Immediate Impact

4 from Science/Nature 55 standout
Sub-graph 1 of 24

Citing Papers

Self-Driving Laboratories for Chemistry and Materials Science
2024 Standout
Unleashing the power of generative AI in drug discovery
2024 Standout
4 intermediate papers

Works of Youngchun Kwon being referenced

Evolutionary design of molecules based on deep learning and a genetic algorithm
2021
Efficient learning of non-autoregressive graph variational autoencoders for molecular graph generation
2019
and 2 more

Author Peers

Author Last Decade Papers Cites
Youngchun Kwon 238 255 183 15 416
Riccardo Petraglia 168 259 127 10 425
Mojtaba Haghighatlari 157 293 170 15 429
Kazuki Yoshizoe 169 212 139 15 409
Kevin P. Greenman 204 249 110 7 397
Shih‐Cheng Li 188 248 102 19 447
Camille Bilodeau 164 189 186 19 416
Charles J. McGill 205 223 124 10 397
Ben McKay 203 122 142 20 486
Adam C. Mater 168 240 123 6 440
Zois Boukouvalas 280 267 184 14 486

All Works

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Rankless by CCL
2026