Yuting He
Impact in
- Health Informatics top 5%
-
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
Papers in
-
- Medical Image Segmentation Techniques 8
- Advanced Neural Network Applications 6
-
- Radiomics and Machine Learning in Medical Imaging 6
- Retinal Imaging and Analysis 2
- Co-authors
- Chenyu You (1 shared paper)Lin Han (1 shared paper)Jun Ma (1 shared paper)Bo Wang (1 shared paper)Shuo Li (13 shared papers)Guanyu Yang (15 shared papers)Jean-Louis Coatrieux (10 shared papers)Yang Chen (11 shared papers)
- Journals
- Knowledge-Based Systems (4 papers)IEEE Journal of Biomedical and Health Informatics (3 papers)Medical Image Analysis (2 papers)ChemNanoMat (1 paper)Journal of Pain Research (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yuting He
35 papers receiving 1.4k citations
Yuting He's Hit Papers
Peers
Comparison fields: 5 of 142
- Health Informatics 46
- Computer Vision and Pattern Recognition 533
- Radiology, Nuclear Medicine and Imaging 428
- Neurology 128
- Artificial Intelligence 350
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-authors
The 25 scholars most cited alongside Yuting He, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Segment anything in medical images Hit paper breakdown → | 2024 | 1046 |
| 2 | 2020 | 48 | |
| 3 | 2021 | 43 | |
| 4 | 2022 | 37 | |
| 5 | 2021 | 31 | |
| 6 | 2021 | 29 | |
| 7 | 2018 | 28 | |
| 8 | 2022 | 27 | |
| 9 | 2023 | 26 | |
| 10 | 2021 | 25 | |
| 11 | 2019 | 16 | |
| 12 | 2021 | 13 | |
| 13 | 2022 | 11 | |
| 14 | 2023 | 9 | |
| 15 | 2022 | 8 | |
| 16 | 2023 | 8 | |
| 17 | 2020 | 6 | |
| 18 | 2020 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2016 | 5 |
About Yuting He
Yuting He is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (8 papers), Advanced Neural Network Applications (6 papers), Advanced X-ray and CT Imaging (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Imaging and Analysis (5 papers), AI in cancer detection (4 papers), Retinal Imaging and Analysis (2 papers) and Renal cell carcinoma treatment (2 papers). The work is most often cited by research in Health Informatics (46 citations), Computer Vision and Pattern Recognition (533 citations), Radiology, Nuclear Medicine and Imaging (428 citations), Neurology (128 citations) and Artificial Intelligence (350 citations). Yuting He has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Chenyu You, Lin Han, Jun Ma, Bo Wang, Shuo Li, Guanyu Yang, Jean-Louis Coatrieux, Yang Chen, Huazhong Shu and Rongjun Ge. Their work appears in journals such as Knowledge-Based Systems, IEEE Journal of Biomedical and Health Informatics, Medical Image Analysis, ChemNanoMat and Journal of Pain Research.
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.