Heng‐Sheng Chao
- Pulmonary and Respiratory Medicine top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Oncology
- Artificial Intelligence
- Genetics
- Co-authors
- Yuh‐Min ChenHwa‐Yen ChiuShi-Chuan ChangChao‐Hua ChiuTsu‐Hui ShiaoTingwei WangYu‐Te WuKelsey C. Coy
- Topics
- Radiomics and Machine Learning in Medical Imaging (12 papers)Lung Cancer Diagnosis and Treatment (11 papers)Lung Cancer Treatments and Mutations (10 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Journals
- PLoS ONEScientific ReportsMedicine
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Heng‐Sheng Chao
31 papers receiving 446 citations
Peers
Comparison fields: 5 of 82
- Pulmonary and Respiratory Medicine 217
- Radiology, Nuclear Medicine and Imaging 165
- Oncology 105
- Artificial Intelligence 50
- Genetics 49
Countries citing papers authored by Heng‐Sheng Chao
This map shows the geographic impact of Heng‐Sheng Chao'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 Heng‐Sheng Chao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heng‐Sheng Chao more than expected).
Fields of papers citing papers by Heng‐Sheng Chao
This network shows the impact of papers produced by Heng‐Sheng Chao. 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 Heng‐Sheng Chao. The network helps show where Heng‐Sheng Chao may publish in the future.
Co-authorship network of co-authors of Heng‐Sheng Chao
This figure shows the co-authorship network connecting the top 25 collaborators of Heng‐Sheng Chao. A scholar is included among the top collaborators of Heng‐Sheng Chao 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 Heng‐Sheng Chao. Heng‐Sheng Chao 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 | 0 | |
| 4 | 9 | |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 9 | |
| 9 | 17 | |
| 10 | 6 | |
| 11 | 15 | |
| 12 | 21 | |
| 13 | 31 | |
| 14 | 6 | |
| 15 | 5 | |
| 16 | 14 | |
| 17 | 38 | |
| 18 | 25 | |
| 19 | 6 | |
| 20 | 22 |
About Heng‐Sheng Chao
Heng‐Sheng Chao is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Endocrine and Autonomic Systems, having authored 35 papers that have together received 449 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (12 papers), Lung Cancer Diagnosis and Treatment (11 papers) and Lung Cancer Treatments and Mutations (10 papers). The work is most often cited by research in Health Informatics (19 citations), Radiology, Nuclear Medicine and Imaging (165 citations) and Pulmonary and Respiratory Medicine (217 citations). Heng‐Sheng Chao has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yuh‐Min Chen, Hwa‐Yen Chiu, Shi-Chuan Chang, Chao‐Hua Chiu, Tsu‐Hui Shiao, Tingwei Wang, Yu‐Te Wu, Kelsey C. Coy, Yung‐Hung Luo and Guang-Ming Shiao. Their work appears in journals such as PLoS ONE, Scientific Reports and Medicine.
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.