Yahui Peng
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
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- Prostate Cancer Diagnosis and Treatment
- Prostate Cancer Treatment and Research
Papers in
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- Radiomics and Machine Learning in Medical Imaging 23
- Medical Imaging Techniques and Applications 13
- Retinal Imaging and Analysis 7
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- Medical Image Segmentation Techniques 17
- Video Surveillance and Tracking Methods 9
- Co-authors
- Yulei Jiang (20 shared papers)Aytekin Oto (20 shared papers)Houjin Chen (38 shared papers)Tatjana Antic (14 shared papers)Yanfeng Li (31 shared papers)Maryellen L. Giger (5 shared papers)Christine Schmid‐Tannwald (3 shared papers)Ila Sethi (3 shared papers)
- Journals
- Journal of Magnetic Resonance Imaging (4 papers)Medicine (4 papers)Multimedia Tools and Applications (4 papers)Radiology (4 papers)Sensors (4 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Yahui Peng
123 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 142
- Radiology, Nuclear Medicine and Imaging 572
- Pulmonary and Respiratory Medicine 666
- Computer Vision and Pattern Recognition 340
- Rheumatology 176
- Urology 54
Countries citing papers authored by Yahui Peng
This map shows the geographic impact of Yahui 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 Yahui Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yahui Peng more than expected).
Fields of papers citing papers by Yahui Peng
This network shows the impact of papers produced by Yahui 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 Yahui Peng. The network helps show where Yahui Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Yahui 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 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 223 | |
| 2 | 2014 | 161 | |
| 3 | 2020 | 88 | |
| 4 | 2013 | 79 | |
| 5 | 2010 | 75 | |
| 6 | 2014 | 68 | |
| 7 | 2015 | 67 | |
| 8 | 2019 | 64 | |
| 9 | 2022 | 60 | |
| 10 | 2014 | 49 | |
| 11 | 2014 | 48 | |
| 12 | 2013 | 43 | |
| 13 | 2019 | 39 | |
| 14 | 2021 | 38 | |
| 15 | 2021 | 37 | |
| 16 | 2023 | 36 | |
| 17 | 2016 | 36 | |
| 18 | 2011 | 36 | |
| 19 | 2017 | 35 | |
| 20 | 2022 | 35 |
About Yahui Peng
Yahui Peng is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine, Biomedical Engineering and Artificial Intelligence, having authored 129 papers that have together received 2.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (23 papers), Medical Image Segmentation Techniques (17 papers), Prostate Cancer Diagnosis and Treatment (17 papers), AI in cancer detection (16 papers), Medical Imaging Techniques and Applications (13 papers), Video Surveillance and Tracking Methods (9 papers), Retinal Imaging and Analysis (7 papers) and Advanced Radiotherapy Techniques (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (572 citations), Pulmonary and Respiratory Medicine (666 citations), Computer Vision and Pattern Recognition (340 citations), Rheumatology (176 citations) and Urology (54 citations). Yahui Peng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yulei Jiang, Aytekin Oto, Houjin Chen, Tatjana Antic, Yanfeng Li, Maryellen L. Giger, Christine Schmid‐Tannwald, Ila Sethi, Scott Eggener and Scott E. Eggener. Their work appears in journals such as Journal of Magnetic Resonance Imaging, Medicine, Multimedia Tools and Applications, Radiology and Sensors.
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.