Yiwei He
Impact in
Papers in
-
- Multimodal Machine Learning Applications 4
- Optical measurement and interference techniques 2
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- Nanoplatforms for cancer theranostics 5
- Co-authors
- Ai Du (3 shared papers)Yao Qin (3 shared papers)Lili Qin (3 shared papers)Dalian Liu (3 shared papers)Jingjing Tang (3 shared papers)Ting Zhang (1 shared paper)Xinyu Zhao (1 shared paper)Ting Pan (6 shared papers)
- Journals
- Molecules (2 papers)Journal of Materials Chemistry B (2 papers)IEEE Transactions on Geoscience and Remote Sensing (1 paper)APL Bioengineering (1 paper)Drug Delivery (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yiwei He
26 papers receiving 309 citations
Peers
Comparison fields: 5 of 87
- Geriatrics and Gerontology 13
- Biophysics 16
- Biomaterials 35
- Computer Vision and Pattern Recognition 52
- Hepatology 14
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 42 | |
| 2 | 2023 | 31 | |
| 3 | 2022 | 26 | |
| 4 | 2023 | 25 | |
| 5 | 2020 | 25 | |
| 6 | 2020 | 22 | |
| 7 | 2019 | 22 | |
| 8 | 2022 | 20 | |
| 9 | 2024 | 16 | |
| 10 | 2017 | 13 | |
| 11 | 2017 | 12 | |
| 12 | 2023 | 11 | |
| 13 | 2022 | 10 | |
| 14 | 2023 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2018 | 6 | |
| 18 | 2024 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2018 | 3 |
About Yiwei He
Yiwei He is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Artificial Intelligence, Hepatology and Molecular Biology, having authored 29 papers that have together received 318 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Nanoplatforms for cancer theranostics (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Multimodal Machine Learning Applications (4 papers), Gold and Silver Nanoparticles Synthesis and Applications (4 papers), Machine Learning and ELM (3 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Optical measurement and interference techniques (2 papers). The work is most often cited by research in Geriatrics and Gerontology (13 citations), Biophysics (16 citations), Biomaterials (35 citations), Computer Vision and Pattern Recognition (52 citations) and Hepatology (14 citations). Yiwei He has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ai Du, Yao Qin, Lili Qin, Dalian Liu, Jingjing Tang, Ting Zhang, Xinyu Zhao, Ting Pan, Jingyu Sun and Yingjie Tian. Their work appears in journals such as Molecules, Journal of Materials Chemistry B, IEEE Transactions on Geoscience and Remote Sensing, APL Bioengineering and Drug Delivery.
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.