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

D-Index & Metrics

Computer Science

D-Index
93
Citations
31169
World Ranking
525
National Ranking
2

Research.com Recognitions

  • 2026 - Research.com Computer Science in Japan Leader Award
  • 2025 - Research.com Computer Science in Japan Leader Award
  • 2023 - Research.com Computer Science in Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award

Overview

Nei Kato is affiliated with Tohoku University in Japan, focusing on research within the fields of Engineering and Computer Science. Their work spans several subfields including Electrical and Electronic Engineering, Aerospace Engineering, Computer Networks and Communications, Artificial Intelligence, and Information Systems. This multidisciplinary approach reflects an extensive investigation of communication technologies and network systems.

The scientist's research covers a range of primary topics. These include Advanced Wireless Communication Technologies, Satellite Communication Systems, UAV Applications and Optimization, IoT and Edge/Fog Computing, Advanced MIMO Systems Optimization, Optical Wireless Communication Technologies, and IoT Networks and Protocols.

Nei Kato has contributed numerous papers to frequent publication venues such as:

  • IEEE Transactions on Vehicular Technology
  • IEEE Wireless Communications
  • IEEE Network
  • IEEE Communications Surveys & Tutorials
  • IEEE Journal on Selected Areas in Communications

Among their recent papers are:

  • "6G: Opening New Horizons for Integration of Comfort, Security, and Intelligence" (2020) published in IEEE Wireless Communications
  • "A Survey on Space-Air-Ground-Sea Integrated Network Security in 6G" (2021) published in IEEE Communications Surveys & Tutorials
  • "Ten Challenges in Advancing Machine Learning Technologies toward 6G" (2020) published in IEEE Wireless Communications
  • "Envisioning Device-to-Device Communications in 6G" (2020) published in IEEE Network
  • "The Roadmap of Communication and Networking in 6G for the Metaverse" (2022) published in IEEE Wireless Communications

Research collaboration is an important aspect of their work, with frequent co-authors including Yuichi Kawamoto, Fengxiao Tang, Jiajia Liu, Bomin Mao, and Ming Zhao. These collaborations suggest active involvement in diverse research projects within their areas of expertise.

Best Publications

  • Space-Air-Ground Integrated Network: A Survey

    Jiajia Liu;Yongpeng Shi;Zubair Md. Fadlullah;Nei Kato

  • State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control Systems

    Zubair Md. Fadlullah;Fengxiao Tang;Bomin Mao;Nei Kato

  • A survey of routing attacks in mobile ad hoc networks

    B. Kannhavong;H. Nakayama;Y. Nemoto;N. Kato

  • Device-to-Device Communication in LTE-Advanced Networks: A Survey

    Jiajia Liu;Nei Kato;Jianfeng Ma;Naoto Kadowaki

  • Toward intelligent machine-to-machine communications in smart grid

    Z M Fadlullah;M M Fouda;N Kato;A Takeuchi

  • 6G: Opening New Horizons for Integration of Comfort, Security, and Intelligence

    Guan Gui;Miao Liu;Fengxiao Tang;Nei Kato

  • Detecting Blackhole Attack on AODV-based Mobile Ad Hoc Networks by Dynamic Learning Method.

    Satoshi Kurosawa;Hidehisa Nakayama;Nei Kato;Abbas Jamalipour

  • Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches

    Fengxiao Tang;Yuichi Kawamoto;Nei Kato;Jiajia Liu

  • A Stable Routing Protocol to Support ITS Services in VANET Networks

    T. Taleb;E. Sakhaee;A. Jamalipour;K. Hashimoto

  • A Lightweight Message Authentication Scheme for Smart Grid Communications

    M. M. Fouda;Z. M. Fadlullah;N. Kato;Rongxing Lu

  • Networking and Communications in Autonomous Driving: A Survey

    Jiadai Wang;Jiajia Liu;Nei Kato

  • A Survey on Space-Air-Ground-Sea Integrated Network Security in 6G

    Hongzhi Guo;Jingyi Li;Jiajia Liu;Na Tian

  • The Deep Learning Vision for Heterogeneous Network Traffic Control: Proposal, Challenges, and Future Perspective

    Nei Kato;Zubair Md. Fadlullah;Bomin Mao;Fengxiao Tang

  • A Survey on Network Methodologies for Real-Time Analytics of Massive IoT Data and Open Research Issues

    Shikhar Verma;Yuichi Kawamoto;Zubair Md. Fadlullah;Hiroki Nishiyama

  • Relay-by-smartphone: realizing multihop device-to-device communications

    Hiroki Nishiyama;Masaya Ito;Nei Kato

  • Smart Resource Allocation for Mobile Edge Computing: A Deep Reinforcement Learning Approach

    Jiadai Wang;Lei Zhao;Jiajia Liu;Nei Kato

  • Hybrid Method for Minimizing Service Delay in Edge Cloud Computing Through VM Migration and Transmission Power Control

    Tiago Gama Rodrigues;Katsuya Suto;Hiroki Nishiyama;Nei Kato

  • Ten Challenges in Advancing Machine Learning Technologies toward 6G

    Nei Kato;Bomin Mao;Fengxiao Tang;Yuichi Kawamoto

  • Routing or Computing? The Paradigm Shift Towards Intelligent Computer Network Packet Transmission Based on Deep Learning

    Bomin Mao;Zubair Md. Fadlullah;Fengxiao Tang;Nei Kato

  • Optimizing Space-Air-Ground Integrated Networks by Artificial Intelligence

    Nei Kato;Zubair Md. Fadlullah;Fengxiao Tang;Bomin Mao

  • A handwritten character recognition system using directional element feature and asymmetric Mahalanobis distance

    N. Kato;M. Suzuki;S. Omachi;H. Aso

Frequent Co-Authors

Hiroki Nishiyama
Hiroki Nishiyama Tohoku University
Zubair Md. Fadlullah
Zubair Md. Fadlullah Lakehead University
Jiajia Liu
Jiajia Liu Northwestern Polytechnical University
Tarik Taleb
Tarik Taleb Ruhr University Bochum
Abbas Jamalipour
Abbas Jamalipour University of Sydney
Nirwan Ansari
Nirwan Ansari New Jersey Institute of Technology
Xiaohong Jiang
Xiaohong Jiang Future University Hakodate
Xuemin Shen
Xuemin Shen University of Waterloo
Hongzhi Guo
Hongzhi Guo University of Nebraska–Lincoln
Morio Toyoshima
Morio Toyoshima National Institute of Information and Communications Technology

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