Fuyun Ling

1.7k citations
44 papers · 1.1k indexed · h-index 15

Impact in

Papers in

Fuyun Ling

40 papers receiving 1.0k citations

Peers

Fuyun Ling
Comparison fields: 5 of 77
  • Signal Processing 452
  • Computational Mechanics 432
  • Computer Networks and Communications 378
  • Electrical and Electronic Engineering 510
  • Computer Vision and Pattern Recognition 113
Replace Tamal Bose with:
Tamal Bose United States
George N. Karystinos Greece
João Marcos Travassos Romano Brazil
P. Strobach Germany
Athanasios P. Liavas Greece
Brent Nelson United States
Juan Andrés Bazerque United States
N. Benvenuto Italy
Sheng-Yuan Tu United States
Athanasios A. Rontogiannis Greece
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Citations per field
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Citations per year

Countries citing papers authored by Fuyun Ling

Since Specialization
Citations

This map shows the geographic impact of Fuyun Ling'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 Fuyun Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fuyun Ling more than expected).

Fields of papers citing papers by Fuyun Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fuyun Ling. 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 Fuyun Ling. The network helps show where Fuyun Ling may publish in the future.

Co-authorship network

The 22 scholars most cited alongside Fuyun Ling, 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 Fuyun Ling Line = papers co-authored together Fuyun Ling links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20144
2 200785
3 20062
4
The FLO™ physical layer, an optimized multicast solution for terrestrial mobile multimedia.
20051
5 20051
6 20050
7 20056
8 20031
9 20024
10 20022
11 200215
12 20024
13 20023
14 20021
15 199946
16 199561
17 199568
18 19949
19 198583
20
Recursive Least Squares Algorithms Of Time-Variant Multipath Channels.
19841

About Fuyun Ling

Fuyun Ling is a scholar working on Signal Processing, Computer Networks and Communications, Computational Mechanics, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (19 papers), Wireless Communication Networks Research (19 papers), Advanced Adaptive Filtering Techniques (16 papers), Blind Source Separation Techniques (14 papers), Speech and Audio Processing (7 papers), Power Line Communications and Noise (4 papers), Image and Signal Denoising Methods (4 papers) and Advanced Wireless Network Optimization (3 papers). The work is most often cited by research in Signal Processing (452 citations), Computational Mechanics (432 citations), Computer Networks and Communications (378 citations), Electrical and Electronic Engineering (510 citations) and Computer Vision and Pattern Recognition (113 citations). Fuyun Ling has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include J.G. Proakis, Charles M. Rader, Dimitris G. Manolakis, Ian K. Proudler, C.L. Nikias, Marc Moonen, H. Lev-Ari, Jingdong Lin, Raghuraman Krishnamoorthi and D.D. Falconer. Their work appears in journals such as IEEE Transactions on Communications, IEEE Journal on Selected Areas in Communications, European Transactions on Telecommunications, International Journal of Wireless Information Networks and IEEE Transactions on Broadcasting.

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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