Lirong Chen

67 total papers · 726 total citations
35 papers, 485 citations indexed

About

Lirong Chen is a scholar working on Information Systems, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Lirong Chen has authored 35 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 7 papers in Molecular Biology and 7 papers in Computational Theory and Mathematics. Recurrent topics in Lirong Chen's work include Computational Drug Discovery Methods (7 papers), Spam and Phishing Detection (4 papers) and Microbial Natural Products and Biosynthesis (4 papers). Lirong Chen is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Spam and Phishing Detection (4 papers) and Microbial Natural Products and Biosynthesis (4 papers). Lirong Chen collaborates with scholars based in China, United States and Germany. Lirong Chen's co-authors include Jiangyong Gu, Xiaojie Xu, Wenli Li, Fang Luo, Gu Yuan, Tongtong Guo, Xiaojie Xu, Tingjun Hou, Junmei Wang and Liang Cao and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Frontiers in Microbiology.

In The Last Decade

Lirong Chen

30 papers receiving 465 citations

Author Peers

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

Author						Papers	Cites
Lirong Chen	157	103	61	60	59	35	485
Bo Zhang	153 1.0×	51 0.5×	8 0.1×	77 1.3×	27 0.5×	33	443
Yuji Sato	116 0.7×	9 0.1×	11 0.2×	116 1.9×	30 0.5×	43	552
Haodong Yang	108 0.7×	97 0.9×	10 0.2×	10 0.2×	28 0.5×	27	423
Yameng Li	96 0.6×	11 0.1×	23 0.4×	13 0.2×	11 0.2×	49	545
Wanting Wu	70 0.4×	17 0.2×	9 0.1×	20 0.3×	14 0.2×	40	520
Heng Weng	73 0.5×	43 0.4×	9 0.1×	13 0.2×	9 0.2×	36	405
Muhammad Arif	97 0.6×	10 0.1×	25 0.4×	74 1.2×	30 0.5×	49	456
Lijuan Su	152 1.0×	21 0.2×	65 1.1×	18 0.3×	17 0.3×	29	469
Marian Buțu	52 0.3×	7 0.1×	58 1.0×	28 0.5×	17 0.3×	38	432
Qi Wang	162 1.0×	20 0.2×	17 0.3×	59 1.0×	23 0.4×	34	453

Countries citing papers authored by Lirong Chen

Since Specialization

Citations

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

Fields of papers citing papers by Lirong Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lirong Chen

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