Yung‐Nien Sun
- Materials Chemistry top 10%
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering top 10%
- Surgery top 10%
- Renewable Energy, Sustainability and the Environment top 10%
- Co-authors
- Mikołaj LewandowskiShamil ShaikhutdinovZhihui QinMing‐Huwi HorngHans‐Joachim FreundChou‐Ching K. LinMartin SterrerE. Carrasco
- Topics
- Medical Image Segmentation Techniques (30 papers)Orthopedic Surgery and Rehabilitation (11 papers)Advanced Vision and Imaging (9 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Yung‐Nien Sun
104 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 135
- Materials Chemistry 483
- Computer Vision and Pattern Recognition 432
- Biomedical Engineering 327
- Surgery 294
- Renewable Energy, Sustainability and the Environment 241
Countries citing papers authored by Yung‐Nien Sun
This map shows the geographic impact of Yung‐Nien Sun'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 Yung‐Nien Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yung‐Nien Sun more than expected).
Fields of papers citing papers by Yung‐Nien Sun
This network shows the impact of papers produced by Yung‐Nien Sun. 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 Yung‐Nien Sun. The network helps show where Yung‐Nien Sun may publish in the future.
Co-authorship network of co-authors of Yung‐Nien Sun
This figure shows the co-authorship network connecting the top 25 collaborators of Yung‐Nien Sun. A scholar is included among the top collaborators of Yung‐Nien Sun 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 Yung‐Nien Sun. Yung‐Nien Sun 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 | 3 | |
| 3 | 4 | |
| 4 | 36 | |
| 5 | 12 | |
| 6 | 2 | |
| 7 | 15 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 13 | |
| 11 | 21 | |
| 12 | 10 | |
| 13 | 8 | |
| 14 | 6 | |
| 15 | 12 | |
| 16 | 6 | |
| 17 | 30 | |
| 18 | 5 | |
| 19 | 6 | |
| 20 | Densitometry improves the accuracy of volumes estimated by geometrical biplane integration method | 1 |
About Yung‐Nien Sun
Yung‐Nien Sun is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Radiology, Nuclear Medicine and Imaging, having authored 110 papers that have together received 1.9k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (30 papers), Orthopedic Surgery and Rehabilitation (11 papers) and Advanced Vision and Imaging (9 papers). The work is most often cited by research in Catalysis (199 citations), Health Informatics (34 citations) and Computer Vision and Pattern Recognition (432 citations). Yung‐Nien Sun has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Mikołaj Lewandowski, Shamil Shaikhutdinov, Zhihui Qin, Ming‐Huwi Horng, Hans‐Joachim Freund, Chou‐Ching K. Lin, Martin Sterrer, E. Carrasco, Pau‐Choo Chung and Ming‐Shaung Ju. Their work appears in journals such as PLoS ONE, Scientific Reports and The Journal of Physical Chemistry C.
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.