Yu Fu
Impact in
- Materials Chemistry top 5%
- Carbon and Quantum Dots Applications
- Nanocluster Synthesis and Applications
- Luminescence and Fluorescent Materials
- Quantum Dots Synthesis And Properties
- Advanced Nanomaterials in Catalysis
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- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Radiomics and Machine Learning in Medical Imaging 20
- COVID-19 diagnosis using AI 6
- Co-authors
- Xiaohuan Zhao (2 shared papers)Yubin Song (2 shared papers)Shoujun Zhu (2 shared papers)Shitong Zhang (1 shared paper)Bai Yang (1 shared paper)Li Wang (1 shared paper)Hao Zhang (1 shared paper)Yang Bai (1 shared paper)
- Journals
- IEEE Journal of Biomedical and Health Informatics (4 papers)New Journal of Chemistry (3 papers)RSC Advances (3 papers)Biomedical Signal Processing and Control (3 papers)Medicine (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yu Fu
100 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Materials Chemistry 1.3k
- Radiology, Nuclear Medicine and Imaging 356
- Health Informatics 20
- Biomaterials 183
- Biomedical Engineering 547
Countries citing papers authored by Yu Fu
This map shows the geographic impact of Yu Fu'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 Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Fu more than expected).
Fields of papers citing papers by Yu Fu
This network shows the impact of papers produced by Yu Fu. 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 Fu. The network helps show where Yu Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Fu, 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 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Investigation from chemical structure to photoluminescent mechanism: a type of carbon dots from the pyrolysis of citric acid and an amine Hit paper breakdown → | 2015 | 696 |
| 2 | 2014 | 403 | |
| 3 | 2020 | 151 | |
| 4 | 2014 | 127 | |
| 5 | 2017 | 87 | |
| 6 | 2019 | 68 | |
| 7 | 2020 | 50 | |
| 8 | 2018 | 49 | |
| 9 | 2002 | 49 | |
| 10 | 2020 | 47 | |
| 11 | 2019 | 45 | |
| 12 | 2022 | 41 | |
| 13 | 2021 | 40 | |
| 14 | 2022 | 39 | |
| 15 | 2021 | 36 | |
| 16 | 2020 | 35 | |
| 17 | 2024 | 33 | |
| 18 | 2019 | 28 | |
| 19 | 2021 | 27 | |
| 20 | 2020 | 26 |
About Yu Fu
Yu Fu is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Pulmonary and Respiratory Medicine, Biomedical Engineering and Materials Chemistry, having authored 114 papers that have together received 2.6k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (20 papers), Lung Cancer Diagnosis and Treatment (10 papers), Nanoplatforms for cancer theranostics (9 papers), COVID-19 diagnosis using AI (6 papers), Colorectal Cancer Surgical Treatments (6 papers), Conducting polymers and applications (5 papers), Transition Metal Oxide Nanomaterials (5 papers) and Advanced X-ray and CT Imaging (5 papers). The work is most often cited by research in Materials Chemistry (1.3k citations), Radiology, Nuclear Medicine and Imaging (356 citations), Health Informatics (20 citations), Biomaterials (183 citations) and Biomedical Engineering (547 citations). Yu Fu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiaohuan Zhao, Yubin Song, Shoujun Zhu, Shitong Zhang, Bai Yang, Li Wang, Hao Zhang, Yang Bai, Siyuan Xiang and Junhu Zhang. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, New Journal of Chemistry, RSC Advances, Biomedical Signal Processing and Control and Medicine.
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.