Chao An
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
-
- Radiomics and Machine Learning in Medical Imaging
Papers in
- Hepatology 55
- Hepatocellular Carcinoma Treatment and Prognosis 55
- Surgery 9
- Cholangiocarcinoma and Gallbladder Cancer Studies 3
- Co-authors
- Jie Yu (15 shared papers)Ping Liang (15 shared papers)Mengxuan Zuo (20 shared papers)Fangyi Liu (13 shared papers)Xiaoling Yu (9 shared papers)Zhigang Cheng (11 shared papers)Zhimei Huang (8 shared papers)Jinhua Huang (7 shared papers)
- Journals
- International Journal of Hyperthermia (13 papers)European Radiology (6 papers)Cancer Medicine (5 papers)International Journal of Surgery (4 papers)Therapeutic Advances in Medical Oncology (4 papers)
- Partner nations
- ChinaUnited StatesEthiopia
In The Last Decade
Chao An
98 papers receiving 942 citations
Peers
Comparison fields: 5 of 125
- Hepatology 390
- Radiology, Nuclear Medicine and Imaging 109
- Health Informatics 6
- Oncology 99
- Pulmonary and Respiratory Medicine 111
Countries citing papers authored by Chao An
This map shows the geographic impact of Chao An'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 Chao An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao An more than expected).
Fields of papers citing papers by Chao An
This network shows the impact of papers produced by Chao An. 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 Chao An. The network helps show where Chao An may publish in the future.
Co-authors
The 25 scholars most cited alongside Chao An, 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 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 54 | |
| 2 | 2021 | 44 | |
| 3 | 2018 | 38 | |
| 4 | 2013 | 29 | |
| 5 | 2023 | 27 | |
| 6 | 2021 | 27 | |
| 7 | 2020 | 26 | |
| 8 | 2020 | 25 | |
| 9 | 2019 | 24 | |
| 10 | 2015 | 23 | |
| 11 | 2022 | 21 | |
| 12 | 2020 | 20 | |
| 13 | 2017 | 20 | |
| 14 | 2018 | 19 | |
| 15 | 2020 | 19 | |
| 16 | 2019 | 19 | |
| 17 | 2019 | 18 | |
| 18 | 2017 | 17 | |
| 19 | 2022 | 16 | |
| 20 | 2021 | 15 |
About Chao An
Chao An is a scholar working on Hepatology, Surgery, Pulmonary and Respiratory Medicine, Epidemiology and Artificial Intelligence, having authored 111 papers that have together received 951 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (55 papers), Employment, Labor, and Gender Studies (7 papers), Liver Disease Diagnosis and Treatment (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Expert finding and Q&A systems (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Topic Modeling (3 papers) and Image Enhancement Techniques (3 papers). The work is most often cited by research in Hepatology (390 citations), Radiology, Nuclear Medicine and Imaging (109 citations), Health Informatics (6 citations), Oncology (99 citations) and Pulmonary and Respiratory Medicine (111 citations). Chao An has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Jie Yu, Ping Liang, Mengxuan Zuo, Fangyi Liu, Xiaoling Yu, Zhigang Cheng, Zhimei Huang, Jinhua Huang, Peihong Wu and Xin Li. Their work appears in journals such as International Journal of Hyperthermia, European Radiology, Cancer Medicine, International Journal of Surgery and Therapeutic Advances in Medical Oncology.
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.