Standout Papers

Chemprop: A Machine Learning Package for Chemical Property Prediction 2023 2026 2024196
  1. Chemprop: A Machine Learning Package for Chemical Property Prediction (2023)
    Esther Heid, Kevin P. Greenman et al. Journal of Chemical Information and Modeling

Immediate Impact

4 by Nobel laureates 1 from Science/Nature 24 standout
Sub-graph 1 of 9

Citing Papers

Machine Learning-Assisted High-Donor-Number Electrolyte Additive Screening toward Construction of Dendrite-Free Aqueous Zinc-Ion Batteries
2025 Standout
Large language models for reticular chemistry
2025 StandoutNobel
2 intermediate papers

Works of Shih‐Cheng Li being referenced

Autonomous, multiproperty-driven molecular discovery: From predictions to measurements and back
2023 Science
Chemprop: A Machine Learning Package for Chemical Property Prediction
2023 Standout

Author Peers

Author Last Decade Papers Cites
Shih‐Cheng Li 248 77 188 110 19 447
Natalie S. Eyke 245 32 131 148 8 386
Charles J. McGill 223 18 205 72 10 397
Sebastian Steiner 241 24 97 232 8 490
Riccardo Petraglia 259 16 168 61 10 425
Reza Fareghi Alamdari 222 50 132 56 21 469
Kimberley Cousins 129 50 80 71 17 489
Hyesu Jang 150 24 124 33 11 439
Michał D. Bajczyk 288 32 274 113 9 499
Adam C. Mater 240 18 168 48 6 440
Ana G. Maldonado 143 83 195 77 15 438

All Works

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Rankless by CCL
2026