Li Song

1.6k total citations · 1 hit paper
73 papers, 1.1k citations indexed

About

Li Song is a scholar working on Biomedical Engineering, Atomic and Molecular Physics, and Optics and Physiology. According to data from OpenAlex, Li Song has authored 73 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biomedical Engineering, 17 papers in Atomic and Molecular Physics, and Optics and 12 papers in Physiology. Recurrent topics in Li Song's work include Quantum and electron transport phenomena (13 papers), Pain Mechanisms and Treatments (12 papers) and Mechanical and Optical Resonators (7 papers). Li Song is often cited by papers focused on Quantum and electron transport phenomena (13 papers), Pain Mechanisms and Treatments (12 papers) and Mechanical and Optical Resonators (7 papers). Li Song collaborates with scholars based in China, United States and Iran. Li Song's co-authors include Weiwei Jiang, Xingyu Li, Xiaojing Shen, Yijun Li, Yunxia Zuo, Zhao‐Xia Huang, Qi Wang, Chaoran Wu, Lucy Chen and Shuxing Wang and has published in prestigious journals such as Journal of Applied Physics, NeuroImage and Hepatology.

In The Last Decade

Li Song

69 papers receiving 1.1k citations

Hit Papers

Comprehensive review of emerging contaminants: Detection ... 2024 2026 2025 2024 50 100 150

Peers

Li Song
Comparison fields: 5 of 140
  • Biomedical Engineering 297
  • Physiology 162
  • Molecular Biology 142
  • Surgery 98
  • Cellular and Molecular Neuroscience 85
Replace Jingshuang Zhang with:
Jingshuang Zhang China
Jiameng Li China
Yangyang Liu China
Weigang Cui China
Wenjing Tang China
Haibo Shi China
Andrew D. Farmery United Kingdom
Mei Yang China
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Chen Gao China
Jingshuang Zhang China View profile →
Citations per field, relative to Li Song
Li Song · 1×
Citations per year, relative to Li Song
Li Song · 1×

Countries citing papers authored by Li Song

Since Specialization
Citations

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

Fields of papers citing papers by Li Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Song

This figure shows the co-authorship network connecting the top 25 collaborators of Li Song. A scholar is included among the top collaborators of Li Song 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 Li Song. Li Song 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
# Work Indexed citations
1 3
2 4
3 8
4 18
5 12
6 20
7 22
8 6
9 13
10 41
11 3
12 39
13 14
14 24
15 13
16 28
17 54
18 1
19 70
20
Modeling and Characterization of High Frequency Effects in ULSI Interconnects
2

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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