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Muhammad Ali Imran

2004–2026 年に発表

880
論文数
25,653
被引用数
79
h 指数
438
i10 指数

被引用数

Muhammad Ali Imran の年別被引用数1963 年: 被引用 2 件1967 年: 被引用 1 件1984 年: 被引用 1 件1990 年: 被引用 1 件1991 年: 被引用 2 件1997 年: 被引用 1 件2000 年: 被引用 1 件2001 年: 被引用 1 件2002 年: 被引用 6 件2006 年: 被引用 1 件2007 年: 被引用 1 件2008 年: 被引用 8 件2009 年: 被引用 10 件2010 年: 被引用 29 件2011 年: 被引用 90 件2012 年: 被引用 164 件2013 年: 被引用 278 件2014 年: 被引用 435 件2015 年: 被引用 558 件2016 年: 被引用 729 件2017 年: 被引用 875 件2018 年: 被引用 1,100 件2019 年: 被引用 1,221 件2020 年: 被引用 1,421 件2021 年: 被引用 1,711 件2022 年: 被引用 1,594 件2023 年: 被引用 1,598 件2024 年: 被引用 1,848 件2025 年: 被引用 1,410 件2026 年: 被引用 280 件1964〜1966 年は被引用が無いため表示していません1968〜1983 年は被引用が無いため表示していません1985〜1989 年は被引用が無いため表示していません1992〜1996 年は被引用が無いため表示していません1998〜1999 年は被引用が無いため表示していません2003〜2005 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 3,808 件、この内訳の 19.5%イギリス: 引用元論文 1,931 件、この内訳の 9.9%アメリカ合衆国: 引用元論文 1,623 件、この内訳の 8.3%インド: 引用元論文 1,091 件、この内訳の 5.6%カナダ: 引用元論文 740 件、この内訳の 3.8%韓国: 引用元論文 636 件、この内訳の 3.3%サウジアラビア: 引用元論文 526 件、この内訳の 2.7%パキスタン: 引用元論文 516 件、この内訳の 2.6%オーストラリア: 引用元論文 510 件、この内訳の 2.6%イタリア: 引用元論文 472 件、この内訳の 2.4%フランス: 引用元論文 458 件、この内訳の 2.3%スペイン: 引用元論文 435 件、この内訳の 2.2%
0%19.5%その他 34.8%

機関

分野

  • Engineering60.9%
  • Computer Science29.1%
  • Medicine2.5%
  • Biochemistry, Genetics and Molecular Biology1.1%
  • Social Sciences1%
  • Agricultural and Biological Sciences0.8%
  • その他4.6%

トピック

  • Advanced MIMO Systems Optimization11.2%
  • Cooperative Communication and Network Coding5.1%
  • Advanced Wireless Communication Technologies5%
  • IoT and Edge/Fog Computing3.7%
  • Energy Harvesting in Wireless Networks3.1%
  • Advanced Wireless Network Optimization3%
  • その他68.9%

共著者

全論文

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  1. A Scalable Multi-Layer PBFT Consensus for Blockchain

    著者: Wenyu Li, Chenglin Feng, Lei Zhang, Hao Xu, Bin Cao, Muhammad Ali Imran - IEEE Transactions on Parallel and Distributed Systems, IEEE Trans. Parallel Distributed Syst. 2020 被引用: 427

  2. Challenges, Applications, and Future of Wireless Sensors in Internet of Things: A Review

    著者: Muhammad Ali Jamshed, Kamran Ali, Qammer H. Abbasi, Muhammad Ali Imran, Masood Ur Rehman - IEEE Sensors Journal 2022 被引用: 442

  3. How much energy is needed to run a wireless network?

    著者: Gunther Auer, Vito Giannini, Claude Desset, István Gódor, Per Skillermark, Magnus Olsson, Muhammad Ali Imran, Dario Sabella, Manuel J. Gonzalez, Oliver Blume, Albrecht J. Fehske - IEEE Wireless Communications, IEEE Wirel. Commun. 2011 被引用: 1,536

  4. Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges

    著者: Mohammad Al-Quraan, Lina S. Mohjazi, Lina Bariah, Anthony Centeno, Ahmed Zoha, Kamran Arshad, Khaled Assaleh, Sami Muhaidat, Mérouane Debbah, Muhammad Ali Imran - IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Trans. Emerg. Top. Comput. Intell. 2023 被引用: 104

  5. Blockchain-Assisted UAV Communication Systems: A Comprehensive Survey

    著者: Sana Hafeez, Ahsan Raza Khan, Mohammad Al-Quraan, Lina Mohjazi, Ahmed Zoha, Muhammad Ali Imran, Yao Sun - IEEE Open Journal of Vehicular Technology 2023 被引用: 95

  6. Contactless WiFi Sensing and Monitoring for Future Healthcare - Emerging Trends, Challenges, and Opportunities

    著者: Yao Ge, Ahmad Taha, Syed Aziz Shah, Kia Dashtipour, Shuyuan Zhu, Jonathan M. Cooper, Qammer H. Abbasi, Muhammad Ali Imran - IEEE Reviews in Biomedical Engineering 2022 被引用: 101

  7. URLLC in Beyond 5G and 6G Networks: An Interference Management Perspective

    著者: Maraj Uddin Ahmed Siddiqui, Hanaa Abumarshoud, Lina Bariah, Sami Muhaidat, Muhammad Ali Imran, Lina S. Mohjazi - IEEE Access 2023 被引用: 79

  8. A Survey of Machine Learning Applications to Handover Management in 5G and Beyond

    著者: Michael S. Mollel, Attai Ibrahim Abubakar, Metin Öztürk, Shubi Felix Kaijage, Michael Kisangiri, Sajjad Hussain, Muhammad Ali Imran, Qammer H. Abbasi - IEEE Access 2021 被引用: 114

