Yuchen Qiu
- Radiology, Nuclear Medicine and Imaging top 1%
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 5%
- Pulmonary and Respiratory Medicine top 10%
- Biomedical Engineering
- Co-authors
- Bin ZhengTheresa ThaiHong LiuKathleen N. MooreRobert S. MannelGopichandh DanalaXuxin ChenMorteza Heidari
- Topics
- AI in cancer detection (34 papers)Radiomics and Machine Learning in Medical Imaging (32 papers)Digital Radiography and Breast Imaging (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Biomedical EngineeringIEEE Transactions on Medical Imaging
- Partner nations
- United StatesChinaMexico
In The Last Decade
Yuchen Qiu
60 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Radiology, Nuclear Medicine and Imaging 1.1k
- Artificial Intelligence 859
- Computer Vision and Pattern Recognition 331
- Pulmonary and Respiratory Medicine 271
- Biomedical Engineering 238
Countries citing papers authored by Yuchen Qiu
This map shows the geographic impact of Yuchen Qiu'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 Yuchen Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuchen Qiu more than expected).
Fields of papers citing papers by Yuchen Qiu
This network shows the impact of papers produced by Yuchen Qiu. 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 Yuchen Qiu. The network helps show where Yuchen Qiu may publish in the future.
Co-authorship network of co-authors of Yuchen Qiu
This figure shows the co-authorship network connecting the top 25 collaborators of Yuchen Qiu. A scholar is included among the top collaborators of Yuchen Qiu 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 Yuchen Qiu. Yuchen Qiu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 22 | |
| 9 | 17 | |
| 10 | Recent advances and clinical applications of deep learning in medical image analysisbreakdown → | 564 |
| 11 | 28 | |
| 12 | 23 | |
| 13 | 5 | |
| 14 | 57 | |
| 15 | 26 | |
| 16 | 36 | |
| 17 | 13 | |
| 18 | 6 | |
| 19 | 8 | |
| 20 | 16 |
About Yuchen Qiu
Yuchen Qiu is a scholar working on Radiology, Nuclear Medicine and Imaging, Biophysics and Artificial Intelligence, having authored 62 papers that have together received 1.8k indexed citations. Recurring topics across this work include AI in cancer detection (34 papers), Radiomics and Machine Learning in Medical Imaging (32 papers) and Digital Radiography and Breast Imaging (7 papers). The work is most often cited by research in Health Informatics (105 citations), Radiology, Nuclear Medicine and Imaging (1.1k citations) and Artificial Intelligence (859 citations). Yuchen Qiu has collaborated with scholars based in United States, China and Mexico. Frequent co-authors include Bin Zheng, Theresa Thai, Hong Liu, Kathleen N. Moore, Robert S. Mannel, Gopichandh Danala, Xuxin Chen, Morteza Heidari, Seyedehnafiseh Mirniaharikandehei and Abolfazl Zargari Khuzani. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.
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.