Potential key technologies for 6G mobile communications
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2020/05/18
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Indian UGC (journal)
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Refrences60
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Citations75
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Yifei Yuan
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Yajun Zhao
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Baiqing Zong
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Sergio Parolari
Cite
Yuan, Yifei, et al. “Potential Key Technologies for 6G Mobile Communications”. Science China Information Sciences, vol. 63, no. 8, 2020, https://doi.org/10.1007/s11432-019-2789-y.
Yuan, Y., Zhao, Y., Zong, B., & Parolari, S. (2020). Potential key technologies for 6G mobile communications. Science China Information Sciences, 63(8). https://doi.org/10.1007/s11432-019-2789-y
Yuan, Yifei, Yajun Zhao, Baiqing Zong, and Sergio Parolari. “Potential Key Technologies for 6G Mobile Communications”. Science China Information Sciences 63, no. 8 (2020). https://doi.org/10.1007/s11432-019-2789-y.
1.
Yuan Y, Zhao Y, Zong B, Parolari S. Potential key technologies for 6G mobile communications. Science China Information Sciences. 2020;63(8).
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Computer software
Science
Science (General)
Cybernetics
Information theory
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Computer engineering
Computer hardware
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Smart radio environments empowered by reconfigurable AI meta-surfaces: an idea whose time has come | EURASIP Journal on Wireless Communications and Networking |
| 675 | 2019 |
| Toward high-speed visible laser lighting based optical wireless communications | Progress in Quantum Electronics |
| 55 | 2019 |
| 10.1360/N112019-00033 | 2019 | |||
| 10.1109/MVT.2019.2921398 | 2019 | |||
| 10.1109/ACCESS.2019.2902884 | IEEE Access |
| 2019 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Routing in quantum communication networks using reinforcement machine learning | Quantum Information Processing |
| 2024 | |
| Reducing the description of arbitrary wave field converters to tensor form | International Journal of Information Technology | 2024 | ||
| 6G and intelligent healthcare: Taxonomy, technologies, open issues and future research directions | Internet of Things | 1 | 2024 | |
| Advances in fronthauling of communication technologies: A review | Journal of Network and Computer Applications |
| 2024 | |
| Integration of Hybrid Networks, AI, Ultra Massive-MIMO, THz Frequency, and FBMC Modulation Toward 6G Requirements: A Review | IEEE Access |
| 2024 |
Citations Analysis
The category
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks 45
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Client-Centric Access Device Selection for Heterogeneous QoS Requirements in Beyond 5G IoT Networks and was published in 2020. The most recent citation comes from a 2024 study titled Reducing the description of arbitrary wave field converters to tensor form. This article reached its peak citation in 2023, with 24 citations. It has been cited in 48 different journals, 16% of which are open access. Among related journals, the IEEE Access cited this research the most, with 17 citations. The chart below illustrates the annual citation trends for this article.