Baojun Liu

81 total papers · 750 total citations
43 papers, 430 citations indexed

About

Baojun Liu is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Baojun Liu has authored 43 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Networks and Communications, 29 papers in Artificial Intelligence and 17 papers in Information Systems. Recurrent topics in Baojun Liu's work include Network Security and Intrusion Detection (27 papers), Internet Traffic Analysis and Secure E-voting (24 papers) and Spam and Phishing Detection (14 papers). Baojun Liu is often cited by papers focused on Network Security and Intrusion Detection (27 papers), Internet Traffic Analysis and Secure E-voting (24 papers) and Spam and Phishing Detection (14 papers). Baojun Liu collaborates with scholars based in China, United States and Saudi Arabia. Baojun Liu's co-authors include Haixin Duan, Zhou Li, Shuang Hao, Chaoyi Lu, Ying Liu, Zaifeng Zhang, Min Yang, Yiming Zhang, Ying Liu and Xiaojing Liao and has published in prestigious journals such as IEEE Access, Colloids and Surfaces A Physicochemical and Engineering Aspects and IEEE Transactions on Dependable and Secure Computing.

In The Last Decade

Baojun Liu

38 papers receiving 421 citations

Author Peers

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

Author						Papers	Cites
Baojun Liu	291	273	185	130	108	43	430
Mattijs Jonker	352 1.2×	279 1.0×	125 0.7×	109 0.8×	59 0.5×	47	445
Alexander Wiesmaier	279 1.0×	148 0.5×	174 0.9×	61 0.5×	75 0.7×	39	463
Giovane C. M. Moura	379 1.3×	275 1.0×	152 0.8×	80 0.6×	114 1.1×	36	452
Christoforos Ntantogian	181 0.6×	125 0.5×	218 1.2×	168 1.3×	81 0.8×	45	392
Qingchuan Zhao	152 0.5×	203 0.7×	186 1.0×	330 2.5×	72 0.7×	29	481
Daehyeok Kim	322 1.1×	109 0.4×	156 0.8×	122 0.9×	125 1.2×	32	483
Maciej Korczyński	338 1.2×	280 1.0×	160 0.9×	144 1.1×	66 0.6×	32	443
Elankayer Sithirasenan	266 0.9×	156 0.6×	115 0.6×	102 0.8×	55 0.5×	32	377
Yu‐Sung Wu	403 1.4×	177 0.6×	190 1.0×	149 1.1×	96 0.9×	34	493
Felix Klaedtke	250 0.9×	253 0.9×	91 0.5×	48 0.4×	60 0.6×	32	477

Countries citing papers authored by Baojun Liu

Since Specialization

Citations

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

Fields of papers citing papers by Baojun Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baojun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Baojun Liu. A scholar is included among the top collaborators of Baojun Liu 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 Baojun Liu. Baojun Liu 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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