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Steven Kearnes — most-cited papers & profile · AI for Science
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overview
Steven Kearnes
5
papers ·
2339
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Molecular Graph Convolutions: Moving Beyond Fingerprints
2016 · 1694 citations
Comparing massively-multitask regression algorithms for drug discovery
2026 · 2 citations
Optimization of Molecules via Deep Reinforcement Learning
2018
Machine learning on DNA-encoded libraries: A new paradigm for hit-finding
2020
Top co-authors
and Patrick Riley
· 2
Kevin McCloskey
· 2
Patrick Riley
· 2
Anthony D. Keefe
· 1
Betty Chan
· 1
Chi-Ming Che
· 1
Christelle Huguet
· 1
Christopher D. Hupp
· 1
Christopher J. Mulhern
· 1
Dennis Moccia
· 1
Diana Gikunju
· 1
Eric A. Sigel
· 1
Topics
Drug Discovery
Chemistry
Protein Science