Weichen Xu
Impact in
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- Pharmacological Effects of Natural Compounds
Papers in
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- Gut microbiota and health 5
- Ginseng Biological Effects and Applications 3
- Metabolomics and Mass Spectrometry Studies 2
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- Human Pose and Action Recognition 3
- Multimodal Machine Learning Applications 3
- Advanced Neural Network Applications 2
- Co-authors
- Jinjun Shan (10 shared papers)Zichen Luo (4 shared papers)Liuqing Di (2 shared papers)Ying Zhang (2 shared papers)Bei Gao (2 shared papers)Lixia Chen (1 shared paper)Weishou Shen (2 shared papers)Nan Gao (2 shared papers)
- Journals
- Journal of Pharmaceutical and Biomedical Analysis (3 papers)Knowledge-Based Systems (2 papers)Advanced Science (2 papers)Journal of Ethnopharmacology (2 papers)Energy storage materials (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Weichen Xu
22 papers receiving 127 citations
Peers
Comparison fields: 5 of 74
- Biological Psychiatry 5
- Pharmacology 9
- Complementary and alternative medicine 8
- Molecular Biology 63
- Biochemistry 5
Countries citing papers authored by Weichen Xu
This map shows the geographic impact of Weichen 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 Weichen Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weichen Xu more than expected).
Fields of papers citing papers by Weichen Xu
This network shows the impact of papers produced by Weichen 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 Weichen Xu. The network helps show where Weichen Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Weichen 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 49 | |
| 2 | 2022 | 23 | |
| 3 | 2023 | 15 | |
| 4 | 2024 | 6 | |
| 5 | 2020 | 5 | |
| 6 | 2023 | 5 | |
| 7 | 2024 | 4 | |
| 8 | 2025 | 3 | |
| 9 | 2023 | 3 | |
| 10 | 2024 | 2 | |
| 11 | 2025 | 2 | |
| 12 | 2024 | 2 | |
| 13 | 2025 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2023 | 1 |
About Weichen Xu
Weichen Xu is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Surgery, Pathology and Forensic Medicine and Artificial Intelligence, having authored 27 papers that have together received 131 indexed citations. Recurring topics across this work include Gut microbiota and health (5 papers), Ginseng Biological Effects and Applications (3 papers), Human Pose and Action Recognition (3 papers), Multimodal Machine Learning Applications (3 papers), Pharmacological Effects of Natural Compounds (3 papers), Advanced Neural Network Applications (2 papers), 3D Shape Modeling and Analysis (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Biological Psychiatry (5 citations), Pharmacology (9 citations), Complementary and alternative medicine (8 citations), Molecular Biology (63 citations) and Biochemistry (5 citations). Weichen Xu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jinjun Shan, Zichen Luo, Liuqing Di, Ying Zhang, Bei Gao, Lixia Chen, Weishou Shen, Nan Gao, Jianjian Ji and Wei Zhou. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, Knowledge-Based Systems, Advanced Science, Journal of Ethnopharmacology and Energy storage materials.
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.