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

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
63
Citations
14581
World Ranking
1376
National Ranking
41

Computer Science

D-Index
64
Citations
15596
World Ranking
2613
National Ranking
15

Kaoru Ota publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Kaoru Ota sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 306 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Kaoru Ota D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Kaoru Ota sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 63 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

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

Overview

Kaoru Ota is affiliated with Muroran Institute of Technology in Japan and has made substantial contributions in the fields of Computer Science and Engineering. Their research primarily focuses on several subfields, including Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Information Systems, and Aerospace Engineering.

Their work covers a range of main topics such as IoT and Edge/Fog Computing, Blockchain Technology Applications and Security, UAV Applications and Optimization, Privacy-Preserving Technologies in Data, Age of Information Optimization, Advanced Wireless Communication Technologies, and Cryptography and Data Security.

Kaoru Ota has published extensively in prominent venues, frequently contributing to journals like:

  • IEEE Internet of Things Journal
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Network Science and Engineering
  • IEEE Transactions on Green Communications and Networking
  • IEEE Network

Recent papers by Kaoru Ota include:

  • "Joint Secure Offloading and Resource Allocation for Vehicular Edge Computing Network: A Multi-Agent Deep Reinforcement Learning Approach" (2023), IEEE Transactions on Intelligent Transportation Systems
  • "UAV-Based Real-Time Survivor Detection System in Post-Disaster Search and Rescue Operations" (2021), IEEE Journal on Miniaturization for Air and Space Systems
  • "Multi-UAV Cooperative Localization for Marine Targets Based on Weighted Subspace Fitting in SAGIN Environment" (2021), IEEE Internet of Things Journal
  • "Green AI for IIoT: Energy Efficient Intelligent Edge Computing for Industrial Internet of Things" (2021), IEEE Transactions on Green Communications and Networking
  • "Intelligent resource allocation management for vehicles network: An A3C learning approach" (2020), Computer Communications

Throughout their academic career, Kaoru Ota has collaborated with various researchers, with frequent co-authors including:

  • Mianxiong Dong
  • Chaoyang Li
  • Xiting Peng
  • Jian Li
  • Xiangjun Xin

Best Publications

  • Learning IoT in Edge: Deep Learning for the Internet of Things with Edge Computing

    He Li;Kaoru Ota;Mianxiong Dong

  • Deep Learning for Smart Industry: Efficient Manufacture Inspection System With Fog Computing

    Liangzhi Li;Kaoru Ota;Mianxiong Dong

  • ActiveTrust: Secure and Trustable Routing in Wireless Sensor Networks

    Yuxin Liu;Mianxiong Dong;Kaoru Ota;Anfeng Liu

  • Energy-Efficient Resource Allocation for D2D Communications Underlaying Cloud-RAN-Based LTE-A Networks

    Zhenyu Zhou;Mianxiong Dong;Kaoru Ota;Guojun Wang

  • Secure and Efficient Vehicle-to-Grid Energy Trading in Cyber Physical Systems: Integration of Blockchain and Edge Computing

    Zhenyu Zhou;Bingchen Wang;Mianxiong Dong;Kaoru Ota

  • Humanlike Driving: Empirical Decision-Making System for Autonomous Vehicles

    Liangzhi Li;Kaoru Ota;Mianxiong Dong

  • Energy-Efficient Matching for Resource Allocation in D2D Enabled Cellular Networks

    Zhenyu Zhou;Kaoru Ota;Mianxiong Dong;Chen Xu

  • RMER: Reliable and Energy-Efficient Data Collection for Large-Scale Wireless Sensor Networks

    Mianxiong Dong;Kaoru Ota;Anfeng Liu

  • Performance Guaranteed Computation Offloading for Mobile-Edge Cloud Computing

    Xiaoyi Tao;Kaoru Ota;Mianxiong Dong;Heng Qi

  • Energy Efficiency and Spectral Efficiency Tradeoff in Device-to-Device (D2D) Communications

    Zhenyu Zhou;Mianxiong Dong;Kaoru Ota;Jun Wu

  • Joint Secure Offloading and Resource Allocation for Vehicular Edge Computing Network: A Multi-Agent Deep Reinforcement Learning Approach

    Unknown

  • Big Data Analysis-Based Secure Cluster Management for Optimized Control Plane in Software-Defined Networks

    Jun Wu;Mianxiong Dong;Kaoru Ota;Jianhua Li

  • Assistant Vehicle Localization Based on Three Collaborative Base Stations via SBL-Based Robust DOA Estimation

    Huafei Wang;Liangtian Wan;Mianxiong Dong;Kaoru Ota

  • UAV-assisted data gathering in wireless sensor networks

    Mianxiong Dong;Kaoru Ota;Man Lin;Zunyi Tang

  • When Weather Matters: IoT-Based Electrical Load Forecasting for Smart Grid

    Liangzhi Li;Kaoru Ota;Mianxiong Dong

  • FCSS: Fog-Computing-based Content-Aware Filtering for Security Services in Information-Centric Social Networks

    Jun Wu;Mianxiong Dong;Kaoru Ota;Jianhua Li

  • Joint Optimization of Lifetime and Transport Delay under Reliability Constraint Wireless Sensor Networks

    Mianxiong Dong;Kaoru Ota;Anfeng Liu;Minyi Guo

  • A Secure Mechanism for Big Data Collection in Large Scale Internet of Vehicle

    Longhua Guo;Mianxiong Dong;Kaoru Ota;Qiang Li

  • Big Data Analysis-Based Security Situational Awareness for Smart Grid

    Jun Wu;Kaoru Ota;Mianxiong Dong;Jianhua Li

  • Deep Learning for Mobile Multimedia: A Survey

    Kaoru Ota;Minh Son Dao;Vasileios Mezaris;Francesco G. B. De Natale

  • A Hierarchical Security Framework for Defending Against Sophisticated Attacks on Wireless Sensor Networks in Smart Cities

    Jun Wu;Kaoru Ota;Mianxiong Dong;Chunxiao Li

Frequent Co-Authors

Mianxiong Dong
Mianxiong Dong Muroran Institute of Technology
Jun Wu
Jun Wu Waseda University
Anfeng Liu
Anfeng Liu Central South University
Minyi Guo
Minyi Guo Shanghai Jiao Tong University
Zhenyu Zhou
Zhenyu Zhou North China Electric Power University
Song Guo
Song Guo Hong Kong University of Science and Technology
Haojin Zhu
Haojin Zhu Shanghai Jiao Tong University
Hongzi Zhu
Hongzi Zhu Shanghai Jiao Tong University
Laurence T. Yang
Laurence T. Yang St. Francis Xavier University
Xuemin Shen
Xuemin Shen University of Waterloo

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