Yiwei He
Impact in
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- Nanoparticle-Based Drug Delivery
Papers in ⓘ
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- Hepatocellular Carcinoma Treatment and Prognosis 4
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- Multimodal Machine Learning Applications 4
- Co-authors
- Lili Qin (3 shared papers)Yao Qin (3 shared papers)Yingjie Tian (4 shared papers)Ai Du (3 shared papers)Dalian Liu (2 shared papers)Xinyu Zhao (1 shared paper)Ting Zhang (1 shared paper)Jingjing Tang (2 shared papers)
- Journals
- Journal of Materials Chemistry B (2 papers)Molecules (2 papers)Optics Express (1 paper)Information Sciences (1 paper)Applied Optics (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Yiwei He
22 papers receiving 270 citations
Peers
Comparison fields: 5 of 82
- Biomaterials 35
- Geriatrics and Gerontology 10
- Biophysics 14
- Computer Vision and Pattern Recognition 44
- Molecular Medicine 9
Countries citing papers authored by Yiwei He
This map shows the geographic impact of Yiwei He'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 Yiwei He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiwei He more than expected).
Fields of papers citing papers by Yiwei He
This network shows the impact of papers produced by Yiwei He. 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 Yiwei He. The network helps show where Yiwei He may publish in the future.
Co-authors
The 25 scholars most cited alongside Yiwei He, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 41 | |
| 2 | 2022 | 26 | |
| 3 | 2020 | 24 | |
| 4 | 2023 | 23 | |
| 5 | 2023 | 22 | |
| 6 | 2019 | 21 | |
| 7 | 2022 | 20 | |
| 8 | 2020 | 16 | |
| 9 | 2017 | 13 | |
| 10 | 2024 | 12 | |
| 11 | 2017 | 11 | |
| 12 | 2022 | 9 | |
| 13 | 2023 | 9 | |
| 14 | 2021 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2018 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2018 | 2 |
About Yiwei He
Yiwei He is a scholar working on Hepatology, Computer Vision and Pattern Recognition, Geriatrics and Gerontology, Biomaterials and Electronic, Optical and Magnetic Materials, having authored 25 papers that have together received 278 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Multimodal Machine Learning Applications (4 papers), Gold and Silver Nanoparticles Synthesis and Applications (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Machine Learning and ELM (3 papers) and Nanoparticle-Based Drug Delivery (2 papers). The work is most often cited by research in Biomaterials (35 citations), Geriatrics and Gerontology (10 citations), Biophysics (14 citations), Computer Vision and Pattern Recognition (44 citations) and Molecular Medicine (9 citations). Yiwei He has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Lili Qin, Yao Qin, Yingjie Tian, Ai Du, Dalian Liu, Xinyu Zhao, Ting Zhang, Jingjing Tang, Xi Hou and Jingyu Sun. Their work appears in journals such as Journal of Materials Chemistry B, Molecules, Optics Express, Information Sciences and Applied Optics.
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.