Yu‐Chuan Hu
- Radiology, Nuclear Medicine and Imaging top 2%
- Genetics top 2%
- Neurology top 5%
- Neurology top 10%
- Computer Vision and Pattern Recognition top 10%
- Topics
- Glioma Diagnosis and Treatment (13 papers)Radiomics and Machine Learning in Medical Imaging (11 papers)Myasthenia Gravis and Thymoma (8 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Yu‐Chuan Hu
32 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 92
- Radiology, Nuclear Medicine and Imaging 779
- Genetics 396
- Neurology 263
- Neurology 162
- Computer Vision and Pattern Recognition 134
Countries citing papers authored by Yu‐Chuan Hu
This map shows the geographic impact of Yu‐Chuan Hu'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 Yu‐Chuan Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Chuan Hu more than expected).
Fields of papers citing papers by Yu‐Chuan Hu
This network shows the impact of papers produced by Yu‐Chuan Hu. 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 Yu‐Chuan Hu. The network helps show where Yu‐Chuan Hu may publish in the future.
Co-authorship network of co-authors of Yu‐Chuan Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Chuan Hu. A scholar is included among the top collaborators of Yu‐Chuan Hu 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 Yu‐Chuan Hu. Yu‐Chuan Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 11 | |
| 3 | 13 | |
| 4 | 20 | |
| 5 | 21 | |
| 6 | 13 | |
| 7 | 17 | |
| 8 | 67 | |
| 9 | 10 | |
| 10 | 37 | |
| 11 | 47 | |
| 12 | 3 | |
| 13 | 210 | |
| 14 | 48 | |
| 15 | 5 | |
| 16 | 36 | |
| 17 | 3 | |
| 18 | 8 | |
| 19 | 39 | |
| 20 | 69 |
About Yu‐Chuan Hu
Yu‐Chuan Hu is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (13 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Myasthenia Gravis and Thymoma (8 papers). The work is most often cited by research in Genetics (396 citations), Radiology, Nuclear Medicine and Imaging (779 citations) and Neurology (263 citations). Yu‐Chuan Hu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Guangbin Cui, Wen Wang, Lin‐Feng Yan, Yu Han, Hai‐Yan Nan, Ying Yu, Bo Hu, Qiang Tian, Yang Yang and Ying‐Zhi Sun. Their work appears in journals such as NeuroImage, Scientific Reports and Neuroscience.
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.