Hsu‐Hsia Peng
- Cardiology and Cardiovascular Medicine top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Biomedical Engineering
- Surgery
- Co-authors
- Wen‐Yih Isaac TsengHsi‐Yu YuHsiao‐Wen ChungFu‐Nien WangChih‐Yung WenJaw‐Lin WangShin‐Lei PengMao‐Yuan Su
- Topics
- Advanced MRI Techniques and Applications (13 papers)Ultrasound and Hyperthermia Applications (5 papers)Cardiovascular Function and Risk Factors (4 papers)
- Cited by
- Cardiology and Cardiovascular MedicineRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Hsu‐Hsia Peng
32 papers receiving 398 citations
Peers
Comparison fields: 5 of 84
- Cardiology and Cardiovascular Medicine 158
- Radiology, Nuclear Medicine and Imaging 146
- Pulmonary and Respiratory Medicine 93
- Biomedical Engineering 73
- Surgery 66
Countries citing papers authored by Hsu‐Hsia Peng
This map shows the geographic impact of Hsu‐Hsia Peng'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 Hsu‐Hsia Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsu‐Hsia Peng more than expected).
Fields of papers citing papers by Hsu‐Hsia Peng
This network shows the impact of papers produced by Hsu‐Hsia Peng. 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 Hsu‐Hsia Peng. The network helps show where Hsu‐Hsia Peng may publish in the future.
Co-authorship network of co-authors of Hsu‐Hsia Peng
This figure shows the co-authorship network connecting the top 25 collaborators of Hsu‐Hsia Peng. A scholar is included among the top collaborators of Hsu‐Hsia Peng 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 Hsu‐Hsia Peng. Hsu‐Hsia Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 14 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 11 | |
| 12 | 7 | |
| 13 | 34 | |
| 14 | 1 | |
| 15 | 28 | |
| 16 | 12 | |
| 17 | A Transient HLLC type Incompressible Riemann Solver and Application on Aortic Flows Simulation | 0 |
| 18 | 7 | |
| 19 | Numerical Simulation of an Aortic Flow Based on a HLLC Type Incompressible Flow Solver | 6 |
| 20 | 31 |
About Hsu‐Hsia Peng
Hsu‐Hsia Peng is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Neurology, having authored 36 papers that have together received 400 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (13 papers), Ultrasound and Hyperthermia Applications (5 papers) and Cardiovascular Function and Risk Factors (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (158 citations), Radiology, Nuclear Medicine and Imaging (146 citations) and Pulmonary and Respiratory Medicine (93 citations). Hsu‐Hsia Peng has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Wen‐Yih Isaac Tseng, Hsi‐Yu Yu, Hsiao‐Wen Chung, Fu‐Nien Wang, Chih‐Yung Wen, Jaw‐Lin Wang, Shin‐Lei Peng, Mao‐Yuan Su, Teng‐Yi Huang and Fang‐Yue Lin. Their work appears in journals such as Journal of the American Chemical Society, Advanced Materials and Scientific Reports.
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.