Junyi Shen
Impact in
- Drug Discovery top 2%
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Hepatology 35
- Hepatocellular Carcinoma Treatment and Prognosis 30
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- Data Mining Algorithms and Applications 6
- Data Mining and Machine Learning Applications 4
- Web Data Mining and Analysis 4
- Co-authors
- Chuan Li (23 shared papers)Tianfu Wen (14 shared papers)Lvnan Yan (12 shared papers)Hui Cai (9 shared papers)Tianfu Wen (25 shared papers)Jiayin Yang (9 shared papers)Bo Li (8 shared papers)Nianping Feng (4 shared papers)
- Journals
- Frontiers in Oncology (5 papers)International Journal of Nanomedicine (3 papers)Knowledge-Based Systems (3 papers)Medicine (3 papers)The Astrophysical Journal (2 papers)
- Partner nations
- ChinaHong KongNetherlands
In The Last Decade
Junyi Shen
118 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 127
- Drug Discovery 20
- Hepatology 232
- Signal Processing 104
- Biomaterials 142
- Pharmaceutical Science 65
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 126 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 73 | |
| 2 | 2017 | 56 | |
| 3 | 2020 | 55 | |
| 4 | 2019 | 53 | |
| 5 | 2008 | 47 | |
| 6 | 2024 | 46 | |
| 7 | 2022 | 44 | |
| 8 | 2003 | 40 | |
| 9 | 2025 | 35 | |
| 10 | 2018 | 33 | |
| 11 | 2019 | 31 | |
| 12 | 2007 | 30 | |
| 13 | 2018 | 29 | |
| 14 | 2019 | 27 | |
| 15 | NEW HORIZONS IN ASTRONOMY Frank N. Bash Symposium 2007 | 2007 | 25 |
| 16 | 2016 | 25 | |
| 17 | 2021 | 25 | |
| 18 | 2021 | 22 | |
| 19 | 2017 | 20 | |
| 20 | 2018 | 20 |
About Junyi Shen
Junyi Shen is a scholar working on Hepatology, Information Systems, Artificial Intelligence, Biomaterials and Signal Processing, having authored 126 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (30 papers), Advanced Clustering Algorithms Research (10 papers), Nanoparticle-Based Drug Delivery (9 papers), Hepatitis B Virus Studies (6 papers), Data Mining Algorithms and Applications (6 papers), Time Series Analysis and Forecasting (5 papers), Data Mining and Machine Learning Applications (4 papers) and Web Data Mining and Analysis (4 papers). The work is most often cited by research in Drug Discovery (20 citations), Hepatology (232 citations), Signal Processing (104 citations), Biomaterials (142 citations) and Pharmaceutical Science (65 citations). Junyi Shen has collaborated with scholars based in China, Hong Kong and Netherlands. Frequent co-authors include Chuan Li, Tianfu Wen, Lvnan Yan, Hui Cai, Tianfu Wen, Jiayin Yang, Bo Li, Nianping Feng, Xuefeng Hou and Ying Liu. Their work appears in journals such as Frontiers in Oncology, International Journal of Nanomedicine, Knowledge-Based Systems, Medicine and The Astrophysical Journal.
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.