Shaochen Xu
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Fermentation and Sensory Analysis
Papers in
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- Metabolomics and Mass Spectrometry Studies 3
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- Topic Modeling 3
- Machine Learning in Healthcare 3
- Co-authors
- Haichao Zhou (5 shared papers)Jiangyu Zhu (3 shared papers)Yunfeng Yang (4 shared papers)Tianming Liu (7 shared papers)Zihua Li (4 shared papers)Zhengliang Liu (7 shared papers)Xinbo Wu (3 shared papers)Zihao Wu (5 shared papers)
- Journals
- Fermentation (2 papers)Materials & Design (1 paper)International Journal of Biological Macromolecules (1 paper)Ocean Engineering (1 paper)JMIR Medical Education (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Shaochen Xu
20 papers receiving 306 citations
Peers
Comparison fields: 5 of 100
- Health Informatics 44
- Food Science 53
- Biochemistry 15
- Biomaterials 32
- Artificial Intelligence 67
Countries citing papers authored by Shaochen Xu
This map shows the geographic impact of Shaochen Xu'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 Shaochen Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaochen Xu more than expected).
Fields of papers citing papers by Shaochen Xu
This network shows the impact of papers produced by Shaochen Xu. 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 Shaochen Xu. The network helps show where Shaochen Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaochen Xu, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 50 | |
| 2 | 2023 | 44 | |
| 3 | 2024 | 28 | |
| 4 | 2020 | 28 | |
| 5 | 2020 | 22 | |
| 6 | 2025 | 16 | |
| 7 | 2018 | 16 | |
| 8 | 2024 | 15 | |
| 9 | 2018 | 15 | |
| 10 | 2020 | 15 | |
| 11 | 2020 | 15 | |
| 12 | 2023 | 11 | |
| 13 | 2024 | 11 | |
| 14 | 2024 | 7 | |
| 15 | 2020 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2022 | 3 | |
| 18 | 2023 | 1 | |
| 19 | 2022 | 1 | |
| 20 | MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering. | 2024 | 1 |
About Shaochen Xu
Shaochen Xu is a scholar working on Molecular Biology, Artificial Intelligence, Food Science, Plant Science and Cancer Research, having authored 22 papers that have together received 313 indexed citations. Recurring topics across this work include Fermentation and Sensory Analysis (5 papers), Horticultural and Viticultural Research (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Topic Modeling (3 papers), Machine Learning in Healthcare (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Health Informatics (44 citations), Food Science (53 citations), Biochemistry (15 citations), Biomaterials (32 citations) and Artificial Intelligence (67 citations). Shaochen Xu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Haichao Zhou, Jiangyu Zhu, Yunfeng Yang, Tianming Liu, Zihua Li, Zhengliang Liu, Xinbo Wu, Zihao Wu, Dajiang Zhu and Xiang Li. Their work appears in journals such as Fermentation, Materials & Design, International Journal of Biological Macromolecules, Ocean Engineering and JMIR Medical Education.
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.