Song Li
- Immunology and Allergy top 5%
- Cell Biology top 5%
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- CRISPR and Genetic Engineering 8
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- Advanced Vision and Imaging 9
- Advanced Image Processing Techniques 7
- Image and Signal Denoising Methods 4
- Advanced Data Compression Techniques 3
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- Video Coding and Compression Technologies 4
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- Spectroscopy and Quantum Chemical Studies 3
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- Plant-Microbe Interactions and Immunity 3
- Co-authors
- Shu ChienShunichi UsamiNobuyoshi AzumaYing‐Li HuBauer E. SumpioXiong WangAnthony RatcliffeYi‐Shuan Li
- Journals
- Nucleic Acids Research (1 paper)Journal of Clinical Investigation (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Song Li
50 papers receiving 851 citations
Peers
Comparison fields: 5 of 126
- Immunology and Allergy 108
- Cell Biology 243
- Molecular Biology 452
- Aging 7
- Business and International Management 7
Countries citing papers authored by Song Li
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
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
The 25 scholars most cited alongside Song Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 13 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 10 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 22 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 21 | |
| 11 | 2023 | 12 | |
| 12 | 2023 | 16 | |
| 13 | 2022 | 12 | |
| 14 | 2022 | 10 | |
| 15 | 2021 | 1 | |
| 16 | 2020 | 52 | |
| 17 | 2018 | 11 | |
| 18 | 2018 | 41 | |
| 19 | Modeling Topic-Level Academic Influence in Scientific Literatures. | 2016 | 6 |
| 20 | 2001 | 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), Advanced Image Processing Techniques (7 papers), Video Coding and Compression Technologies (4 papers), Image and Signal Denoising Methods (4 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Plant-Microbe Interactions and Immunity (3 papers) and Advanced Data Compression Techniques (3 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.