Yutaka Okabe

Yutaka Okabe

Tokyo Metropolitan University

H-index: 37

Asia-Japan

About Yutaka Okabe

Yutaka Okabe, With an exceptional h-index of 37 and a recent h-index of 14 (since 2020), a distinguished researcher at Tokyo Metropolitan University, specializes in the field of Physics, Statistical Physics, Computational Physics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Ising model on the aperiodic Smith hat

Comprehensive studies on the universality of BKT transitions—machine-learning study, Monte Carlo simulation, and level-spectroscopy method

Spread of variants of epidemic disease based on the microscopic numerical simulations on networks

Super-resolution of spin configurations based on flow-based generative models

Weakly-supervised learning on Schrodinger equation

Inverse renormalization group based on image super-resolution using deep convolutional networks

Microscopic numerical simulations of epidemic models on networks

Two-size probability-changing cluster algorithm

Yutaka Okabe Information

University

Position

Professor of Physics Japan

Citations(all)

4665

Citations(since 2020)

771

Cited By

4060

hIndex(all)

37

hIndex(since 2020)

14

i10Index(all)

108

i10Index(since 2020)

22

Email

University Profile Page

Tokyo Metropolitan University

Google Scholar

View Google Scholar Profile

Yutaka Okabe Skills & Research Interests

Physics

Statistical Physics

Computational Physics

Top articles of Yutaka Okabe

Title

Journal

Author(s)

Publication Date

Ising model on the aperiodic Smith hat

Journal of Physics A: Mathematical and Theoretical

Yutaka Okabe

Komajiro Niizeki

Yoshiaki Araki

2024/2/17

Comprehensive studies on the universality of BKT transitions—machine-learning study, Monte Carlo simulation, and level-spectroscopy method

Journal of Physics A: Mathematical and Theoretical

Hiromi Otsuka

Kenta Shiina

Yutaka Okabe

2023/5/16

Spread of variants of epidemic disease based on the microscopic numerical simulations on networks

Scientific reports

Yutaka Okabe

Akira Shudo

2022/1/11

Super-resolution of spin configurations based on flow-based generative models

arXiv preprint arXiv:2108.11494

Kenta Shiina

Lee Hwee Kuan

Hiroyuki Mori

Yutaka Okabe

Yusuke Tomita

2021/8/25

Weakly-supervised learning on Schrodinger equation

arXiv preprint arXiv:2106.12094

Kenta Shiina

Hwee Kuan Lee

Yutaka Okabe

Hiroyuki Mori

2021/6/22

Inverse renormalization group based on image super-resolution using deep convolutional networks

Scientific Reports

Kenta Shiina

Hiroyuki Mori

Yusuke Tomita

Hwee Kuan Lee

Yutaka Okabe

2021/5/5

Microscopic numerical simulations of epidemic models on networks

Mathematics

Yutaka Okabe

Akira Shudo

2021/4/22

Two-size probability-changing cluster algorithm

Journal of Physics A: Mathematical and Theoretical

Tasrief Surungan

Yutaka Okabe

2020/11/23

Machine-learning study using improved correlation configuration and application to quantum Monte Carlo simulation

Physical Review E

Yusuke Tomita

Kenta Shiina

Yutaka Okabe

Hwee Kuan Lee

2020/8/12

A mathematical model of epidemics—a tutorial for students

Yutaka Okabe

Akira Shudo

2020/7/17

Machine-learning studies on spin models

Scientific reports

Kenta Shiina

Hiroyuki Mori

Yutaka Okabe

Hwee Kuan Lee

2020/2/7

See List of Professors in Yutaka Okabe University(Tokyo Metropolitan University)