Mingzhe Chen

2003–2026 年に発表

311
論文数
21,080
被引用数
59
h 指数
133
i10 指数

被引用数

Mingzhe Chen の年別被引用数2005 年: 被引用 2 件2006 年: 被引用 2 件2007 年: 被引用 3 件2008 年: 被引用 3 件2009 年: 被引用 2 件2010 年: 被引用 2 件2011 年: 被引用 3 件2012 年: 被引用 2 件2013 年: 被引用 1 件2014 年: 被引用 1 件2016 年: 被引用 3 件2017 年: 被引用 72 件2018 年: 被引用 170 件2019 年: 被引用 356 件2020 年: 被引用 578 件2021 年: 被引用 685 件2022 年: 被引用 642 件2023 年: 被引用 783 件2024 年: 被引用 884 件2025 年: 被引用 820 件2026 年: 被引用 212 件2015 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図中国: 引用元論文 2,041 件、この内訳の 28.7%アメリカ合衆国: 引用元論文 981 件、この内訳の 13.8%イギリス: 引用元論文 497 件、この内訳の 7%カナダ: 引用元論文 356 件、この内訳の 5%韓国: 引用元論文 306 件、この内訳の 4.3%オーストラリア: 引用元論文 241 件、この内訳の 3.4%シンガポール: 引用元論文 233 件、この内訳の 3.3%インド: 引用元論文 184 件、この内訳の 2.6%香港: 引用元論文 167 件、この内訳の 2.3%ドイツ: 引用元論文 145 件、この内訳の 2%フィンランド: 引用元論文 143 件、この内訳の 2%サウジアラビア: 引用元論文 121 件、この内訳の 1.7%
0%28.7%その他 23.9%

分野

  • Computer Science49.4%
  • Engineering45.1%
  • Medicine1.3%
  • Biochemistry, Genetics and Molecular Biology1.1%
  • Environmental Science0.5%
  • Neuroscience0.4%
  • その他2.2%

トピック

  • Privacy-Preserving Technologies in Data8.4%
  • Advanced Wireless Communication Technologies7.4%
  • UAV Applications and Optimization5.9%
  • Advanced MIMO Systems Optimization5.3%
  • IoT and Edge/Fog Computing4.5%
  • Cooperative Communication and Network Coding2.7%
  • その他65.8%

共著者

全論文

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  1. Communication-efficient federated learning

    著者: , , , , - National Academy of Sciences, Proceedings of the National Academy of Sciences 2021 被引用: 364

  2. Federated Learning for 6G: Applications, Challenges, and Opportunities

    著者: , , , , - Engineering 2021 被引用: 351

  3. Performance Optimization for Semantic Communications: An Attention-Based Reinforcement Learning Approach

    著者: , , , , , , - IEEE Journal on Selected Areas in Communications, IEEE J. Sel. Areas Commun. 2022 被引用: 203

  4. UVeQFed: Universal Vector Quantization for Federated Learning

    著者: , , , , - IEEE Transactions on Signal Processing, IEEE Trans. Signal Process. 2020 被引用: 259

  5. Multiple Access Techniques for Intelligent and Multifunctional 6G: Tutorial, Survey, and Outlook

    著者: , , , , , , , , , - IEEE, Proc. IEEE 2024 被引用: 99

  6. Optimization of Image Transmission in Cooperative Semantic Communication Networks

    著者: , , , , - IEEE Transactions on Wireless Communications, IEEE Trans. Wirel. Commun. 2023 被引用: 88

  7. Federated Learning on the Road: Autonomous Controller Design for Connected and Autonomous Vehicles

    著者: , , , , - IEEE Transactions on Wireless Communications, IEEE Trans. Wirel. Commun. 2022 被引用: 116

  8. Caching in the Sky: Proactive Deployment of Cache-Enabled Unmanned Aerial Vehicles for Optimized Quality-of-Experience

    著者: , , , , , - IEEE Journal on Selected Areas in Communications, IEEE J. Sel. Areas Commun. 2017 被引用: 804

  9. Energy Efficient Rate Splitting Multiple Access (RSMA) with Reconfigurable Intelligent Surface

    著者: , , , , , - IEEE International Conference on Communications Workshops (ICC Workshops) 2020 被引用: 144

  10. Federated Learning with Quantization Constraints

    著者: , , , , - ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2020 被引用: 112

  11. Virtual Reality Over Wireless Networks: Quality-of-Service Model and Learning-Based Resource Management

    著者: , , - IEEE Transactions on Communications, IEEE Trans. Commun. 2018 被引用: 296

  12. Performance Optimization for Semantic Communications: An Attention-based Learning Approach

    著者: , , , , , - IEEE Global Communications Conference (GLOBECOM) 2021 被引用: 58

  13. A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems

    著者: , , - IEEE Network, IEEE Netw. 2019 被引用: 4,661

  14. Federated Learning Over Energy Harvesting Wireless Networks

    著者: , , , , - IEEE Internet of Things Journal, IEEE Internet Things J. 2021 被引用: 68

  15. AI-Driven UAV-NOMA-MEC in Next Generation Wireless Networks

    著者: , , , , , , - IEEE Wireless Communications, IEEE Wirel. Commun. 2021 被引用: 63

  16. Data Correlation-Aware Resource Management in Wireless Virtual Reality (VR): An Echo State Transfer Learning Approach

    著者: , , , - IEEE Transactions on Communications, IEEE Trans. Commun. 2019 被引用: 98

  17. Joint Content Caching, Recommendation, and Transmission Optimization for Next Generation Multiple Access Networks

    著者: , , , , - IEEE Journal on Selected Areas in Communications, IEEE J. Sel. Areas Commun. 2022 被引用: 43

  18. Reflecting the Light: Energy Efficient Visible Light Communication with Reconfigurable Intelligent Surface

    著者: , , , , , - IEEE 92nd Vehicular Technology Conference (VTC2020-Fall), VTC Fall 2020 被引用: 65

  19. Meta-Reinforcement Learning for Reliable Communication in THz/VLC Wireless VR Networks

    著者: , , , , , , - IEEE Transactions on Wireless Communications, IEEE Trans. Wirel. Commun. 2022 被引用: 39

  20. GoMORE: Global Model Reuse for Resource-Constrained Wireless Federated Learning

    著者: , , , , - IEEE Wireless Communications Letters, IEEE Wirel. Commun. Lett. 2023 被引用: 30

  21. Energy-Efficient Probabilistic Semantic Communication Over Space-Air-Ground Integrated Networks

    著者: , , , , , , - IEEE Transactions on Wireless Communications, IEEE Trans. Wirel. Commun. 2025 被引用: 22

  22. A Joint Communication and Computation Framework for Digital Twin Over Wireless Networks

    著者: , , , - IEEE Journal of Selected Topics in Signal Processing, IEEE J. Sel. Top. Signal Process. 2023 被引用: 21

  23. A Comprehensive Survey on 6G Networks: Applications, Core Services, Enabling Technologies, and Future Challenges

    著者: , , , , - arXiv (Cornell University), CoRR 2021 被引用: 101

  24. Joint User Grouping, Version Selection, and Bandwidth Allocation for Live Video Multicasting

    著者: , , , , , , - IEEE Transactions on Communications, IEEE Trans. Commun. 2021 被引用: 29