Runfa Liao

1.0k citations
26 papers · 776 · h-index 13

Impact in

Papers in

Runfa Liao

26 papers receiving 762 citations

Peers

Runfa Liao
Comparison fields: 5 of 56
  • Computer Networks and Communications 293
  • Electrical and Electronic Engineering 532
  • Signal Processing 96
  • Artificial Intelligence 252
  • Hardware and Architecture 36
Replace Lin Hu with:
Lin Hu China
Huanhuan Song China
Fei Pan China
Paul Yu United States
Brahmjit Singh India
Peng Hao China
Kaizhi Huang China
Feiyi Xie China
Bo‐Chao Cheng Taiwan
Aanjhan Ranganathan United States
Runfa Liao relative to Lin Hu China Lin Hu's profile →
Citations per field
00.5×1.5×1.9×
Lin Hu · 1×
Citations per year

Countries citing papers authored by Runfa Liao

Since Specialization
Citations

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

Fields of papers citing papers by Runfa Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017178
2 201980
3 201868
4 201968
5 201962
6 201751
7 201946
8 201831
9 201729
10 201927
11 201924
12 201819
13 201817
14 201712
15 201710
16 20189
17 20198
18 20188
19 20207
20 20186

About Runfa Liao

Runfa Liao is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Signal Processing and Information Systems, having authored 26 papers that have together received 776 indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (12 papers), Wireless Signal Modulation Classification (7 papers), Cooperative Communication and Network Coding (4 papers), Advanced Wireless Communication Technologies (4 papers), Energy Harvesting in Wireless Networks (4 papers), Cloud Data Security Solutions (3 papers), Cryptography and Data Security (2 papers) and Advanced MIMO Systems Optimization (2 papers). The work is most often cited by research in Computer Networks and Communications (293 citations), Electrical and Electronic Engineering (532 citations), Signal Processing (96 citations), Artificial Intelligence (252 citations) and Hardware and Architecture (36 citations). Runfa Liao has collaborated with scholars based in China, Chile and Sweden. Frequent co-authors include Fei Pan, Hong Wen, Huanhuan Song, Jie Tang, Lin Hu, Hong Wen, Bin Wu, Yixin Jiang, Jinsong Wu and Xiumin Wang. Their work appears in journals such as IEEE Transactions on Vehicular Technology, IEEE Wireless Communications Letters, IEEE Access, IEEE Internet of Things Journal and IEEE Transactions on Emerging Topics in Computational Intelligence.

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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