Song Li

1.9k citations
56 papers · 864 indexed · h-index 14
Topics
Advanced Vision and Imaging (9 papers)CRISPR and Genetic Engineering (8 papers)Advanced Image Processing Techniques (7 papers)
Journals
Nucleic Acids ResearchJournal of Clinical InvestigationSHILAP Revista de lepidopterología
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Song Li

50 papers receiving 851 citations

Peers

Song Li
Comparison fields: 5 of 126
  • Molecular Biology 452
  • Cell Biology 243
  • Biomedical Engineering 142
  • Immunology and Allergy 108
  • Genetics 58
Replace Xiaolong Li with:
Xiaolong Li China
Christine A. Kelley United States
Ya‐Wen Liu Taiwan
Qingjia Chi China
Takumi Takahashi Japan
Xuan Cao China
Ana‐Maria Pena France
Zhike Zi Germany
Hongxia Zhao China
Chi‐Hung Lin Taiwan
Song Li relative to Xiaolong Li China Xiaolong Li's profile →
Citations per field
00.5×2.6×
Xiaolong Li · 1×
Citations per year

Countries citing papers authored by Song Li

Since Specialization
Citations

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

Fields of papers citing papers by Song Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Li

This figure shows the co-authorship network connecting the top 25 collaborators of Song Li. A scholar is included among the top collaborators of Song Li 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 Song Li. Song Li 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 0
2 13
3 0
4 2
5 10
6 3
7 3
8 22
9 6
10 21
11 12
12 16
13 12
14 10
15 1
16 52
17 11
18 41
19
Modeling Topic-Level Academic Influence in Scientific Literatures.
6
20 122

About Song Li

Song Li is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Media Technology, having authored 56 papers that have together received 864 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (9 papers), CRISPR and Genetic Engineering (8 papers) and Advanced Image Processing Techniques (7 papers). The work is most often cited by research in Immunology and Allergy (108 citations), Cell Biology (243 citations) and Molecular Biology (452 citations). Song Li has collaborated with scholars based in China, United States and France. Frequent co-authors include Shu Chien, Shunichi Usami, Nobuyoshi Azuma, Ying‐Li Hu, Bauer E. Sumpio, Xiong Wang, Anthony Ratcliffe, Yi‐Shuan Li, Martin A. Schwartz and Micah Dembo. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

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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