Ye Du
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Biophysics top 5%
- Spectroscopy Techniques in Biomedical and Chemical Research
Papers in
-
- Domain Adaptation and Few-Shot Learning 3
- Co-authors
- Zehua Fu (3 shared papers)Qingjie Liu (4 shared papers)Yunhong Wang (2 shared papers)Na Wei (4 shared papers)Shu‐Heng Jiang (3 shared papers)Gang Zhao (4 shared papers)Aiping Shi (6 shared papers)Zhimin Fan (2 shared papers)
- Journals
- Frontiers in Oncology (3 papers)Theoretical Computer Science (2 papers)Scientific Reports (2 papers)Oncology Reports (2 papers)Breast Cancer Research (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ye Du
45 papers receiving 910 citations
Peers
Comparison fields: 5 of 129
- Cancer Research 193
- Biophysics 65
- Family Practice 16
- Computer Vision and Pattern Recognition 157
- Management Science and Operations Research 61
Countries citing papers authored by Ye Du
This map shows the geographic impact of Ye Du'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 Ye Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Du more than expected).
Fields of papers citing papers by Ye Du
This network shows the impact of papers produced by Ye Du. 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 Ye Du. The network helps show where Ye Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye Du, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 133 | |
| 2 | 2020 | 94 | |
| 3 | 2015 | 65 | |
| 4 | 2021 | 62 | |
| 5 | 2009 | 60 | |
| 6 | 2020 | 48 | |
| 7 | 2022 | 41 | |
| 8 | 2020 | 39 | |
| 9 | 2017 | 33 | |
| 10 | 2020 | 29 | |
| 11 | 2020 | 29 | |
| 12 | 2023 | 28 | |
| 13 | 2017 | 23 | |
| 14 | 2007 | 22 | |
| 15 | 2016 | 20 | |
| 16 | 2018 | 20 | |
| 17 | ORDERLY HUMAN ACTIVITIES AND SUBSISTENCE ENVIRONMENT | 2001 | 18 |
| 18 | 2017 | 15 | |
| 19 | 2021 | 14 | |
| 20 | 2020 | 12 |
About Ye Du
Ye Du is a scholar working on Artificial Intelligence, Molecular Biology, Management Science and Operations Research, Cancer Research and Economics and Econometrics, having authored 53 papers that have together received 934 indexed citations. Recurring topics across this work include Game Theory and Applications (6 papers), Economic theories and models (4 papers), Spectroscopy Techniques in Biomedical and Chemical Research (4 papers), Spectroscopy and Chemometric Analyses (3 papers), Breast Cancer Treatment Studies (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Game Theory and Voting Systems (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Cancer Research (193 citations), Biophysics (65 citations), Family Practice (16 citations), Computer Vision and Pattern Recognition (157 citations) and Management Science and Operations Research (61 citations). Ye Du has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zehua Fu, Qingjie Liu, Yunhong Wang, Na Wei, Shu‐Heng Jiang, Gang Zhao, Aiping Shi, Zhimin Fan, Xi Chen and Shang‐Hua Teng. Their work appears in journals such as Frontiers in Oncology, Theoretical Computer Science, Scientific Reports, Oncology Reports and Breast Cancer Research.
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.