  9. A Survey of Machine Learning Techniques Applied to Self-Organizing Cellular Networks

    著者: Paulo Valente Klaine, Muhammad Ali Imran, Oluwakayode Onireti, Richard Demo Souza - IEEE Communications Surveys & Tutorials, IEEE Commun. Surv. Tutorials 2017 被引用: 479

  10. Low-Complexity Symbol Detection and Interference Cancellation for OTFS System

    著者: Huiyang Qu, Guanghui Liu, Lei Zhang, Shan Wen, Muhammad Ali Imran - IEEE Transactions on Communications, IEEE Trans. Commun. 2020 被引用: 110

  11. An Overview of Post-Disaster Emergency Communication Systems in the Future Networks

    著者: Deepak G. C., Alexandros Ladas, Yusuf Abdulrahman Sambo, Haris Pervaiz, Christos Politis, Muhammad Ali Imran - IEEE Wireless Communications, IEEE Wirel. Commun. 2019 被引用: 140

  12. PEGylation: a promising strategy to overcome challenges to cancer-targeted nanomedicines: a review of challenges to clinical transition and promising resolution

    著者: Zahid Hussain, Shahzeb Khan, Muhammad Ali Imran, Muhammad Sohail, Syed Wadood Ali Shah, Marcel de Matas - Drug Delivery and Translational Research 2019 被引用: 217

  13. Therapeutical properties of apigenin: a review on the experimental evidence and basic mechanisms

    著者: Zarina Mushtaq, Nabeelah Bibi Sadeer, Muzzamal Hussain, Mahwish, Suliman A. Alsagaby, Muhammad Ali Imran, Tamseela Mumtaz, Maryam Umar, Ambreen Tauseef, Waleed Al Abdulmonem, Tabussam Tufail, Entessar Al Jbawi, Mohamad Fawzi Mahomoodally - International Journal of Food Properties 2023 被引用: 104

  14. A survey on reconfigurable intelligent surfaces: Wireless communication perspective

    著者: Saber Hassouna, Muhammad Ali Jamshed, James Rains, Jalil Ur Rehman Kazim, Masood Ur Rehman, Mohammad Abualhayja'a, Lina S. Mohjazi, Tei Jun Cui, Muhammad Ali Imran, Qammer H. Abbasi - IET Communications, IET Commun. 2023 被引用: 84

  15. Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey

    著者: Ahmed Zoha, Alexander Gluhak, Muhammad Ali Imran, Sutharshan Rajasegarar - Sensors 2012 被引用: 938

  16. A performance overview of machine learning-based defense strategies for advanced persistent threats in industrial control systems

    著者: Muhammad Ali Imran, Hafeez Ur Rehman Siddiqui, Ali Raza, Muhammad Amjad Raza, Furqan Rustam, Imran Ashraf - Computers & Security, Comput. Secur. 2023 被引用: 57

  17. Coordinated Multi-Point Clustering Schemes: A Survey

    著者: Selcuk Bassoy, Hasan Farooq, Muhammad Ali Imran, Ali Imran - IEEE Communications Surveys & Tutorials, IEEE Commun. Surv. Tutorials 2017 被引用: 185

  18. An Intelligent Non-Invasive Real Time Human Activity Recognition System for Next-Generation Healthcare

    著者: William Taylor, Syed Aziz Shah, Kia Dashtipour, Adnan Zahid, Qammer H. Abbasi, Muhammad Ali Imran - Sensors 2020 被引用: 145

  19. A Review on the State of the Art in Atrial Fibrillation Detection Enabled by Machine Learning

    著者: Ali Rizwan, Ahmed Zoha, Ismail Ben Mabrouk, Hani Sabbour, Ameena Saad Al‐Sumaiti, Akram Alomainy, Muhammad Ali Imran, Qammer H. Abbasi - IEEE Reviews in Biomedical Engineering 2020 被引用: 112

  20. Quantum for 6G communication: A perspective

    著者: Muhammad Zulfiqar Ali, Abdoalbaset Abohmra, Muhammad Usman, Adnan Zahid, Hadi Heidari, Muhammad Ali Imran, Qammer H. Abbasi - IET Quantum Communication, IET Quantum Commun. 2023 被引用: 58

  21. 5G Backhaul Challenges and Emerging Research Directions: A Survey

    著者: Mona Jaber, Muhammad Ali Imran, Rahim Tafazolli, Anvar Tukmanov - IEEE Access 2016 被引用: 561

  22. Blockchain-Enabled Wireless Internet of Things: Performance Analysis and Optimal Communication Node Deployment

    著者: Yao Sun, Lei Zhang, Gang Feng, Bowen Yang, Bin Cao, Muhammad Ali Imran - IEEE Internet of Things Journal, IEEE Internet Things J. 2019 被引用: 242

  23. A Comprehensive Survey on Hybrid Communication in Context of Molecular Communication and Terahertz Communication for Body-Centric Nanonetworks

    著者: Ke Yang, Dadi Bi, Yansha Deng, Rui Zhang, Muhammad Mahboob Ur Rahman, Najah Abu Ali, Muhammad Ali Imran, Josep Miquel Jornet, Qammer H. Abbasi, Akram Alomainy - IEEE Transactions on Molecular Biological and Multi-Scale Communications, IEEE Trans. Mol. Biol. Multi Scale Commun. 2020 被引用: 91

  24. Intelligent Handover Algorithm for Vehicle-to-Network Communications With Double-Deep Q-Learning

    著者: Kang Tan, Duncan Bremner, Julien Le Kernec, Yusuf A. Sambo, Lei Zhang, Muhammad Ali Imran - IEEE Transactions on Vehicular Technology, IEEE Trans. Veh. Technol. 2022 被引用: 47