Yuping Ye
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Optical measurement and interference techniques 17
- Advanced Vision and Imaging 14
- Face recognition and analysis 3
- Geology 6
- 3D Surveying and Cultural Heritage 6
- Co-authors
- Zhan Song (25 shared papers)Cristina Ivan (1 shared paper)Ritsuko Komaki (1 shared paper)María Angélica Cortez (1 shared paper)Kevin Kelnar (1 shared paper)George A. Călin (1 shared paper)Luiz H. Araujo (1 shared paper)David P. Carbone (1 shared paper)
In The Last Decade
Yuping Ye
40 papers receiving 1.0k citations
Yuping Ye's Hit Papers
Peers
Comparison fields: 5 of 126
- Cancer Research 271
- Oncology 286
- Water Science and Technology 132
- Renewable Energy, Sustainability and the Environment 144
- Immunology 152
Countries citing papers authored by Yuping Ye
This map shows the geographic impact of Yuping Ye'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 Yuping Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuping Ye more than expected).
Fields of papers citing papers by Yuping Ye
This network shows the impact of papers produced by Yuping Ye. 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 Yuping Ye. The network helps show where Yuping Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuping Ye, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PDL1 Regulation by p53 via miR-34 Hit paper breakdown → | 2015 | 535 |
| 2 | 2018 | 98 | |
| 3 | 2022 | 59 | |
| 4 | 2012 | 45 | |
| 5 | 2017 | 44 | |
| 6 | 2022 | 37 | |
| 7 | 2022 | 27 | |
| 8 | 2017 | 19 | |
| 9 | 2015 | 16 | |
| 10 | 2023 | 16 | |
| 11 | 2020 | 15 | |
| 12 | 2023 | 14 | |
| 13 | 2022 | 13 | |
| 14 | 2023 | 11 | |
| 15 | 2022 | 11 | |
| 16 | 2020 | 11 | |
| 17 | 2020 | 10 | |
| 18 | 2021 | 9 | |
| 19 | 2022 | 8 | |
| 20 | 2021 | 7 |
About Yuping Ye
Yuping Ye is a scholar working on Computer Vision and Pattern Recognition, Geology, Biomedical Engineering, Molecular Biology and Instrumentation, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Optical measurement and interference techniques (17 papers), Advanced Vision and Imaging (14 papers), 3D Surveying and Cultural Heritage (6 papers), Advanced Optical Sensing Technologies (4 papers), Environmental remediation with nanomaterials (3 papers), MicroRNA in disease regulation (3 papers), Face recognition and analysis (3 papers) and Toxic Organic Pollutants Impact (2 papers). The work is most often cited by research in Cancer Research (271 citations), Oncology (286 citations), Water Science and Technology (132 citations), Renewable Energy, Sustainability and the Environment (144 citations) and Immunology (152 citations). Yuping Ye has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Zhan Song, Cristina Ivan, Ritsuko Komaki, María Angélica Cortez, Kevin Kelnar, George A. Călin, Luiz H. Araujo, David P. Carbone, Sunil Krishnan and Andreas G. Bader. Their work appears in journals such as The Science of The Total Environment, Optics and Lasers in Engineering, Computers & Graphics, JNCI Journal of the National Cancer Institute and Measurement.
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.