Weijun Liu

121 total papers · 571 total citations
77 papers, 379 citations indexed

About

Weijun Liu is a scholar working on Geometry and Topology, Discrete Mathematics and Combinatorics and Computational Theory and Mathematics. According to data from OpenAlex, Weijun Liu has authored 77 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Geometry and Topology, 26 papers in Discrete Mathematics and Combinatorics and 22 papers in Computational Theory and Mathematics. Recurrent topics in Weijun Liu's work include Graph theory and applications (25 papers), Finite Group Theory Research (22 papers) and Coding theory and cryptography (14 papers). Weijun Liu is often cited by papers focused on Graph theory and applications (25 papers), Finite Group Theory Research (22 papers) and Coding theory and cryptography (14 papers). Weijun Liu collaborates with scholars based in China, Serbia and Austria. Weijun Liu's co-authors include Lihua Feng, Zhiwu Li, Xingyu Jiang, Xiaomin Zhu, Minmin Liu, Pengli Zhang, Shubo Chen, Henry X. Liu, Jibin Zhao and Aleksandar Ilić and has published in prestigious journals such as Sustainability, Computers & Industrial Engineering and Applied Mathematics and Computation.

In The Last Decade

Weijun Liu

63 papers receiving 359 citations

Author Peers

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

Author Last Decade Papers Cites
Weijun Liu 161 139 130 81 73 77 379
Cheng Bo 169 1.0× 158 1.1× 31 0.2× 47 0.6× 45 0.6× 48 385
István Kovács 129 0.8× 79 0.6× 341 2.6× 172 2.1× 217 3.0× 61 429
Joseph Zaks 110 0.7× 194 1.4× 89 0.7× 14 0.2× 79 1.1× 56 371
Seymour Lipschutz 125 0.8× 110 0.8× 93 0.7× 72 0.9× 38 0.5× 60 364
Yubin Gao 188 1.2× 211 1.5× 41 0.3× 11 0.1× 116 1.6× 73 375
Sándor Szabó 58 0.4× 169 1.2× 108 0.8× 126 1.6× 183 2.5× 71 399
V. Lokesha 257 1.6× 219 1.6× 24 0.2× 18 0.2× 11 0.2× 65 410
Enqiang Zhu 75 0.5× 220 1.6× 15 0.1× 49 0.6× 42 0.6× 65 398
Wen-ling Huang 42 0.3× 94 0.7× 79 0.6× 20 0.2× 109 1.5× 34 431
Heiko Harborth 113 0.7× 179 1.3× 142 1.1× 29 0.4× 66 0.9× 64 370

Countries citing papers authored by Weijun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Weijun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weijun Liu

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