Duo Peng
Impact in
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- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Media Technology top 5%
- Remote-Sensing Image Classification
Papers in
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- Molecular Biology Techniques and Applications 19
- Epigenetics and DNA Methylation 3
- Genetics 16
- Forensic and Genetic Research 15
- Co-authors
- Yinjie Lei (7 shared papers)Pingping Zhang (3 shared papers)Weibo Liang (21 shared papers)Yulan Guo (2 shared papers)Zhilong Li (17 shared papers)Qiuhong Ke (5 shared papers)Huan Tian (14 shared papers)Jun Liu (5 shared papers)
In The Last Decade
Duo Peng
40 papers receiving 631 citations
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 209
- Media Technology 66
- Cancer Research 108
- Genetics 151
- Artificial Intelligence 166
Countries citing papers authored by Duo Peng
This map shows the geographic impact of Duo Peng'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 Duo Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duo Peng more than expected).
Fields of papers citing papers by Duo Peng
This network shows the impact of papers produced by Duo Peng. 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 Duo Peng. The network helps show where Duo Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Duo Peng, 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 | 2022 | 96 | |
| 2 | 2020 | 73 | |
| 3 | 2021 | 59 | |
| 4 | 2017 | 52 | |
| 5 | 2021 | 45 | |
| 6 | 2017 | 32 | |
| 7 | 2018 | 27 | |
| 8 | 2019 | 25 | |
| 9 | 2021 | 25 | |
| 10 | 2020 | 20 | |
| 11 | 2023 | 20 | |
| 12 | 2015 | 18 | |
| 13 | 2015 | 17 | |
| 14 | 2015 | 13 | |
| 15 | 2023 | 13 | |
| 16 | 2017 | 12 | |
| 17 | 2021 | 10 | |
| 18 | 2024 | 7 | |
| 19 | 2015 | 7 | |
| 20 | Therapy of 125I particles implantation inhibited the local growth of advanced non-small cell lung cancer: a retrospective clinical study. | 2019 | 7 |
About Duo Peng
Duo Peng is a scholar working on Molecular Biology, Genetics, Cancer Research, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 44 papers that have together received 636 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (19 papers), Forensic and Genetic Research (15 papers), MicroRNA in disease regulation (9 papers), Domain Adaptation and Few-Shot Learning (5 papers), Advanced Neural Network Applications (4 papers), Multimodal Machine Learning Applications (4 papers), Epigenetics and DNA Methylation (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (209 citations), Media Technology (66 citations), Cancer Research (108 citations), Genetics (151 citations) and Artificial Intelligence (166 citations). Duo Peng has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Yinjie Lei, Pingping Zhang, Weibo Liang, Yulan Guo, Zhilong Li, Qiuhong Ke, Huan Tian, Jun Liu, Wen Li and Haifeng Li. Their work appears in journals such as Forensic Science International Genetics, IEEE Transactions on Image Processing, International Journal of Legal Medicine, Archives of Virology and Forensic science international. Genetics supplement series.
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.