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Seiji Takeda — most-cited papers & profile · AI for Science
← authors
·
overview
Seiji Takeda
4
papers ·
10
citations ·
40
h-index
Japan Atomic Energy Agency
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Accelerating Material Design with the Generative Toolkit for Scientific Discovery
2022 · 5 citations
Improving Performance Prediction of Electrolyte Formulations with Transformer-based Molecular Representation Model
2024 · 3 citations
MHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural Network
2023 · 2 citations
Improving Molecular Properties Prediction Through Latent Space Fusion
2023
Top co-authors
Akihiro Kishimoto
· 4
Lisa Hamada
· 3
Hajime Shinohara
· 2
Hiroshi Kajino
· 2
Indra Priyadarsini
· 2
Alexy Khrabrov
· 1
and John R. Smith
· 1
Ashish Dave
· 1
Daiju Nakano
· 1
Dean Clarke
· 1
Dimitrios Christofidellis
· 1
Eduardo Soares
· 1
Topics
Chemistry
Drug Discovery
Materials