Yuankai Huo
- Health Informatics top 2%
-
- Radiomics and Machine Learning in Medical Imaging 37
- Advanced Neuroimaging Techniques and Applications 29
- Advanced MRI Techniques and Applications 20
- MRI in cancer diagnosis 14
-
- Medical Image Segmentation Techniques 37
- Advanced Neural Network Applications 16
- Neurology top 5%
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies 14
-
- AI in cancer detection 34
Yuankai Huo
168 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Health Informatics 69
- Radiology, Nuclear Medicine and Imaging 1.1k
- Computer Vision and Pattern Recognition 729
- Neurology 213
- Cognitive Neuroscience 376
Countries citing papers authored by Yuankai Huo
This map shows the geographic impact of Yuankai Huo'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 Yuankai Huo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuankai Huo more than expected).
Fields of papers citing papers by Yuankai Huo
This network shows the impact of papers produced by Yuankai Huo. 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 Yuankai Huo. The network helps show where Yuankai Huo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuankai Huo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | Multichannel meta-imagers for accelerating machine visionbreakdown → | 2024 | 69 |
| 6 | 2024 | 5 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 33 | |
| 9 | 2023 | 24 | |
| 10 | 2023 | 11 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 4 | |
| 14 | 2023 | 5 | |
| 15 | 2022 | 7 | |
| 16 | 2022 | 11 | |
| 17 | 2021 | 36 | |
| 18 | 2021 | 11 | |
| 19 | 2019 | 112 | |
| 20 | 2017 | 28 |
About Yuankai Huo
Yuankai Huo is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biophysics, having authored 183 papers that have together received 2.7k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (37 papers), Radiomics and Machine Learning in Medical Imaging (37 papers), AI in cancer detection (34 papers), Advanced Neuroimaging Techniques and Applications (29 papers), Advanced MRI Techniques and Applications (20 papers), Advanced Neural Network Applications (16 papers), MRI in cancer diagnosis (14 papers) and Functional Brain Connectivity Studies (14 papers). The work is most often cited by research in Health Informatics (69 citations), Radiology, Nuclear Medicine and Imaging (1.1k citations) and Computer Vision and Pattern Recognition (729 citations). Yuankai Huo has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Bennett A. Landman, Shunxing Bao, Susan M. Resnick, Zhoubing Xu, Richard G. Abramson, Ruining Deng, Andrew J. Plassard, Yudong Zhang, Lenan Wu and Camilo Bermudez. Their work appears in journals such as PLoS ONE, Nature Nanotechnology and NeuroImage.
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.