Fei Pan

1.4k citations
40 papers · 1.0k · h-index 19

Impact in

Papers in

Fei Pan

36 papers receiving 987 citations

Peers

Fei Pan
Comparison fields: 5 of 60
  • Computer Networks and Communications 416
  • Electrical and Electronic Engineering 685
  • Signal Processing 120
  • Artificial Intelligence 299
  • Hardware and Architecture 54
Replace Huanhuan Song with:
Huanhuan Song China
Runfa Liao China
He Fang China
Brahmjit Singh India
Paul Yu United States
Todor Cooklev United States
Muhammad R. A. Khandaker United Kingdom
Iznan H. Hasbullah Malaysia
Peng Hao China
Fei Pan relative to Huanhuan Song China Huanhuan Song's profile →
Citations per field
00.5×3.8×
Huanhuan Song · 1×
Citations per year

Countries citing papers authored by Fei Pan

Since Specialization
Citations

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

Fields of papers citing papers by Fei Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017178
2 201980
3 201973
4 201868
5 201968
6 201962
7 201862
8 201751
9 201649
10 201946
11 201729
12 201629
13 201924
14 201624
15 201622
16 201820
17 201519
18 201819
19 201918
20 202015

About Fei Pan

Fei Pan is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Information Systems and Biomedical Engineering, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (17 papers), Wireless Signal Modulation Classification (8 papers), Cooperative Communication and Network Coding (7 papers), Advanced Wireless Communication Technologies (5 papers), Advanced MIMO Systems Optimization (4 papers), User Authentication and Security Systems (4 papers), Advanced Chemical Sensor Technologies (4 papers) and Security in Wireless Sensor Networks (4 papers). The work is most often cited by research in Computer Networks and Communications (416 citations), Electrical and Electronic Engineering (685 citations), Signal Processing (120 citations), Artificial Intelligence (299 citations) and Hardware and Architecture (54 citations). Fei Pan has collaborated with scholars based in China, Sweden and Chile. Frequent co-authors include Hong Wen, Runfa Liao, Jie Tang, Huanhuan Song, Lin Hu, Bin Wu, Zhibo Pang, Hong Wen, Ming Xiao and Michele Luvisotto. Their work appears in journals such as IEEE Access, IEEE Transactions on Industrial Informatics, Agronomy, IEEE Internet of Things Journal and IEEE Industrial Electronics Magazine.

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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