Yicheng Wu
- Computer Vision and Pattern Recognition top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 10%
- Ophthalmology top 5%
- Biomedical Engineering
- Co-authors
- Yong XiaAshok VeeraraghavanJianfei CaiDonghao ZhangMinfeng XuLei ZhangManoj Kumar SharmaWeidong Cai
- Topics
- Radiomics and Machine Learning in Medical Imaging (6 papers)Optical measurement and interference techniques (4 papers)Digital Imaging for Blood Diseases (3 papers)
- Journals
- Proceedings of the National Academy of SciencesIEEE Transactions on Medical ImagingInternational Journal of Computer Vision
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Yicheng Wu
31 papers receiving 745 citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 392
- Radiology, Nuclear Medicine and Imaging 325
- Artificial Intelligence 151
- Ophthalmology 130
- Biomedical Engineering 128
Countries citing papers authored by Yicheng Wu
This map shows the geographic impact of Yicheng Wu'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 Yicheng Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yicheng Wu more than expected).
Fields of papers citing papers by Yicheng Wu
This network shows the impact of papers produced by Yicheng Wu. 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 Yicheng Wu. The network helps show where Yicheng Wu may publish in the future.
Co-authorship network of co-authors of Yicheng Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Yicheng Wu. A scholar is included among the top collaborators of Yicheng Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yicheng Wu. Yicheng Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | Mutual consistency learning for semi-supervised medical image segmentationbreakdown → | 192 |
| 13 | 43 | |
| 14 | 1 | |
| 15 | 136 | |
| 16 | 82 | |
| 17 | 2 | |
| 18 | 38 | |
| 19 | 4 | |
| 20 | 16 |
About Yicheng Wu
Yicheng Wu is a scholar working on Computer Vision and Pattern Recognition, Instrumentation and Radiology, Nuclear Medicine and Imaging, having authored 32 papers that have together received 775 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Optical measurement and interference techniques (4 papers) and Digital Imaging for Blood Diseases (3 papers). The work is most often cited by research in Acoustics and Ultrasonics (24 citations), Computer Vision and Pattern Recognition (392 citations) and Ophthalmology (130 citations). Yicheng Wu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yong Xia, Ashok Veeraraghavan, Jianfei Cai, Donghao Zhang, Minfeng Xu, Lei Zhang, Manoj Kumar Sharma, Weidong Cai, Yanning Zhang and Yang Song. Their work appears in journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Medical Imaging and International Journal of Computer Vision.
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.