Yuh‐Show Tsai
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging
- Complementary and alternative medicine top 10%
- Physiology
- Co-authors
- Cheng‐Deng KuoYung‐Hsien ChangChung‐Chih LinShaou-Gang MiaouChin-Ming HsuJane WangChin‐Yu ChenGuan‐Yu Chen
- Topics
- Heart Rate Variability and Autonomic Control (6 papers)semigroups and automata theory (5 papers)Cell Image Analysis Techniques (5 papers)
- Partner nations
- TaiwanUnited StatesGermany
In The Last Decade
Yuh‐Show Tsai
41 papers receiving 578 citations
Peers
Comparison fields: 5 of 112
- Cardiology and Cardiovascular Medicine 157
- Molecular Biology 100
- Radiology, Nuclear Medicine and Imaging 70
- Complementary and alternative medicine 69
- Physiology 61
Countries citing papers authored by Yuh‐Show Tsai
This map shows the geographic impact of Yuh‐Show Tsai'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 Yuh‐Show Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuh‐Show Tsai more than expected).
Fields of papers citing papers by Yuh‐Show Tsai
This network shows the impact of papers produced by Yuh‐Show Tsai. 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 Yuh‐Show Tsai. The network helps show where Yuh‐Show Tsai may publish in the future.
Co-authorship network of co-authors of Yuh‐Show Tsai
This figure shows the co-authorship network connecting the top 25 collaborators of Yuh‐Show Tsai. A scholar is included among the top collaborators of Yuh‐Show Tsai 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 Yuh‐Show Tsai. Yuh‐Show Tsai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | A Semi-Automated 2D Segmentation and Classification System to Quantify and Characterize Morphological Features of Golgi-Derived Membrane Structures | 2 |
| 4 | 21 | |
| 5 | 16 | |
| 6 | 7 | |
| 7 | 9 | |
| 8 | 3 | |
| 9 | 19 | |
| 10 | 7 | |
| 11 | 50 | |
| 12 | 7 | |
| 13 | Re-weighting Graph Links for Quantifying Difference. | 1 |
| 14 | 2 | |
| 15 | 21 | |
| 16 | 15 | |
| 17 | 42 | |
| 18 | 96 | |
| 19 | 35 | |
| 20 | 2 |
About Yuh‐Show Tsai
Yuh‐Show Tsai is a scholar working on Biophysics, Radiological and Ultrasound Technology and Critical Care and Intensive Care Medicine, having authored 42 papers that have together received 616 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (6 papers), semigroups and automata theory (5 papers) and Cell Image Analysis Techniques (5 papers). The work is most often cited by research in Biophysics (56 citations), Complementary and alternative medicine (69 citations) and Cardiology and Cardiovascular Medicine (157 citations). Yuh‐Show Tsai has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Cheng‐Deng Kuo, Yung‐Hsien Chang, Chung‐Chih Lin, Shaou-Gang Miaou, Chin-Ming Hsu, Jane Wang, Chin‐Yu Chen, Guan‐Yu Chen, Chia‐Yu Hsu and Tiffany Ting‐Fang Shih. Their work appears in journals such as Bioinformatics, Sensors and BMC Bioinformatics.
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.