Ryo Yoshida - Concepedia

Author

Ryo Yoshida

The Institute of Statistical Mathematics ORCID

Also Known As

R. Yoshida, RYO YOSHIDA, Rika Yoshida, Ryo Yoshida, Yoshida, Ryo

137

Publications

2.8K

Citations

H-Index

102

Concepts

All Affiliations

The Institute of Statistical Mathematics Research Organization of Information and Systems The University of Tokyo The Graduate University for Advanced Studies, SOKENDAI National Institute for Materials Science

About

Ryo Yoshida is an author at The Institute of Statistical Mathematics specializing in engineering, machine learning, and biostatistics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	16	19	1.5K
2	Medicine	5	5	186
3	Public Health	4	4	151
4	Natural Sciences	3	3	66
5	Applied Physics	3	3	90

Ryo Yoshida

Publications

2.6K

Citations

H-Index

Page 1

	Year	Citations
Machine-learning-assisted discovery of polymers with high thermal conductivity using a molecular design algorithm Stephen Wu, Yukiko Kondo, Masa‐aki Kakimoto, npj Computational Materials Molecular Design AlgorithmEngineeringMachine LearningResponsive PolymersComputational Chemistry	2019	473
Predicting Materials Properties with Little Data Using Shotgun Transfer Learning H. Yamada, Chang Liu, Stephen Wu, ACS Central Science Artificial IntelligenceEngineeringMachine LearningMachine Learning ToolData Science	2019	369
Epidermal Growth Factor Receptor Tyrosine Kinase Defines Critical Prognostic Genes of Stage I Lung Adenocarcinoma Mai Yamauchi, Rui Yamaguchi, Asuka Nakata, PLoS ONE	2012	219
Bayesian molecular design with a chemical language model Hisaki Ikebata, Kenta Hongo, Tetsu Isomura, Journal of Computer-Aided Molecular Design	2017	153
Self‐oscillating swelling and deswelling of polymer gels Ryo Yoshida, Hisao Ichijo, Toshikatsu Hakuta, Macromolecular Rapid Communications EngineeringBiomimetic MaterialsSmart PolymerResponsive PolymersTemperature Sensitive Hydrogels	1995	116
RadonPy: automated physical property calculation using all-atom classical molecular dynamics simulations for polymer informatics Yoshihiro Hayashi, Junichiro Shiomi, Junko Morikawa, npj Computational Materials	2022	110
Statistical inference of transcriptional module-based gene networks from time course gene expression profiles by using state space models Osamu Hirose, Ryo Yoshida, Seiya Imoto, Bioinformatics	2008	94
Machine learning-assisted exploration of thermally conductive polymers based on high-throughput molecular dynamics simulations Ruimin Ma, Hanfeng Zhang, Jiaxin Xu, Materials Today Physics Materials ScienceMachine Learning-assisted ExplorationEngineeringPolymer ScienceApplied Physics	2022	66
Accurate Automatic Detection of Densely Distributed Cell Nuclei in 3D Space Yu Toyoshima, T Tokunaga, Osamu Hirose, PLoS Computational Biology EngineeringMicroscopyBiomedical EngineeringSpatial OmicsImage Analysis	2016	65
Machine Learning to Predict Quasicrystals from Chemical Compositions Chang Liu, Erina Fujita, Yukari Katsura, Advanced Materials	2021	58

Page 1