Naozumi Hiranuma

Molecular Biology · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 57 citations into it
• Materials Chemistry — 38 citations into it

Whom Naozumi Hiranuma trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Hahnbeom Park
2. W. Kabsch
3. Kaiming He
4. Valerio Mariani
5. Jianyi Yang
6. Patrick Conway
7. Michael Feig
8. David Baker
9. Adam T. Zemla
10. Frank DiMaio

Who trusts Naozumi Hiranuma overall

1. Sohee Kwon
2. Xiaogen Zhou

Papers from Naozumi Hiranuma's perspective

Ordered by how strongly the researchers Naozumi Hiranuma trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Going deeper with convolutions
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Improved protein structure refinement guided by deep learning based accuracy estimation (2020) — 230 citations
• Protein tertiary structure prediction and refinement using deep learning and Rosetta in CASP14 (2021) — 47 citations