Tianyi Xia
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Health Informatics top 10%
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 11
- Oncology 12
- Co-authors
- Yuancheng Wang (9 shared papers)Renxing Zhong (5 shared papers)Zunpeng Shu (5 shared papers)Shenghong Ju (12 shared papers)Yanni Yang (3 shared papers)Zihe Ding (3 shared papers)Tianyu Tang (6 shared papers)Wujing Wang (3 shared papers)
- Journals
- European Radiology (2 papers)Radiology (2 papers)Biomedicine & Pharmacotherapy (2 papers)Journal of Magnetic Resonance Imaging (2 papers)Frontiers in Neurology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Tianyi Xia
43 papers receiving 719 citations
Tianyi Xia's Hit Papers
Peers
Comparison fields: 5 of 100
- Hepatology 134
- Health Informatics 19
- Radiology, Nuclear Medicine and Imaging 294
- Complementary and alternative medicine 56
- Pharmacology 52
Countries citing papers authored by Tianyi Xia
This map shows the geographic impact of Tianyi Xia'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 Tianyi Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianyi Xia more than expected).
Fields of papers citing papers by Tianyi Xia
This network shows the impact of papers produced by Tianyi Xia. 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 Tianyi Xia. The network helps show where Tianyi Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Tianyi Xia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Predicting Microvascular Invasion in Hepatocellular Carcinoma Using CT-based Radiomics Model Hit paper breakdown → | 2023 | 121 |
| 2 | 2020 | 107 | |
| 3 | 2021 | 59 | |
| 4 | 2019 | 51 | |
| 5 | 2023 | 46 | |
| 6 | 2024 | 30 | |
| 7 | 2022 | 30 | |
| 8 | 2022 | 29 | |
| 9 | 2020 | 18 | |
| 10 | 2020 | 18 | |
| 11 | 2020 | 15 | |
| 12 | 2023 | 14 | |
| 13 | 2023 | 14 | |
| 14 | 2022 | 13 | |
| 15 | 2018 | 13 | |
| 16 | 2006 | 13 | |
| 17 | 2023 | 12 | |
| 18 | 2022 | 12 | |
| 19 | 2023 | 11 | |
| 20 | 2023 | 11 |
About Tianyi Xia
Tianyi Xia is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Pulmonary and Respiratory Medicine, Hepatology and Molecular Biology, having authored 49 papers that have together received 729 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Renal cell carcinoma treatment (4 papers), Acute Ischemic Stroke Management (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Liver Disease and Transplantation (3 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers) and Traditional Chinese Medicine Analysis (3 papers). The work is most often cited by research in Hepatology (134 citations), Health Informatics (19 citations), Radiology, Nuclear Medicine and Imaging (294 citations), Complementary and alternative medicine (56 citations) and Pharmacology (52 citations). Tianyi Xia has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yuancheng Wang, Renxing Zhong, Zunpeng Shu, Shenghong Ju, Yanni Yang, Zihe Ding, Tianyu Tang, Wujing Wang, Yunjun Yang and Na Xing. Their work appears in journals such as European Radiology, Radiology, Biomedicine & Pharmacotherapy, Journal of Magnetic Resonance Imaging and Frontiers in Neurology.
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.