Yu-Shi Liu
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- Nanoplatforms for cancer theranostics 3
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- Traditional Chinese Medicine Analysis 2
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- Medical Image Segmentation Techniques 2
- Video Surveillance and Tracking Methods 2
- Image Retrieval and Classification Techniques 2
- Context-Aware Activity Recognition Systems 2
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- Nanoparticle-Based Drug Delivery 2
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- Topological and Geometric Data Analysis 2
- Journals
- The Journal of Comparative Neurology (1 paper)ACS Applied Materials & Interfaces (2 papers)International Journal of Molecular Sciences (1 paper)
- Partner nations
- ChinaUnited StatesBulgaria
In The Last Decade
Yu-Shi Liu
25 papers receiving 510 citations
Peers
Comparison fields: 5 of 109
- Molecular Medicine 23
- Biomedical Engineering 138
- Complementary and alternative medicine 24
- Materials Chemistry 134
- Pharmacology 25
Countries citing papers authored by Yu-Shi Liu
This map shows the geographic impact of Yu-Shi 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 Yu-Shi Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-Shi Liu more than expected).
Fields of papers citing papers by Yu-Shi Liu
This network shows the impact of papers produced by Yu-Shi 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 Yu-Shi Liu. The network helps show where Yu-Shi Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yu-Shi Liu, 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 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 | |
| 7 | 2025 | 0 | |
| 8 | 2025 | 0 | |
| 9 | 2024 | 10 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2023 | 18 | |
| 14 | 2023 | 5 | |
| 15 | 2023 | 13 | |
| 16 | 2022 | 11 | |
| 17 | 2020 | 85 | |
| 18 | 2019 | 37 | |
| 19 | 2008 | 21 | |
| 20 | Separation and purification of salvianolic acids from Salvia miltiorrhiza | 2007 | 1 |
About Yu-Shi Liu
Yu-Shi Liu is a scholar working on Molecular Medicine, Computer Vision and Pattern Recognition and Complementary and alternative medicine, having authored 33 papers that have together received 519 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (3 papers), Medical Image Segmentation Techniques (2 papers), Traditional Chinese Medicine Analysis (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Video Surveillance and Tracking Methods (2 papers), Image Retrieval and Classification Techniques (2 papers), Topological and Geometric Data Analysis (2 papers) and Context-Aware Activity Recognition Systems (2 papers). The work is most often cited by research in Molecular Medicine (23 citations), Biomedical Engineering (138 citations) and Complementary and alternative medicine (24 citations). Yu-Shi Liu has collaborated with scholars based in China, United States and Bulgaria. Frequent co-authors include Lijian Chen, Xu Zhao, Xiu‐Ping Yan, Yiping Guo, Li Guo, Jialin Liu, Minghao Yuan, Jiawen Song, Yan Yan and Ailing Wei. Their work appears in journals such as The Journal of Comparative Neurology, ACS Applied Materials & Interfaces and International Journal of Molecular Sciences.
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.