Standout Papers

Deep learning for molecular design—a review of the state of the art 2019 2026 2021 2023 376
  1. Deep learning for molecular design—a review of the state of the art (2019)
    Daniel C. Elton, Zois Boukouvalas et al. Molecular Systems Design & Engineering

Immediate Impact

4 by Nobel laureates 16 from Science/Nature 62 standout
Sub-graph 1 of 23

Citing Papers

Biodegradable ferroelectric molecular crystal with large piezoelectric response
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2 intermediate papers

Works of Peter W. Chung being referenced

Deep learning for molecular generation and optimization - a review of the state of the art
2019
Deep learning for molecular design—a review of the state of the art
2019 Standout
and 1 more

Author Peers

Author Last Decade Papers Cites
Peter W. Chung 1007 796 207 397 94 1.9k
James R. Kermode 2179 320 452 455 50 2.7k
Stefano Giordano 1415 685 753 163 109 2.6k
Wolfgang H. Müller 1085 970 206 107 210 2.8k
F. Lärché 1813 1095 409 172 41 3.1k
Bingqing Cheng 1208 86 385 318 53 1.9k
Mitchell Wood 1246 314 170 127 44 1.8k
Itzhak Webman 1345 230 663 97 52 2.9k
Einar L. Hinrichsen 410 459 129 64 47 1.9k
Garritt J. Tucker 2699 575 261 148 71 3.1k
Andrei A. Gusev 747 1091 130 124 70 2.7k

All Works

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2026