Awesome AI for Science
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Charles Siegel — most-cited papers & profile · AI for Science
← authors
·
overview
Charles Siegel
4
papers ·
182
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models
2017 · 109 citations
SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for Predicting Chemical Properties
2017 · 63 citations
How Much Chemistry Does a Deep Neural Network Need to Know to Make Accurate Predictions?
2017 · 5 citations
Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction
2017 · 5 citations
Top co-authors
Abhinav Vishnu
· 4
Garrett B. Goh
· 4
Nathan O. Hodas
· 4
Nathan Baker
· 2
Topics
Chemistry
Drug Discovery
Materials