Hwa‐Yen Chiu
- Pulmonary and Respiratory Medicine
- Radiology, Nuclear Medicine and Imaging top 10%
- Physiology
- Artificial Intelligence
- Oncology
- Co-authors
- Yuh‐Min ChenHeng‐Sheng ChaoKang‐Cheng SuHsin‐Kuo KoYi‐Han HsiaoYu‐Chin LeeDiahn‐Warng PerngTsu‐Hui Shiao
- Topics
- Radiomics and Machine Learning in Medical Imaging (9 papers)Lung Cancer Diagnosis and Treatment (8 papers)Obstructive Sleep Apnea Research (4 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsEuropean Radiology
- Partner nations
- TaiwanUnited States
In The Last Decade
Hwa‐Yen Chiu
18 papers receiving 258 citations
Peers
Comparison fields: 5 of 61
- Pulmonary and Respiratory Medicine 158
- Radiology, Nuclear Medicine and Imaging 119
- Physiology 65
- Artificial Intelligence 49
- Oncology 25
Countries citing papers authored by Hwa‐Yen Chiu
This map shows the geographic impact of Hwa‐Yen Chiu'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 Hwa‐Yen Chiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hwa‐Yen Chiu more than expected).
Fields of papers citing papers by Hwa‐Yen Chiu
This network shows the impact of papers produced by Hwa‐Yen Chiu. 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 Hwa‐Yen Chiu. The network helps show where Hwa‐Yen Chiu may publish in the future.
Co-authorship network of co-authors of Hwa‐Yen Chiu
This figure shows the co-authorship network connecting the top 25 collaborators of Hwa‐Yen Chiu. A scholar is included among the top collaborators of Hwa‐Yen Chiu 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 Hwa‐Yen Chiu. Hwa‐Yen Chiu 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 | 9 | |
| 4 | 6 | |
| 5 | 17 | |
| 6 | 6 | |
| 7 | 15 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 9 | |
| 12 | 9 | |
| 13 | 12 | |
| 14 | 2 | |
| 15 | 75 | |
| 16 | 10 | |
| 17 | 9 | |
| 18 | 66 | |
| 19 | 1 |
About Hwa‐Yen Chiu
Hwa‐Yen Chiu is a scholar working on Radiology, Nuclear Medicine and Imaging, Endocrine and Autonomic Systems and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 261 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), Lung Cancer Diagnosis and Treatment (8 papers) and Obstructive Sleep Apnea Research (4 papers). The work is most often cited by research in Health Informatics (17 citations), Radiology, Nuclear Medicine and Imaging (119 citations) and Pulmonary and Respiratory Medicine (158 citations). Hwa‐Yen Chiu has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Yuh‐Min Chen, Heng‐Sheng Chao, Kang‐Cheng Su, Hsin‐Kuo Ko, Yi‐Han Hsiao, Yu‐Chin Lee, Diahn‐Warng Perng, Tsu‐Hui Shiao, Yu‐Te Wu and Tingwei Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and European Radiology.
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.