Yi‐Ting Shen
Impact in
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- Nanoparticle-Based Drug Delivery
Papers in
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- Advanced Neural Network Applications 4
- Advanced Vision and Imaging 3
- Video Surveillance and Tracking Methods 3
- Co-authors
- Ming‐Jiuan Wu (2 shared papers)Jinghua Chen (4 shared papers)Juan Zhou (4 shared papers)Jui-Hung Yen (1 shared paper)Zheng Xiang (4 shared papers)Yang Yang (2 shared papers)Mingyu Wang (2 shared papers)Lizhu Yang (1 shared paper)
- Journals
- PLoS ONE (2 papers)International Journal of Molecular Sciences (2 papers)IEEE Access (2 papers)ACS Applied Materials & Interfaces (2 papers)Journal of Plant Growth Regulation (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Yi‐Ting Shen
52 papers receiving 571 citations
Peers
Comparison fields: 5 of 115
- Biomaterials 63
- Geriatrics and Gerontology 12
- Pharmacology 28
- Complementary and alternative medicine 21
- Pharmacology 42
Countries citing papers authored by Yi‐Ting Shen
This map shows the geographic impact of Yi‐Ting Shen'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 Yi‐Ting Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi‐Ting Shen more than expected).
Fields of papers citing papers by Yi‐Ting Shen
This network shows the impact of papers produced by Yi‐Ting Shen. 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 Yi‐Ting Shen. The network helps show where Yi‐Ting Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi‐Ting Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 67 | |
| 2 | 2020 | 53 | |
| 3 | 2010 | 35 | |
| 4 | 2017 | 35 | |
| 5 | 2020 | 32 | |
| 6 | 2019 | 23 | |
| 7 | 2018 | 22 | |
| 8 | 2011 | 22 | |
| 9 | 2023 | 20 | |
| 10 | 2021 | 19 | |
| 11 | 2022 | 18 | |
| 12 | 2023 | 13 | |
| 13 | 2018 | 12 | |
| 14 | 2021 | 12 | |
| 15 | 2018 | 11 | |
| 16 | 2025 | 10 | |
| 17 | 2014 | 10 | |
| 18 | 2022 | 9 | |
| 19 | 2015 | 9 | |
| 20 | 2018 | 9 |
About Yi‐Ting Shen
Yi‐Ting Shen is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Aerospace Engineering, having authored 56 papers that have together received 580 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (4 papers), Advanced Neural Network Applications (4 papers), Ultrasound Imaging and Elastography (4 papers), Nanoplatforms for cancer theranostics (4 papers), Advanced Vision and Imaging (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Video Surveillance and Tracking Methods (3 papers) and Phytochemistry and Biological Activities (2 papers). The work is most often cited by research in Biomaterials (63 citations), Geriatrics and Gerontology (12 citations), Pharmacology (28 citations), Complementary and alternative medicine (21 citations) and Pharmacology (42 citations). Yi‐Ting Shen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Ming‐Jiuan Wu, Jinghua Chen, Juan Zhou, Jui-Hung Yen, Zheng Xiang, Yang Yang, Mingyu Wang, Lizhu Yang, Aiping Lü and Wei Qi Yan. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences, IEEE Access, ACS Applied Materials & Interfaces and Journal of Plant Growth Regulation.
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.