Fa-Long Luo

1.3k citations
49 papers · 610 · 1 hit paper · h-index 11

Impact in

Papers in

Fa-Long Luo

47 papers receiving 580 citations

Fa-Long Luo's Hit Papers

Terahertz Communications and Sensing for 6G and Beyond: A Comprehensive Review 2024 · 173 citations
1730+1Years since publication50100150

Peers

Fa-Long Luo
Comparison fields: 5 of 56
  • Signal Processing 172
  • Electrical and Electronic Engineering 270
  • Artificial Intelligence 148
  • Computational Mechanics 95
  • Computational Theory and Mathematics 53
Replace K.M.M. Prabhu with:
K.M.M. Prabhu India
Abhijit Chandra India
Stanley P. Lipshitz Canada
Philip Fong Canada
J.G. McWhirter United Kingdom
W.H. Holmes Australia
Jianhong Xiang China
Lei Yu China
Traian E. Abrudan Finland
Adel Ghazel Tunisia
Fa-Long Luo relative to K.M.M. Prabhu India K.M.M. Prabhu's profile →
Citations per field
00.5×7.1×
K.M.M. Prabhu · 1×
Citations per year

Countries citing papers authored by Fa-Long Luo

Since Specialization
Citations

This map shows the geographic impact of Fa-Long Luo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fa-Long Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fa-Long Luo more than expected).

Fields of papers citing papers by Fa-Long Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fa-Long Luo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fa-Long Luo. The network helps show where Fa-Long Luo may publish in the future.

Co-authors

The 25 scholars most cited alongside Fa-Long Luo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fa-Long Luo Line = papers co-authored together Fa-Long Luo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Terahertz Communications and Sensing for 6G and Beyond: A Comprehensive Review
Hit paper breakdown →
2024173
2 201165
3 199759
4 199249
5 200249
6 200243
7 200713
8
Non-Orthogonal Multiple Access (NOMA): Concept and Design
201612
9 199512
10 199512
11 199910
12 200910
13 20119
14 19947
15 20087
16 19996
17
5G Standard Development: Technology and Roadmap
20166
18 20025
19 19965
20 20065

About Fa-Long Luo

Fa-Long Luo is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Computational Mechanics, having authored 49 papers that have together received 610 indexed citations. Recurring topics across this work include Neural Networks and Applications (17 papers), Blind Source Separation Techniques (12 papers), Advanced MIMO Systems Optimization (8 papers), PAPR reduction in OFDM (8 papers), Advanced Adaptive Filtering Techniques (7 papers), Control Systems and Identification (5 papers), Speech and Audio Processing (5 papers) and Analog and Mixed-Signal Circuit Design (5 papers). The work is most often cited by research in Signal Processing (172 citations), Electrical and Electronic Engineering (270 citations), Artificial Intelligence (148 citations), Computational Mechanics (95 citations) and Computational Theory and Mathematics (53 citations). Fa-Long Luo has collaborated with scholars based in United States, China and Germany. Frequent co-authors include R. Unbehauen, Zheng Bao, Bernard Widrow, Andrzej Cichocki, Charlie Zhang, Chaslav V. Pavlovic, Tarek S. El-Bawab, Mérouane Debbah, Mohammed El‐Absi and Jun Yang. Their work appears in journals such as Applied Mathematics and Computation, Neurocomputing, IEEE Signal Processing Magazine, Neural Networks and International Journal of Circuit Theory and Applications.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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