World's Best Scientists 2026 revealed!
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Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
49
Citations
11042
World Ranking
5833
National Ranking
77

Electronics and Electrical Engineering

D-Index
49
Citations
10933
World Ranking
2909
National Ranking
102

Research.com Recognitions

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

Overview

Yusheng Ji is affiliated with the National Institute of Informatics in Japan and has contributed extensively to fields related to computer science and engineering. Their research spans 161 publications in computer science and 103 in engineering, reflecting a broad engagement with these disciplines.

The scientist's work often focuses on specialized subfields, including computer networks and communications, electrical and electronic engineering, artificial intelligence, computer vision and pattern recognition, and information systems.

Key topics within their research portfolio include:

  • IoT and Edge/Fog Computing
  • Vehicular Ad Hoc Networks (VANETs)
  • Privacy-Preserving Technologies in Data
  • Advanced MIMO Systems Optimization
  • Age of Information Optimization
  • Blockchain Technology Applications and Security
  • Opportunistic and Delay-Tolerant Networks

Yusheng Ji has published frequently in several venues, with notable counts in:

  • IEEE Internet of Things Journal
  • IEEE Open Journal of the Computer Society
  • arXiv (Cornell University)
  • IEEE Access
  • IEEE Transactions on Vehicular Technology

Among recent papers authored or coauthored are:

  • "Federated Learning for Vehicular Internet of Things: Recent Advances and Open Issues," 2020, IEEE Open Journal of the Computer Society
  • "Collaborative Learning of Communication Routes in Edge-Enabled Multi-Access Vehicular Environment," 2020, IEEE Transactions on Cognitive Communications and Networking
  • "Computation Offloading in Beyond 5G Networks: A Distributed Learning Framework and Applications," 2021, IEEE Wireless Communications
  • "Multi-Hop Multi-Task Partial Computation Offloading in Collaborative Edge Computing," 2020, IEEE Transactions on Parallel and Distributed Systems
  • "Point Cloud Video Streaming: Challenges and Solutions," 2021, IEEE Network

Frequent collaborators include Celimuge Wu, Tsutomu Yoshinaga, Zhi Liu, Xianfu Chen, and Yu Gu, with collaboration counts ranging from 9 to 37 joint works.

Best Publications

  • Optimized Computation Offloading Performance in Virtual Edge Computing Systems Via Deep Reinforcement Learning

    Xianfu Chen;Honggang Zhang;Celimuge Wu;Shiwen Mao

  • Federated Learning for Vehicular Internet of Things: Recent Advances and Open Issues

    Zhaoyang Du;Celimuge Wu;Tsutomu Yoshinaga;Kok-Lim Alvin Yau

  • AVE: Autonomous Vehicular Edge Computing Framework with ACO-Based Scheduling

    Jingyun Feng;Zhi Liu;Celimuge Wu;Yusheng Ji

  • RF-Sensing of Activities from Non-Cooperative Subjects in Device-Free Recognition Systems Using Ambient and Local Signals

    Stephan Sigg;Markus Scholz;Shuyu Shi;Yusheng Ji

  • Multi-User Computation Partitioning for Latency Sensitive Mobile Cloud Applications

    Lei Yang;Jiannong Cao;Hui Cheng;Yusheng Ji

  • Folo: Latency and Quality Optimized Task Allocation in Vehicular Fog Computing

    Chao Zhu;Jin Tao;Giancarlo Pastor;Yu Xiao

  • The Evolution of Sink Mobility Management in Wireless Sensor Networks: A Survey

    Yu Gu;Fuji Ren;Yusheng Ji;Jie Li

  • Mobile Edge Computing for the Internet of Vehicles: Offloading Framework and Job Scheduling

    Jingyun Feng;Zhi Liu;Celimuge Wu;Yusheng Ji

  • A Dedicated Multi-Channel MAC Protocol Design for VANET with Adaptive Broadcasting

    Ning Lu;Yusheng Ji;Fuqiang Liu;Xinhong Wang

  • Power Control in D2D-Based Vehicular Communication Networks

    Yi Ren;Fuqiang Liu;Zhi Liu;Chao Wang

  • Accurate Location Tracking From CSI-Based Passive Device-Free Probabilistic Fingerprinting

    Shuyu Shi;Stephan Sigg;Lin Chen;Yusheng Ji

  • Performance Optimization in Mobile-Edge Computing via Deep Reinforcement Learning

    Xianfu Chen;Honggang Zhang;Celimuge Wu;Shiwen Mao

  • Collaborative Learning of Communication Routes in Edge-Enabled Multi-Access Vehicular Environment

    Celimuge Wu;Zhi Liu;Fuqiang Liu;Tsutomu Yoshinaga

  • Energy-Efficient Resource Allocation for Multi-User Mobile Edge Computing

    Junfeng Guo;Zhaozhe Song;Ying Cui;Zhi Liu

  • Computation Offloading in Beyond 5G Networks: A Distributed Learning Framework and Applications

    Xianfu Chen;Celimuge Wu;Zhi Liu;Ning Zhang

  • Multi-Tenant Cross-Slice Resource Orchestration: A Deep Reinforcement Learning Approach

    Xianfu Chen;Zhifeng Zhao;Celimuge Wu;Mehdi Bennis

  • ESWC: Efficient Scheduling for the Mobile Sink in Wireless Sensor Networks with Delay Constraint

    Yu Gu;Yusheng Ji;Jie Li;Baohua Zhao

  • Leveraging RF-channel fluctuation for activity recognition: Active and passive systems, continuous and RSSI-based signal features

    Stephan Sigg;Shuyu Shi;Felix Buesching;Yusheng Ji

  • Multi-Hop Multi-Task Partial Computation Offloading in Collaborative Edge Computing

    Yuvraj Sahni;Jiannong Cao;Lei Yang;Yusheng Ji

  • Point Cloud Video Streaming: Challenges and Solutions

    Zhi Liu;Qiyue Li;Xianfu Chen;Celimuge Wu

  • MoSense: An RF-Based Motion Detection System via Off-the-Shelf WiFi Devices

    Yu Gu;Jinhai Zhan;Yusheng Ji;Jie Li

  • Leveraging RF-channel fluctuation for activity recognition: Active and passive systems, continuous and RSSI-based signal features

    Stephan Sigg;Felix Buesching;Lars Wolf;Shuyu Shi

Frequent Co-Authors

Zhi Liu
Zhi Liu University of Electro-Communications
Jie Li
Jie Li Shanghai Jiao Tong University
Yu Gu
Yu Gu Visa (United States)
Gene Cheung
Gene Cheung York University
Yongbing Zhang
Yongbing Zhang Tsukuba University of Technology
Mehdi Bennis
Mehdi Bennis University of Oulu
Mianxiong Dong
Mianxiong Dong Muroran Institute of Technology
Honggang Zhang
Honggang Zhang Zhejiang University
Fuji Ren
Fuji Ren University of Electronic Science and Technology of China
Carlos T. Calafate
Carlos T. Calafate Universitat Politècnica de València

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