 165 33 268 102 1.2k
Xin He 125 202 5 118 66 798
Bo Song 56 78 54 100 68 935
Mihajlo Mesarović 173 109 18 90 48 1.1k

All Works

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2026