Rui Fa

2.2k citations
63 papers · 769 · h-index 15

Impact in

Papers in

Rui Fa

58 papers receiving 751 citations

Peers

Rui Fa
Comparison fields: 5 of 87
  • Signal Processing 248
  • Aerospace Engineering 193
  • Computer Networks and Communications 155
  • Computational Mathematics 4
  • Computational Mechanics 115
Replace S. Korl with:
S. Korl Switzerland
H. Özcelik Austria
Weijie Tan China
Norbert Felber Switzerland
Junying Zhang China
Ali Jamshidi Iran
Trevor Bihl United States
Zhisheng Yan United States
Shengliang Peng China
Rui Fa relative to S. Korl Switzerland S. Korl's profile →
Citations per field
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Citations per year

Countries citing papers authored by Rui Fa

Since Specialization
Citations

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

Fields of papers citing papers by Rui Fa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rui Fa, 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 Rui Fa Line = papers co-authored together Rui Fa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201194
2 200962
3 201060
4 201155
5 201849
6 201349
7 201544
8 201640
9 201331
10 201130
11 201122
12 201321
13
Integrative Cluster Analysis in Bioinformatics
201519
14 201617
15 201015
16 201913
17 201512
18 201510
19 20088
20 20127

About Rui Fa

Rui Fa is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Computer Networks and Communications, Signal Processing and Aerospace Engineering, having authored 63 papers that have together received 769 indexed citations. Recurring topics across this work include Gene expression and cancer classification (18 papers), Advanced Wireless Communication Techniques (17 papers), Bioinformatics and Genomic Networks (16 papers), Wireless Communication Networks Research (13 papers), Radar Systems and Signal Processing (11 papers), Direction-of-Arrival Estimation Techniques (11 papers), Advanced MIMO Systems Optimization (9 papers) and Advanced SAR Imaging Techniques (9 papers). The work is most often cited by research in Signal Processing (248 citations), Aerospace Engineering (193 citations), Computer Networks and Communications (155 citations), Computational Mathematics (4 citations) and Computational Mechanics (115 citations). Rui Fa has collaborated with scholars based in United Kingdom, Finland and China. Frequent co-authors include Rodrigo C. de Lamare, Asoke K. Nandi, Basel Abu‐Jamous, Peng Li, David J. Roberts, Lei Wang, Cen Wan, David T. Jones, Domenico Cozzetto and Xiang Li. Their work appears in journals such as PLoS ONE, BMC Bioinformatics, IEEE Transactions on Communications, BMJ Open and IEEE Transactions on Wireless Communications.

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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