Yixi Liu

42 total papers · 454 total citations
27 papers, 315 citations indexed

About

Yixi Liu is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Biochemistry. According to data from OpenAlex, Yixi Liu has authored 27 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Biochemistry. Recurrent topics in Yixi Liu's work include Traditional and Medicinal Uses of Annonaceae (7 papers), Face and Expression Recognition (7 papers) and Phytochemical compounds biological activities (5 papers). Yixi Liu is often cited by papers focused on Traditional and Medicinal Uses of Annonaceae (7 papers), Face and Expression Recognition (7 papers) and Phytochemical compounds biological activities (5 papers). Yixi Liu collaborates with scholars based in China, United States and Singapore. Yixi Liu's co-authors include Jiancheng Lv, Shudong Huang, Peggy J. Brodie, Liva Harinantenaina, David G. I. Kingston, Vincent E. Rasamison, Ivor W. Tsang, Zenglin Xu, Etienne Rakotobe and María B. Cassera and has published in prestigious journals such as Cell, Circulation and Nature Methods.

In The Last Decade

Yixi Liu

26 papers receiving 313 citations

Author Peers

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

Author						Papers	Cites
Yixi Liu	111	77	59	42	35	27	315
J.J. Rowland	198 1.8×	15 0.2×	28 0.5×	4 0.1×	48 1.4×	24	350
Upendra Kumar	88 0.8×	33 0.4×	20 0.3×	10 0.2×	19 0.5×	43	331
Jie Li	87 0.8×	33 0.4×	17 0.3×	14 0.3×	16 0.5×	17	300
Jianying Liu	106 1.0×	51 0.7×	38 0.6×	4 0.1×	14 0.4×	17	309
Yaqian Li	61 0.5×	91 1.2×	26 0.4×	35 0.8×	32 0.9×	45	322
Heng Ma	138 1.2×	18 0.2×	19 0.3×	9 0.2×	14 0.4×	29	342
Zechen Wang	152 1.4×	11 0.1×	27 0.5×	6 0.1×	23 0.7×	27	304
Jianqiang Song	103 0.9×	31 0.4×	28 0.5×	12 0.3×	26 0.7×	29	335
Mio Nakamura	144 1.3×	7 0.1×	21 0.4×	40 1.0×	51 1.5×	26	313
Alexandre Gonçalves Silva	38 0.3×	42 0.5×	7 0.1×	13 0.3×	5 0.1×	32	303

Countries citing papers authored by Yixi Liu

Since Specialization

Citations

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

Fields of papers citing papers by Yixi Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yixi Liu

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