Bei Guan

428 citations
24 papers · 256 · h-index 9

Impact in

Papers in

    • Software Engineering Research 4
    • Cloud Computing and Resource Management 3
    • Internet Traffic Analysis and Secure E-voting 4
    • Security and Verification in Computing 3
    • Topic Modeling 3

Bei Guan

24 papers receiving 247 citations

Peers

Bei Guan
Comparison fields: 5 of 52
  • Software 33
  • Signal Processing 61
  • Information Systems 120
  • Computer Networks and Communications 110
  • Artificial Intelligence 133
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Bei Guan relative to Benjamin Beurdouche France Benjamin Beurdouche's profile →
Citations per field
00.5×3.3×
Benjamin Beurdouche · 1×
Citations per year

Countries citing papers authored by Bei Guan

Since Specialization
Citations

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

Fields of papers citing papers by Bei Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201657
2 202237
3 202122
4 202220
5 202019
6 201218
7 201418
8 201815
9 202111
10 20237
11 20197
12 20246
13 20226
14 20232
15 20212
16 20251
17 20251
18 20231
19 20241
20 20231

About Bei Guan

Bei Guan is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Hardware and Architecture, having authored 24 papers that have together received 256 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (5 papers), Software Engineering Research (4 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Distributed and Parallel Computing Systems (3 papers), Security and Verification in Computing (3 papers), Cloud Computing and Resource Management (3 papers), Topic Modeling (3 papers) and Software Testing and Debugging Techniques (2 papers). The work is most often cited by research in Software (33 citations), Signal Processing (61 citations), Information Systems (120 citations), Computer Networks and Communications (110 citations) and Artificial Intelligence (133 citations). Bei Guan has collaborated with scholars based in China, United States and Qatar. Frequent co-authors include Ting Yu, Issa Khalil, Yongji Wang, Daoguang Zan, Zeqi Lin, Jian–Guang Lou, Jingzheng Wu, Samee U. Khan, Yanjun Wu and Weizhu Chen. Their work appears in journals such as ACM Transactions on Software Engineering and Methodology, Environment Development and Sustainability, Knowledge-Based Systems, IEEE Transactions on Cloud Computing and ACM Transactions on Privacy and Security.

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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