World's Best Scientists 2026 revealed!
Ryosuke Shibasaki

Ryosuke Shibasaki

Award Badge
Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
54
Citations
10522
World Ranking
4611
National Ranking
51

Research.com Recognitions

  • 2025 - Research.com Computer Science in Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award

Overview

Ryosuke Shibasaki is affiliated with the University of Tokyo in Japan and has contributed extensively to research in multiple intersecting fields. Their work spans social sciences, engineering, and computer science, addressing topics primarily related to human mobility, transportation, and data analysis.

Their research focuses on areas including:

  • Human Mobility and Location-Based Analysis
  • Traffic Prediction and Management Techniques
  • Urban Transport and Accessibility
  • Transportation Planning and Optimization
  • Data-Driven Disease Surveillance
  • Data Management and Algorithms
  • Remote-Sensing Image Classification

Shibasaki's studies often intersect subfields such as transportation, building and construction, computer vision and pattern recognition, ocean engineering, and artificial intelligence. These interdisciplinary approaches reflect their integration of advanced computational methods in practical urban and environmental contexts.

Frequent collaborators in their research include Xuan Song, Haoran Zhang, Zipei Fan, Renhe Jiang, and Jinyu Chen. This collaboration network suggests sustained cooperative efforts likely enriching their research output.

The scientist has published in various scholarly venues, with repeated contributions to:

  • arXiv (Cornell University)
  • Cities
  • Journal of Cleaner Production
  • IEEE Transactions on Intelligent Transportation Systems
  • SSRN Electronic Journal

Among recent papers authored or co-authored by Shibasaki are:

  • Understanding rooftop PV panel semantic segmentation of satellite and aerial images for better using machine learning, 2021, Advances in Applied Energy
  • Oil Palm Tree Detection and Health Classification on High-Resolution Imagery Using Deep Learning, 2021, Agriculture
  • A Method for Vehicle Detection in High-Resolution Satellite Images that Uses a Region-Based Object Detector and Unsupervised Domain Adaptation, 2020, Remote Sensing
  • Mobile phone GPS data in urban customized bus: Dynamic line design and emission reduction potentials analysis, 2020, Journal of Cleaner Production
  • DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction, 2021, IEEE Transactions on Knowledge and Data Engineering

These publications demonstrate a focus on practical applications of machine learning and deep learning techniques for urban mobility, environmental monitoring, and transportation system optimization. The work spans usage of satellite and aerial imagery to GPS data analytics, illustrating a combination of remote sensing and urban planning tools.

Best Publications

  • Activity-aware map: identifying human daily activity pattern using mobile phone data

    Santi Phithakkitnukoon;Teerayut Horanont;Giusy Di Lorenzo;Ryosuke Shibasaki

  • A novel system for tracking pedestrians using multiple single-row laser-range scanners

    Huijing Zhao;R. Shibasaki

  • UAV-Borne 3-D Mapping System by Multisensor Integration

    M. Nagai;Tianen Chen;R. Shibasaki;H. Kumagai

  • Learning deep representation from big and heterogeneous data for traffic accident inference

    Quanjun Chen;Xuan Song;Harutoshi Yamada;Ryosuke Shibasaki

  • DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction

    Renhe Jiang;Du Yin;Zhaonan Wang;Yizhuo Wang

  • Estimating crop yields with deep learning and remotely sensed data

    Kentaro Kuwata;Ryosuke Shibasaki

  • Deeptransport: prediction and simulation of human mobility and transportation mode at a citywide level

    Xuan Song;Hiroshi Kanasugi;Ryosuke Shibasaki

  • Prediction of human emergency behavior and their mobility following large-scale disaster

    Xuan Song;Quanshi Zhang;Yoshihide Sekimoto;Ryosuke Shibasaki

  • Automatic Building Segmentation of Aerial Imagery Using Multi-Constraint Fully Convolutional Networks

    Guangming Wu;Xiaowei Shao;Zhiling Guo;Qi Chen

  • CityMomentum: an online approach for crowd behavior prediction at a citywide level

    Zipei Fan;Xuan Song;Ryosuke Shibasaki;Ryutaro Adachi

  • Reconstructing a textured CAD model of an urban environment using vehicle-borne laser range scanners and line cameras

    Huijing Zhao;Ryosuke Shibasaki

  • PFlow: Reconstructing People Flow Recycling Large-Scale Social Survey Data

    Y. Sekimoto;R. Shibasaki;H. Kanasugi;T. Usui

  • CitySpectrum: a non-negative tensor factorization approach

    Zipei Fan;Xuan Song;Ryosuke Shibasaki

  • A vehicle-borne urban 3-D acquisition system using single-row laser range scanners

    Huijing Zhao;R. Shibasaki

  • Modeling and probabilistic reasoning of population evacuation during large-scale disaster

    Xuan Song;Quanshi Zhang;Yoshihide Sekimoto;Teerayut Horanont

  • Laser-based detection and tracking of multiple people in crowds

    Jinshi Cui;Hongbin Zha;Huijing Zhao;Ryosuke Shibasaki

  • Measuring spatio-temporal accessibility to emergency medical services through big GPS data.

    Tianqi Xia;Tianqi Xia;Xuan Song;Xuan Song;Haoran Zhang;Xiaoya Song;Xiaoya Song

  • Understanding rooftop PV panel semantic segmentation of satellite and aerial images for better using machine learning

    Peiran Li;Haoran Zhang;Haoran Zhang;Zhiling Guo;Suxing Lyu

  • SLAM in a dynamic large outdoor environment using a laser scanner

    Huijing Zhao;M. Chiba;R. Shibasaki;Xiaowei Shao

  • Pseudo 3-D space representation system, pseudo 3-D space constructing system, game system and electronic map providing system

    Masatoshi Arikawa;Hiroya Tanaka;Ryosuke Shibasaki

  • Reconstructing Textured CAD Model of Urban Environment Using Vehicle-Borne Laser Range Scanners and Line Cameras

    Huijing Zhao;Ryosuke Shibasaki

  • Multi-modal tracking of people using laser scanners and video camera

    Jinshi Cui;Hongbin Zha;Huijing Zhao;Ryosuke Shibasaki

  • Wavelet Analysis and Its Application

    Zhongchao Shi;Ryosuke Shibasaki

Frequent Co-Authors

Xuan Song
Xuan Song University of Tokyo
Huijing Zhao
Huijing Zhao Peking University
Hongbin Zha
Hongbin Zha Peking University
Zhongxin Chen
Zhongxin Chen National University of Singapore
Tao Li
Tao Li Florida International University
Jinyue Yan
Jinyue Yan Mälardalen University
Adam Jatowt
Adam Jatowt University of Innsbruck
Hiroshi Nishiura
Hiroshi Nishiura Kyoto University
Nicholas Jing Yuan
Nicholas Jing Yuan Microsoft (United States)

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