Hui Xie
- Endocrinology top 10%
- Biomaterials top 10%
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- Carbon Nanotubes in Composites 2
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- Photoacoustic and Ultrasonic Imaging 4
- Nanoplatforms for cancer theranostics 2
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- Spectroscopy Techniques in Biomedical and Chemical Research 3
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- Antimicrobial Peptides and Activities 2
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- Traditional Chinese Medicine Studies 2
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- Autonomous Vehicle Technology and Safety 2
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- Advanced Neural Network Applications 2
- Co-authors
- Gregg R. DieckmannAlan Β. DaltonInga H. MusselmanJeffrey W. SmithZhigang SheGaurav SharmaSi WangRay H. Baughman
- Journals
- Journal of the American Chemical Society (2 papers)Nucleic Acids Research (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Hui Xie
44 papers receiving 741 citations
Peers
Comparison fields: 5 of 114
- Endocrinology 50
- Biomaterials 94
- Materials Chemistry 269
- Biomedical Engineering 219
- Pharmacology 41
Countries citing papers authored by Hui Xie
This map shows the geographic impact of Hui Xie'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 Hui Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Xie more than expected).
Fields of papers citing papers by Hui Xie
This network shows the impact of papers produced by Hui Xie. 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 Hui Xie. The network helps show where Hui Xie may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hui Xie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 13 | |
| 8 | 2022 | 13 | |
| 9 | 2022 | 4 | |
| 10 | 2020 | 6 | |
| 11 | 2019 | 23 | |
| 12 | 2018 | 5 | |
| 13 | 2018 | 3 | |
| 14 | 2017 | 42 | |
| 15 | 2016 | 1 | |
| 16 | 2016 | 34 | |
| 17 | 2015 | 12 | |
| 18 | 2013 | 1 | |
| 19 | 2013 | 2 | |
| 20 | 2D-QSAR Studies on the Norcantharidin Analogues as Protein Phosphatase 1 and 2A Inhibitors | 2009 | 2 |
About Hui Xie
Hui Xie is a scholar working on Biophysics, Computer Vision and Pattern Recognition and Pharmacology, having authored 47 papers that have together received 753 indexed citations. Recurring topics across this work include Photoacoustic and Ultrasonic Imaging (4 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers), Antimicrobial Peptides and Activities (2 papers), Carbon Nanotubes in Composites (2 papers), Traditional Chinese Medicine Studies (2 papers), Nanoplatforms for cancer theranostics (2 papers), Autonomous Vehicle Technology and Safety (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Endocrinology (50 citations), Biomaterials (94 citations) and Materials Chemistry (269 citations). Hui Xie has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Gregg R. Dieckmann, Alan Β. Dalton, Inga H. Musselman, Jeffrey W. Smith, Zhigang She, Gaurav Sharma, Si Wang, Ray H. Baughman, Alfonso Ortiz-Acevedo and Rockford K. Draper. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research and SHILAP Revista de lepidopterología.
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.