Mingwei Yu
Impact in
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- Acupuncture Treatment Research Studies
- Complementary and Alternative Medicine Studies
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- Cancer Genomics and Diagnostics
Papers in
- Oncology 8
- Lung Cancer Research Studies 2
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- Fibroblast Growth Factor Research 2
- Angiogenesis and VEGF in Cancer 2
- Co-authors
- Xiaomin Wang (34 shared papers)Guowang Yang (25 shared papers)Xu Sun (17 shared papers)Gan‐Lin Zhang (14 shared papers)Kexin Cao (10 shared papers)Lin Yang (8 shared papers)Wei-Ru Xu (7 shared papers)Nan Nan (6 shared papers)
In The Last Decade
Mingwei Yu
44 papers receiving 779 citations
Peers
Comparison fields: 5 of 118
- Complementary and alternative medicine 62
- Cancer Research 95
- Oncology 150
- Pharmacology 75
- Cell Biology 66
Countries citing papers authored by Mingwei Yu
This map shows the geographic impact of Mingwei Yu'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 Mingwei Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingwei Yu more than expected).
Fields of papers citing papers by Mingwei Yu
This network shows the impact of papers produced by Mingwei Yu. 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 Mingwei Yu. The network helps show where Mingwei Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingwei Yu, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 83 | |
| 2 | 2018 | 66 | |
| 3 | 2015 | 56 | |
| 4 | 2018 | 56 | |
| 5 | 2015 | 46 | |
| 6 | 2017 | 39 | |
| 7 | 2014 | 37 | |
| 8 | 2020 | 35 | |
| 9 | 2017 | 28 | |
| 10 | Integrated vehicle navigation system for urban applications | 2003 | 26 |
| 11 | 2016 | 24 | |
| 12 | 2016 | 23 | |
| 13 | 2013 | 21 | |
| 14 | 2017 | 18 | |
| 15 | 2017 | 17 | |
| 16 | 2022 | 16 | |
| 17 | 2020 | 16 | |
| 18 | 2021 | 13 | |
| 19 | 2017 | 12 | |
| 20 | 2021 | 12 |
About Mingwei Yu
Mingwei Yu is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Artificial Intelligence and Cancer Research, having authored 48 papers that have together received 795 indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (4 papers), Olfactory and Sensory Function Studies (2 papers), Flavonoids in Medical Research (2 papers), Fibroblast Growth Factor Research (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Lung Cancer Research Studies (2 papers), Neural Networks and Applications (2 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Complementary and alternative medicine (62 citations), Cancer Research (95 citations), Oncology (150 citations), Pharmacology (75 citations) and Cell Biology (66 citations). Mingwei Yu has collaborated with scholars based in China, Sweden and Taiwan. Frequent co-authors include Xiaomin Wang, Guowang Yang, Xu Sun, Gan‐Lin Zhang, Kexin Cao, Lin Yang, Wei-Ru Xu, Nan Nan, Qiwei Li and Yan Chen. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Chinese Journal of Integrative Medicine, Trials, Medicine and Biomedical Signal Processing and Control.
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.