Hong‐Ming Tsai
- Radiology, Nuclear Medicine and Imaging top 10%
- Surgery
- Hepatology top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Co-authors
- Pau‐Choo ChungChein‐I ChangChing-Liang ChenE-Liang ChenChien-Cheng LeeXi‐Zhang LinPin‐Wen LinYi‐Sheng Liu
- Topics
- Hepatocellular Carcinoma Treatment and Prognosis (6 papers)Pancreatic and Hepatic Oncology Research (6 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)
- Journals
- GastroenterologyPLoS ONEHepatology
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Hong‐Ming Tsai
33 papers receiving 608 citations
Peers
Comparison fields: 5 of 79
- Radiology, Nuclear Medicine and Imaging 189
- Surgery 185
- Hepatology 183
- Computer Vision and Pattern Recognition 177
- Artificial Intelligence 155
Countries citing papers authored by Hong‐Ming Tsai
This map shows the geographic impact of Hong‐Ming Tsai'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 Hong‐Ming Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong‐Ming Tsai more than expected).
Fields of papers citing papers by Hong‐Ming Tsai
This network shows the impact of papers produced by Hong‐Ming Tsai. 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 Hong‐Ming Tsai. The network helps show where Hong‐Ming Tsai may publish in the future.
Co-authorship network of co-authors of Hong‐Ming Tsai
This figure shows the co-authorship network connecting the top 25 collaborators of Hong‐Ming Tsai. A scholar is included among the top collaborators of Hong‐Ming Tsai 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 Hong‐Ming Tsai. Hong‐Ming Tsai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 21 | |
| 6 | 6 | |
| 7 | 10 | |
| 8 | 39 | |
| 9 | 1 | |
| 10 | 13 | |
| 11 | Quantitatively Characterizing the Texture Feature of Ultrasonic Images for Breast Cancer with Histopathological Correlation | 1 |
| 12 | 7 | |
| 13 | 23 | |
| 14 | 64 | |
| 15 | 13 | |
| 16 | Liver volume in patients with or without chronic liver diseases. | 60 |
| 17 | 4 | |
| 18 | 3 | |
| 19 | 41 | |
| 20 | 3 |
About Hong‐Ming Tsai
Hong‐Ming Tsai is a scholar working on Hepatology, Surgery and Pulmonary and Respiratory Medicine, having authored 33 papers that have together received 648 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Pancreatic and Hepatic Oncology Research (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Hepatology (183 citations), Computer Vision and Pattern Recognition (177 citations) and Radiology, Nuclear Medicine and Imaging (189 citations). Hong‐Ming Tsai has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Pau‐Choo Chung, Chein‐I Chang, Ching-Liang Chen, E-Liang Chen, Chien-Cheng Lee, Xi‐Zhang Lin, Pin‐Wen Lin, Yi‐Sheng Liu, Bor‐Shyang Sheu and Yung-Nien Sun. Their work appears in journals such as Gastroenterology, PLoS ONE and Hepatology.
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.