Tai‐Kuang Chao
- Molecular Biology top 10%
- Cancer Research top 10%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Oncology
- Co-authors
- Yi‐Jia LinChing‐Wei WangYu‐Ching LeeHung‐Cheng LaiRui HuangCheng‐Chang ChangShuk‐Man KaChih‐Hung Wang
- Topics
- AI in cancer detection (14 papers)Radiomics and Machine Learning in Medical Imaging (9 papers)Cancer-related molecular mechanisms research (8 papers)
- Partner nations
- TaiwanUnited StatesIndia
In The Last Decade
Tai‐Kuang Chao
55 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 117
- Molecular Biology 788
- Cancer Research 270
- Artificial Intelligence 257
- Radiology, Nuclear Medicine and Imaging 248
- Oncology 194
Countries citing papers authored by Tai‐Kuang Chao
This map shows the geographic impact of Tai‐Kuang 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 Tai‐Kuang Chao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tai‐Kuang Chao more than expected).
Fields of papers citing papers by Tai‐Kuang Chao
This network shows the impact of papers produced by Tai‐Kuang 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 Tai‐Kuang Chao. The network helps show where Tai‐Kuang Chao may publish in the future.
Co-authorship network of co-authors of Tai‐Kuang Chao
This figure shows the co-authorship network connecting the top 25 collaborators of Tai‐Kuang Chao. A scholar is included among the top collaborators of Tai‐Kuang 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 Tai‐Kuang Chao. Tai‐Kuang 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 | 4 | |
| 2 | 3 | |
| 3 | 14 | |
| 4 | 10 | |
| 5 | 22 | |
| 6 | 36 | |
| 7 | 17 | |
| 8 | 12 | |
| 9 | 9 | |
| 10 | 5 | |
| 11 | 14 | |
| 12 | 3 | |
| 13 | 31 | |
| 14 | 70 | |
| 15 | 51 | |
| 16 | 0 | |
| 17 | 68 | |
| 18 | 46 | |
| 19 | 17 | |
| 20 | 25 |
About Tai‐Kuang Chao
Tai‐Kuang Chao is a scholar working on Reproductive Medicine, Cancer Research and Nephrology, having authored 59 papers that have together received 1.5k indexed citations. Recurring topics across this work include AI in cancer detection (14 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Cancer-related molecular mechanisms research (8 papers). The work is most often cited by research in Health Informatics (31 citations), Cancer Research (270 citations) and Nephrology (110 citations). Tai‐Kuang Chao has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Yi‐Jia Lin, Ching‐Wei Wang, Yu‐Ching Lee, Hung‐Cheng Lai, Rui Huang, Cheng‐Chang Chang, Shuk‐Man Ka, Chih‐Hung Wang, Po‐Hsuan Su and Feng‐Yi Yang. Their work appears in journals such as PLoS ONE, Cancer Research 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.