Yuting He
- Computer Vision and Pattern Recognition top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Biomedical Engineering top 10%
- Neurology top 10%
- Topics
- Medical Image Segmentation Techniques (7 papers)Advanced Neural Network Applications (6 papers)Advanced X-ray and CT Imaging (6 papers)
- Cited by
- Health InformaticsComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Journals
- Nature CommunicationsIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image Processing
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Yuting He
35 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Computer Vision and Pattern Recognition 512
- Radiology, Nuclear Medicine and Imaging 449
- Artificial Intelligence 348
- Biomedical Engineering 262
- Neurology 125
Countries citing papers authored by Yuting He
This map shows the geographic impact of Yuting He'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 Yuting He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuting He more than expected).
Fields of papers citing papers by Yuting He
This network shows the impact of papers produced by Yuting He. 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 Yuting He. The network helps show where Yuting He may publish in the future.
Co-authorship network of co-authors of Yuting He
This figure shows the co-authorship network connecting the top 25 collaborators of Yuting He. A scholar is included among the top collaborators of Yuting He 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 Yuting He. Yuting He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | Segment anything in medical imagesbreakdown → | 896 |
| 5 | 9 | |
| 6 | 8 | |
| 7 | 9 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 24 | |
| 12 | 2 | |
| 13 | 40 | |
| 14 | 28 | |
| 15 | 6 | |
| 16 | 48 | |
| 17 | 4 | |
| 18 | 16 | |
| 19 | 4 | |
| 20 | 3 |
About Yuting He
Yuting He is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), Advanced Neural Network Applications (6 papers) and Advanced X-ray and CT Imaging (6 papers). The work is most often cited by research in Health Informatics (50 citations), Computer Vision and Pattern Recognition (512 citations) and Radiology, Nuclear Medicine and Imaging (449 citations). Yuting He has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Bo Wang, Lin Han, Chenyu You, Jun Ma, Shuo Li, Guanyu Yang, Jean-Louis Coatrieux, Yang Chen, Huazhong Shu and Rongjun Ge. Their work appears in journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.
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.