Shukai Liu

43 total papers · 630 total citations
24 papers, 428 citations indexed

About

Shukai Liu is a scholar working on Information Systems, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Shukai Liu has authored 24 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 8 papers in Artificial Intelligence and 4 papers in Epidemiology. Recurrent topics in Shukai Liu's work include Recommender Systems and Techniques (6 papers), Advanced Graph Neural Networks (5 papers) and Influenza Virus Research Studies (3 papers). Shukai Liu is often cited by papers focused on Recommender Systems and Techniques (6 papers), Advanced Graph Neural Networks (5 papers) and Influenza Virus Research Studies (3 papers). Shukai Liu collaborates with scholars based in China, United States and United Kingdom. Shukai Liu's co-authors include Leyu Lin, Bo Zhang, Ruobing Xie, Hongyuan Zha, Ming Liao, Wei Zhang, Wen Wang, Wenbao Qi, Huanan Li and Lihong Huang and has published in prestigious journals such as Acta Materialia, Scientific Reports and Frontiers in Microbiology.

In The Last Decade

Shukai Liu

22 papers receiving 423 citations

Author Peers

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

Author						Papers	Cites
Shukai Liu	188	160	153	100	78	24	428
Bernhard Ganter	94 0.5×	188 1.2×	70 0.5×	47 0.5×	54 0.7×	32	435
Xiaolu Lu	73 0.4×	63 0.4×	44 0.3×	23 0.2×	167 2.1×	29	445
Tao Guan	20 0.1×	70 0.4×	143 0.9×	100 1.0×	66 0.8×	32	393
Chia‐Hung Liao	70 0.4×	31 0.2×	243 1.6×	103 1.0×	164 2.1×	25	481
Neha Gupta	80 0.4×	219 1.4×	54 0.4×	8 0.1×	26 0.3×	15	467
Xu Wang	33 0.2×	137 0.9×	18 0.1×	11 0.1×	27 0.3×	28	374
Gyunam Park	43 0.2×	30 0.2×	13 0.1×	102 1.0×	104 1.3×	58	413
Ai Kawazoe	43 0.2×	170 1.1×	205 1.3×	18 0.2×	18 0.2×	18	445
Zeeshan Iqbal	48 0.3×	53 0.3×	24 0.2×	19 0.2×	77 1.0×	43	490
Lei Jiang	86 0.5×	72 0.5×	33 0.2×	4 0.0×	24 0.3×	30	393

Countries citing papers authored by Shukai Liu

Since Specialization

Citations

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

Fields of papers citing papers by Shukai Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shukai Liu

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