Tsung‐Lung Yang
- Pulmonary and Respiratory Medicine
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Surgery
- Oncology
- Co-authors
- Jer‐Shyung HuangHuay‐Ben PanChen‐Pin ChouHuei‐Lung LiangChia‐Ling ChiangJia-Bin LiaoSan‐Nung ChenJohn Lewin
- Topics
- AI in cancer detection (8 papers)Digital Radiography and Breast Imaging (7 papers)Global Cancer Incidence and Screening (5 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Partner nations
- TaiwanUnited StatesAustralia
In The Last Decade
Tsung‐Lung Yang
37 papers receiving 432 citations
Peers
Comparison fields: 5 of 83
- Pulmonary and Respiratory Medicine 185
- Radiology, Nuclear Medicine and Imaging 154
- Artificial Intelligence 109
- Surgery 83
- Oncology 61
Countries citing papers authored by Tsung‐Lung Yang
This map shows the geographic impact of Tsung‐Lung Yang'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 Tsung‐Lung Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsung‐Lung Yang more than expected).
Fields of papers citing papers by Tsung‐Lung Yang
This network shows the impact of papers produced by Tsung‐Lung Yang. 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 Tsung‐Lung Yang. The network helps show where Tsung‐Lung Yang may publish in the future.
Co-authorship network of co-authors of Tsung‐Lung Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Tsung‐Lung Yang. A scholar is included among the top collaborators of Tsung‐Lung Yang 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 Tsung‐Lung Yang. Tsung‐Lung Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 16 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 18 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 11 | |
| 10 | 17 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 8 | |
| 14 | 2 | |
| 15 | 12 | |
| 16 | 36 | |
| 17 | 14 | |
| 18 | 4 | |
| 19 | 5 | |
| 20 | Computed Tomography Scanning for Diagnosing Gallbladder Rupture: Experience with 64 Cases | 2 |
About Tsung‐Lung Yang
Tsung‐Lung Yang is a scholar working on Microbiology, Leadership and Management and Emergency Medical Services, having authored 38 papers that have together received 450 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Digital Radiography and Breast Imaging (7 papers) and Global Cancer Incidence and Screening (5 papers). The work is most often cited by research in Health Informatics (10 citations), Radiology, Nuclear Medicine and Imaging (154 citations) and Pulmonary and Respiratory Medicine (185 citations). Tsung‐Lung Yang has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Jer‐Shyung Huang, Huay‐Ben Pan, Chen‐Pin Chou, Huei‐Lung Liang, Chia‐Ling Chiang, Jia-Bin Liao, San‐Nung Chen, John Lewin, Chia‐Hung Lin and Weiling Chen. Their work appears in journals such as PLoS ONE, The Journal of the Acoustical Society of America and Sensors.
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.