Te-Cheng Hsu
- Molecular Biology
- Artificial Intelligence
- Oncology
- Radiology, Nuclear Medicine and Imaging
- Cancer Research
- Topics
- AI in cancer detection (4 papers)Gene expression and cancer classification (4 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)
- Partner nations
- TaiwanCanadaUnited States
In The Last Decade
Te-Cheng Hsu
17 papers receiving 317 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 136
- Artificial Intelligence 82
- Oncology 69
- Radiology, Nuclear Medicine and Imaging 65
- Cancer Research 59
Countries citing papers authored by Te-Cheng Hsu
This map shows the geographic impact of Te-Cheng Hsu'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 Te-Cheng Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Te-Cheng Hsu more than expected).
Fields of papers citing papers by Te-Cheng Hsu
This network shows the impact of papers produced by Te-Cheng Hsu. 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 Te-Cheng Hsu. The network helps show where Te-Cheng Hsu may publish in the future.
Co-authorship network of co-authors of Te-Cheng Hsu
This figure shows the co-authorship network connecting the top 25 collaborators of Te-Cheng Hsu. A scholar is included among the top collaborators of Te-Cheng Hsu 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 Te-Cheng Hsu. Te-Cheng Hsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 106 | |
| 9 | 119 | |
| 10 | 8 | |
| 11 | 17 | |
| 12 | 18 | |
| 13 | Reversible Watermarking Algorithm Based on Embedding Pixel Dependence | 1 |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 12 | |
| 19 | 18 |
About Te-Cheng Hsu
Te-Cheng Hsu is a scholar working on Health Information Management, Surfaces, Coatings and Films and Artificial Intelligence, having authored 19 papers that have together received 322 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Gene expression and cancer classification (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Health Informatics (6 citations), Cancer Research (59 citations) and Radiology, Nuclear Medicine and Imaging (65 citations). Te-Cheng Hsu has collaborated with scholars based in Taiwan, Canada and United States. Frequent co-authors include Che Lin, Weining Chen, Yu Tsao, Yu‐Heng Lai, Wei‐Hsin Lin, Yi-Wen Chang, Jia-Lin Lee, C. C. Lin, Fang-Yu Liu and Yunping Wang. Their work appears in journals such as Oncogene, Scientific Reports and IEEE Transactions on Image Processing.
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.