Kuo‐Yang Wang
- Cardiology and Cardiovascular Medicine top 5%
- Surgery
- Pulmonary and Respiratory Medicine top 10%
- Epidemiology
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Wen-Lieng LeeHui‐Chin LaiTsun-Jui LiuChih‐Tai TingChih-Tai TingYueh‐Chiao YehKae‐Woei LiangHon‐Yi Shi
- Topics
- Pulmonary Hypertension Research and Treatments (11 papers)Cardiac Arrhythmias and Treatments (9 papers)Atrial Fibrillation Management and Outcomes (8 papers)
- Cited by
- Cardiology and Cardiovascular MedicineComplementary and Manual TherapyPulmonary and Respiratory Medicine
- Partner nations
- TaiwanUnited StatesSouth Korea
In The Last Decade
Kuo‐Yang Wang
66 papers receiving 853 citations
Peers
Comparison fields: 5 of 110
- Cardiology and Cardiovascular Medicine 391
- Surgery 247
- Pulmonary and Respiratory Medicine 205
- Epidemiology 184
- Radiology, Nuclear Medicine and Imaging 108
Countries citing papers authored by Kuo‐Yang Wang
This map shows the geographic impact of Kuo‐Yang Wang'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 Kuo‐Yang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuo‐Yang Wang more than expected).
Fields of papers citing papers by Kuo‐Yang Wang
This network shows the impact of papers produced by Kuo‐Yang Wang. 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 Kuo‐Yang Wang. The network helps show where Kuo‐Yang Wang may publish in the future.
Co-authorship network of co-authors of Kuo‐Yang Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Kuo‐Yang Wang. A scholar is included among the top collaborators of Kuo‐Yang Wang 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 Kuo‐Yang Wang. Kuo‐Yang Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 13 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 49 | |
| 9 | 7 | |
| 10 | 27 | |
| 11 | 18 | |
| 12 | 13 | |
| 13 | Association between Normal Aging and Phasic Left Atrial Volume as Assessed by Real-Time Three-Dimensional Echocardiography | 1 |
| 14 | 1 | |
| 15 | 30 | |
| 16 | 1 | |
| 17 | 17 | |
| 18 | Application of the GA-PSO with the fuzzy controller to the robot soccer | 5 |
| 19 | 1 | |
| 20 | 0 |
About Kuo‐Yang Wang
Kuo‐Yang Wang is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Pulmonary and Respiratory Medicine, having authored 72 papers that have together received 884 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (11 papers), Cardiac Arrhythmias and Treatments (9 papers) and Atrial Fibrillation Management and Outcomes (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (391 citations), Complementary and Manual Therapy (17 citations) and Pulmonary and Respiratory Medicine (205 citations). Kuo‐Yang Wang has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Wen-Lieng Lee, Hui‐Chin Lai, Tsun-Jui Liu, Chih‐Tai Ting, Chih-Tai Ting, Yueh‐Chiao Yeh, Kae‐Woei Liang, Hon‐Yi Shi, Tsu-Juey Wu and Yu‐Cheng Hsieh. Their work appears in journals such as Journal of the American College of Cardiology, PLoS ONE and The American Journal of Cardiology.
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.