Aiguo Fei

659 citations
44 papers · 364 · h-index 10

Impact in

Papers in

Aiguo Fei

41 papers receiving 354 citations

Peers

Aiguo Fei
Comparison fields: 5 of 38
  • Computer Networks and Communications 236
  • Aerospace Engineering 118
  • Electrical and Electronic Engineering 161
  • Computer Vision and Pattern Recognition 44
  • Software 8
Replace Mohamed Salem with:
Mohamed Salem Canada
Akshay Gadre United States
Hamed Hellaoui Finland
Samira Afzal Austria
Aly Sabri Abdalla United States
Mark Yep-Kui Chua Canada
Kamaludin Mohamad Yusof Malaysia
Mahdi Asadpour Switzerland
Khalid Aldubaikhy Canada
Aiguo Fei relative to Mohamed Salem Canada Mohamed Salem's profile →
Citations per field
00.5×10×15×18.7×
Mohamed Salem · 1×
Citations per year

Countries citing papers authored by Aiguo Fei

Since Specialization
Citations

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

Fields of papers citing papers by Aiguo Fei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200267
2 201952
3 200248
4 200223
5 202016
6 202016
7 201911
8 202311
9 201910
10 20239
11 20248
12 20227
13 20237
14 20236
15 20196
16 20196
17
On the Construction of Low Cost Multicast Trees with Bandwidth Reservation
19985
18 20235
19 20234
20 20234

About Aiguo Fei

Aiguo Fei is a scholar working on Computer Networks and Communications, Aerospace Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 44 papers that have together received 364 indexed citations. Recurring topics across this work include UAV Applications and Optimization (14 papers), Opportunistic and Delay-Tolerant Networks (9 papers), Caching and Content Delivery (7 papers), Mobile Ad Hoc Networks (6 papers), IoT and Edge/Fog Computing (6 papers), Indoor and Outdoor Localization Technologies (6 papers), Cooperative Communication and Network Coding (5 papers) and Advanced Wireless Communication Technologies (5 papers). The work is most often cited by research in Computer Networks and Communications (236 citations), Aerospace Engineering (118 citations), Electrical and Electronic Engineering (161 citations), Computer Vision and Pattern Recognition (44 citations) and Software (8 citations). Aiguo Fei has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Li Wang, Mário Gerla, Jun‐Hong Cui, Michalis Faloutsos, Lianming Xu, Dirceu Cavendish, Liang Li, Ruoguang Li, Weiping Liu and Ningning Liu. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Mobile Computing, IEEE Journal of Selected Topics in Signal Processing, IEEE Wireless Communications 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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