Scholar
Kei Terayama
Google Scholar ID: MPsRQl0AAAAJ
Yokohama City University
Citations & Impact
Citations
2,247
H-index
26
i10-index
49
Publications
20
Co-authors
12
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Papers published in 2025 include:
- - "Communications Materials": Extracting effective solutions hidden in large language models via generated comprehensive specialists
- - "Aquaculture International": Monocular burst swimming detection in Pacific bluefin tuna using deep learning enhanced by ellipse fitting
- - "npj Computational Materials": A machine learning approach to designing and understanding tough, degradable polyamides
- - "Scientific Reports": Comprehensive search for assessment indicators that influence the level of handwriting difficulties among children in educational settings
- - "BMC Medical Informatics and Decision Making": Visualizing fatigue mechanisms in non-communicable diseases: an integrative approach with multi-omics and machine learning
- - "Journal of Cheminformatics": GESim: ultrafast graph-based molecular similarity calculation via von Neumann graph entropy
- - "Journal of Cheminformatics": Large language models open new way of AI-assisted molecule design for chemists
- - "PNAS Nexus": Precision spatiotemporal analysis of large-scale compound–protein interactions through molecular dynamics simulation
- - "Nature Communications": A data-driven generative strategy to avoid reward hacking in multi-objective molecular design
- - "Journal of Computational Chemistry": QCforever2: Advanced Automation of Quantum Chemistry Computations
Research Experience
- Associate Professor, Department of Life Information Science, Graduate School of Life and Medical Sciences, Yokohama City University
- Specially Appointed Associate Professor, Kanbara Laboratory, Faculty of Life and Environmental Sciences, Tokyo University of Science
- Specially Appointed Associate Professor, Element Strategy MDX Research Center, Tokyo University of Science
- Visiting Researcher, RIKEN Center for Advanced Intelligence Project / RIKEN Center for Computational Science
- Visiting Researcher, Big Data Medical Science, Graduate School of Medicine, Kyoto University
Background
- Research Interests: Machine learning and its applications, especially in drug discovery, materials science, and chemistry; Image processing and its applications, particularly in aquaculture and marine engineering / analysis of human or group behavior.
Miscellany
- Personal Interests: Not explicitly mentioned
