Junyi Shen
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Signal Processing top 5%
- Time Series Analysis and Forecasting
Papers in
- Hepatology 29
- Hepatocellular Carcinoma Treatment and Prognosis 21
- Hepatitis C virus research 5
- Liver physiology and pathology 4
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- Advanced Clustering Algorithms Research 6
- Co-authors
- Chuan Li (24 shared papers)Tianfu Wen (13 shared papers)Lvnan Yan (12 shared papers)Zhiming Zhao (8 shared papers)Jiayin Yang (9 shared papers)Hui Cai (7 shared papers)Tianfu Wen (23 shared papers)Bo Li (8 shared papers)
- Journals
- Frontiers in Oncology (5 papers)Medicine (4 papers)International Journal of Nanomedicine (3 papers)Knowledge-Based Systems (3 papers)Oncotarget (2 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Junyi Shen
104 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 136
- Hepatology 192
- Signal Processing 130
- Pharmaceutical Science 54
- Molecular Medicine 29
- Pharmacology 44
Countries citing papers authored by Junyi Shen
This map shows the geographic impact of Junyi Shen'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 Junyi Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyi Shen more than expected).
Fields of papers citing papers by Junyi Shen
This network shows the impact of papers produced by Junyi Shen. 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 Junyi Shen. The network helps show where Junyi Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyi Shen, 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 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 65 | |
| 2 | 2019 | 51 | |
| 3 | 2017 | 50 | |
| 4 | 2020 | 49 | |
| 5 | 2008 | 42 | |
| 6 | 2024 | 36 | |
| 7 | 2018 | 33 | |
| 8 | 2003 | 33 | |
| 9 | 2019 | 31 | |
| 10 | NEW HORIZONS IN ASTRONOMY Frank N. Bash Symposium 2007 | 2007 | 29 |
| 11 | 2018 | 29 | |
| 12 | 2019 | 26 | |
| 13 | 2016 | 25 | |
| 14 | 2021 | 21 | |
| 15 | 2021 | 21 | |
| 16 | 2017 | 20 | |
| 17 | 2019 | 19 | |
| 18 | 2021 | 19 | |
| 19 | 2021 | 18 | |
| 20 | 2017 | 18 |
About Junyi Shen
Junyi Shen is a scholar working on Hepatology, Artificial Intelligence, Information Systems, Oncology and Molecular Biology, having authored 115 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (21 papers), Web Data Mining and Analysis (7 papers), Advanced Clustering Algorithms Research (6 papers), Data Mining Algorithms and Applications (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Hepatitis C virus research (5 papers), Time Series Analysis and Forecasting (5 papers) and Liver physiology and pathology (4 papers). The work is most often cited by research in Hepatology (192 citations), Signal Processing (130 citations), Pharmaceutical Science (54 citations), Molecular Medicine (29 citations) and Pharmacology (44 citations). Junyi Shen has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Chuan Li, Tianfu Wen, Lvnan Yan, Zhiming Zhao, Jiayin Yang, Hui Cai, Tianfu Wen, Bo Li, Xuefeng Hou and Nianping Feng. Their work appears in journals such as Frontiers in Oncology, Medicine, International Journal of Nanomedicine, Knowledge-Based Systems and Oncotarget.
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.