Yixi Liu

464 citations
26 papers · 321 indexed · h-index 10
Topics
Traditional and Medicinal Uses of Annonaceae (7 papers)Face and Expression Recognition (6 papers)Phytochemical compounds biological activities (5 papers)

In The Last Decade

Yixi Liu

25 papers receiving 319 citations

Peers

Yixi Liu
Comparison fields: 5 of 81
  • Molecular Biology 113
  • Computer Vision and Pattern Recognition 82
  • Artificial Intelligence 64
  • Biochemistry 43
  • Biomedical Engineering 36
Replace Leslie C. Stewart with:
Leslie C. Stewart United States
David Belanger United States
Nobutoshi Ojima Japan
Wenwen Liu China
Upendra Kumar India
Jong-Chyi Su United States
Milan Gavrilović Serbia
Kimihiko Hori Japan
J.J. Rowland United Kingdom
Yixi Liu relative to Leslie C. Stewart United States Leslie C. Stewart's profile →
Citations per field
00.5×20×40×68×
Leslie C. Stewart · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 2
4 9
5 1
6 9
7 0
8 15
9 28
10 4
11 20
12 6
13 45
14
Abstract 10246: Chronic Beta3-Adrenergic Receptor Antagonist Therapy Rescues Diabetic Cardiomyopathy Through Ca2+/Calmodulin-Dependent Protein Kinase II Inhibition
1
15 8
16 8
17 47
18 21
19 7
20 9

About Yixi Liu

Yixi Liu is a scholar working on Biochemistry, Structural Biology and Biophysics, having authored 26 papers that have together received 321 indexed citations. Recurring topics across this work include Traditional and Medicinal Uses of Annonaceae (7 papers), Face and Expression Recognition (6 papers) and Phytochemical compounds biological activities (5 papers). The work is most often cited by research in Computational Mathematics (11 citations), Biochemistry (43 citations) and Computer Vision and Pattern Recognition (82 citations). Yixi Liu has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Jiancheng Lv, Shudong Huang, David G. I. Kingston, Liva Harinantenaina, Peggy J. Brodie, Ivor W. Tsang, Vincent E. Rasamison, Zenglin Xu, Etienne Rakotobe and María B. Cassera. Their work appears in journals such as Cell, Circulation and Nature Methods.

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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