Weibei Fan

630 citations
62 papers · 360 · h-index 12

Impact in

Papers in

    • Interconnection Networks and Systems 25
    • Software-Defined Networks and 5G 21
    • IoT and Edge/Fog Computing 6
    • Caching and Content Delivery 5
    • Distributed and Parallel Computing Systems 5
    • Cloud Computing and Resource Management 24

Weibei Fan

45 papers receiving 355 citations

Peers

Weibei Fan
Comparison fields: 5 of 43
  • Computer Networks and Communications 256
  • Hardware and Architecture 36
  • Information Systems 113
  • Artificial Intelligence 77
  • Electrical and Electronic Engineering 118
Replace Mo Adda with:
Mo Adda United Kingdom
Jian-Jhih Kuo Taiwan
Abdelquoddouss Laghrissi Finland
Marko Schuba Germany
Jaime Galán–Jiménez Spain
Dian Shen China
Behrang Barekatain Iran
Weiyi Zhang United States
Giuseppe Carella Germany
Danny Soroker United States
Weibei Fan relative to Mo Adda United Kingdom Mo Adda's profile →
Citations per field
00.5×6.2×
Mo Adda · 1×
Citations per year

Countries citing papers authored by Weibei Fan

Since Specialization
Citations

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

Fields of papers citing papers by Weibei Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201948
2 202130
3 201928
4 201819
5 202117
6 201816
7 202216
8 202015
9 202315
10 202114
11 202114
12 202212
13 201811
14 202311
15 202210
16 20238
17 20236
18 20216
19 20235
20 20235

About Weibei Fan

Weibei Fan is a scholar working on Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering, Artificial Intelligence and Hardware and Architecture, having authored 62 papers that have together received 360 indexed citations. Recurring topics across this work include Interconnection Networks and Systems (25 papers), Cloud Computing and Resource Management (24 papers), Software-Defined Networks and 5G (21 papers), Advanced Optical Network Technologies (9 papers), IoT and Edge/Fog Computing (6 papers), Caching and Content Delivery (5 papers), Distributed and Parallel Computing Systems (5 papers) and Parallel Computing and Optimization Techniques (5 papers). The work is most often cited by research in Computer Networks and Communications (256 citations), Hardware and Architecture (36 citations), Information Systems (113 citations), Artificial Intelligence (77 citations) and Electrical and Electronic Engineering (118 citations). Weibei Fan has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Ruchuan Wang, Zhijie Han, Jianxi Fan, Peng Li, Fu Xiao, Jing He, Mengjie Lv, Shui Yu, Xiaohua Jia and Xiaobai Chen. Their work appears in journals such as IEEE Transactions on Reliability, IEEE Transactions on Computers, IEEE Transactions on Network Science and Engineering, IEEE Transactions on Parallel and Distributed Systems and Journal of Parallel and Distributed Computing.

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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