Shulin Liu

59 total papers · 568 total citations
43 papers, 390 citations indexed

About

Shulin Liu is a scholar working on Biomedical Engineering, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Shulin Liu has authored 43 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Biomedical Engineering, 17 papers in Artificial Intelligence and 12 papers in Molecular Biology. Recurrent topics in Shulin Liu's work include Artificial Immune Systems Applications (20 papers), Anomaly Detection Techniques and Applications (13 papers) and Influenza Virus Research Studies (6 papers). Shulin Liu is often cited by papers focused on Artificial Immune Systems Applications (20 papers), Anomaly Detection Techniques and Applications (13 papers) and Influenza Virus Research Studies (6 papers). Shulin Liu collaborates with scholars based in China, Hong Kong and United States. Shulin Liu's co-authors include Dong Li, Hongli Zhang, Xin Sun, Furong Gao, Dong Li, Jia Liu, Dong Li, Ming Gu, Paul A. Janmey and Haihua Xiao and has published in prestigious journals such as Chemical Engineering Journal, Expert Systems with Applications and Virology.

In The Last Decade

Shulin Liu

35 papers receiving 372 citations

Author Peers

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

Author						Papers	Cites
Shulin Liu	169	161	101	78	48	43	390
Dong Li	92 0.5×	135 0.8×	88 0.9×	46 0.6×	46 1.0×	32	342
Zhipeng Xu	95 0.6×	42 0.3×	78 0.8×	71 0.9×	81 1.7×	33	389
Xin Sun	68 0.4×	110 0.7×	225 2.2×	36 0.5×	114 2.4×	40	444
Muhammad Salman	44 0.3×	23 0.1×	84 0.8×	29 0.4×	35 0.7×	56	337
Zhen Gao	76 0.4×	39 0.2×	113 1.1×	30 0.4×	66 1.4×	56	424
Junhao Zhang	96 0.6×	59 0.4×	61 0.6×	41 0.5×	28 0.6×	61	341
Fang Ren	32 0.2×	101 0.6×	31 0.3×	20 0.3×	23 0.5×	45	407
Zhuang Miao	72 0.4×	22 0.1×	46 0.5×	41 0.5×	47 1.0×	38	427
Yousuke Watanabe	103 0.6×	47 0.3×	32 0.3×	50 0.6×	28 0.6×	53	393
Xiangmin Chen	23 0.1×	24 0.1×	82 0.8×	48 0.6×	37 0.8×	34	384

Countries citing papers authored by Shulin Liu

Since Specialization

Citations

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

Fields of papers citing papers by Shulin Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shulin Liu

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