Kei Terayama

About Kei Terayama

Kei Terayama, With an exceptional h-index of 19 and a recent h-index of 19 (since 2020), a distinguished researcher at Yokohama City University, specializes in the field of Machine Learning, Materials Informatics, Cheminformatics, Computational Biology, Computer Vision.

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

Rotifer Detection and Tracking Framework Using Deep Learning for Automatic Culture Systems

Large Language Models Open New Way of AI-Assisted Molecule Design for Chemists

Predicting condensate formation of protein and RNA under various environmental conditions

A framework to predict binary liquidus by combining machine learning and CALPHAD assessments

Individual health-disease phase diagrams for disease prevention based on machine learning

Semantic Segmentation of seafloor images in Philippines based on semi-supervised learning

ChemTSv2: Democratizing Functional Molecular Design Using de novo Molecule Generator

Monitoring of cage-cultured sea cucumbers using an underwater time-lapse camera and deep learning-based image analysis

Kei Terayama Information

University

Position

and RIKEN

Citations(all)

1325

Citations(since 2020)

1286

Cited By

297

hIndex(all)

19

hIndex(since 2020)

19

i10Index(all)

32

i10Index(since 2020)

31

Email

University Profile Page

Google Scholar

Kei Terayama Skills & Research Interests

Machine Learning

Materials Informatics

Cheminformatics

Computational Biology

Computer Vision

Top articles of Kei Terayama

Rotifer Detection and Tracking Framework Using Deep Learning for Automatic Culture Systems

2024/4/29

Naoto Ienaga
Naoto Ienaga

H-Index: 4

Kei Terayama
Kei Terayama

H-Index: 9

Large Language Models Open New Way of AI-Assisted Molecule Design for Chemists

2024/4/22

Kei Terayama
Kei Terayama

H-Index: 9

Predicting condensate formation of protein and RNA under various environmental conditions

BMC bioinformatics

2024/4/2

Yukio Sasaki
Yukio Sasaki

H-Index: 17

Kei Terayama
Kei Terayama

H-Index: 9

A framework to predict binary liquidus by combining machine learning and CALPHAD assessments

Materials & Design

2023/8/1

Kei Terayama
Kei Terayama

H-Index: 9

Individual health-disease phase diagrams for disease prevention based on machine learning

Journal of Biomedical Informatics

2023/8/1

Semantic Segmentation of seafloor images in Philippines based on semi-supervised learning

2023/3/6

ChemTSv2: Democratizing Functional Molecular Design Using de novo Molecule Generator

2023/2/1

Kei Terayama
Kei Terayama

H-Index: 9

Monitoring of cage-cultured sea cucumbers using an underwater time-lapse camera and deep learning-based image analysis

Smart Agricultural Technology

2023/2/1

Kei Terayama
Kei Terayama

H-Index: 9

Quantitative analysis of protein dynamics using a deep learning technique combined with experimental cryo-EM density data and MD simulations

Biophysics and Physicobiology

2023

Kei Terayama
Kei Terayama

H-Index: 9

Design of antimicrobial peptides containing non-proteinogenic amino acids using multi-objective Bayesian optimisation

Digital Discovery

2023

Kei Terayama
Kei Terayama

H-Index: 9

Fully autonomous materials screening methodology combining first-principles calculations, machine learning and high-performance computing system

Science and Technology of Advanced Materials: Methods

2023/12/31

AI-driven molecular generation of not-patented pharmaceutical compounds using world open patent data

Journal of Cheminformatics

2023/12/13

Kei Terayama
Kei Terayama

H-Index: 9

Masanori Osawa
Masanori Osawa

H-Index: 16

An efficient segmentation method based on semi-supervised learning for seafloor monitoring in Pujada Bay, Philippines

Ecological Informatics

2023/12/1

Kei Terayama
Kei Terayama

H-Index: 9

ChemTSv2: Functional molecular design using de novo molecule generator

2023/11

Kei Terayama
Kei Terayama

H-Index: 9

Deep Learning-Based Differential Diagnosis of Follicular Thyroid Tumors Using Histopathological Images

Modern Pathology

2023/11/1

Kei Terayama
Kei Terayama

H-Index: 9

Koopmans’ Theorem-Compliant Long-Range Corrected (KTLC) Density Functional Mediated by Black-Box Optimization and Data-Driven Prediction for Organic Molecules

Journal of Chemical Theory and Computation

2023/9/20

Kei Terayama
Kei Terayama

H-Index: 9

Toru Matsui
Toru Matsui

H-Index: 12

Ranking Pareto optimal solutions based on projection free energy

Physical Review Materials

2023/9/19

Kei Terayama
Kei Terayama

H-Index: 9

A machine learning approach to designing tough and degradable polyamides based on multiblock structures

2023/9/11

Integrating Incompatible Assay Data Sets with Deep Preference Learning

ACS Medicinal Chemistry Letters

2022/1/13

Kei Terayama
Kei Terayama

H-Index: 9

Automatic Rietveld refinement by robotic process automation with RIETAN-FP

Science and Technology of Advanced Materials: Methods

2022/12/31

Kei Terayama
Kei Terayama

H-Index: 9

Fujio Izumi
Fujio Izumi

H-Index: 31

See List of Professors in Kei Terayama University(Yokohama City University)

Co-Authors

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