Bei Guan

42 total papers · 421 total citations
24 papers, 253 citations indexed

About

Bei Guan is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Bei Guan has authored 24 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Information Systems, 12 papers in Artificial Intelligence and 9 papers in Computer Networks and Communications. Recurrent topics in Bei Guan's work include Network Security and Intrusion Detection (5 papers), Internet Traffic Analysis and Secure E-voting (4 papers) and Software Engineering Research (4 papers). Bei Guan is often cited by papers focused on Network Security and Intrusion Detection (5 papers), Internet Traffic Analysis and Secure E-voting (4 papers) and Software Engineering Research (4 papers). Bei Guan collaborates with scholars based in China, United States and Qatar. Bei Guan's co-authors include Issa Khalil, Ting Yu, Yongji Wang, Daoguang Zan, Jian–Guang Lou, Zeqi Lin, Samee U. Khan, Jingzheng Wu, Yanjun Wu and Weizhu Chen and has published in prestigious journals such as Knowledge-Based Systems, Thyroid and Environment Development and Sustainability.

In The Last Decade

Bei Guan

24 papers receiving 244 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Bei Guan	133	119	109	61	33	24	253
Raj Joshi	176 1.3×	109 0.9×	90 0.8×	42 0.7×	8 0.2×	29	311
J. S. Riordon	60 0.5×	58 0.5×	234 2.1×	70 1.1×	3 0.1×	28	314
Zhaoyan Xu	85 0.6×	70 0.6×	126 1.2×	104 1.7×	9 0.3×	19	184
Narges Khakpour	125 0.9×	75 0.6×	85 0.8×	36 0.6×	21 0.6×	23	187
Charles B. Weinstock	105 0.8×	118 1.0×	86 0.8×	16 0.3×	85 2.6×	23	270
Anton V. Uzunov	81 0.6×	164 1.4×	125 1.1×	92 1.5×	22 0.7×	20	242
Oksana Tkachuk	148 1.1×	100 0.8×	51 0.5×	67 1.1×	206 6.2×	26	298
Ting Dai	144 1.1×	99 0.8×	115 1.1×	50 0.8×	55 1.7×	25	287
Amel Mammar	138 1.0×	112 0.9×	148 1.4×	66 1.1×	83 2.5×	31	295
Mariam Lahami	70 0.5×	90 0.8×	69 0.6×	16 0.3×	37 1.1×	20	170

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-authorship network of co-authors of Bei Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Bei Guan. A scholar is included among the top collaborators of Bei Guan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bei Guan. Bei Guan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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