Haixin Wei
Impact in
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- Spectroscopy and Quantum Chemical Studies
- Advanced Chemical Physics Studies
Papers in
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- Protein Structure and Dynamics 9
- DNA and Nucleic Acid Chemistry 3
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- Spectroscopy and Quantum Chemical Studies 6
- Co-authors
- Ray Luo (11 shared papers)Piotr Cieplak (6 shared papers)Yong Duan (6 shared papers)J. Andrew McCammon (2 shared papers)Shiji Zhao (4 shared papers)Ruxi Qi (3 shared papers)Junmei Wang (1 shared paper)Qiang Zhu (1 shared paper)
- Journals
- Journal of Chemical Theory and Computation (5 papers)The Journal of Chemical Physics (2 papers)Biophysical Journal (2 papers)Journal of Computational Chemistry (1 paper)Journal of Chemical Information and Modeling (1 paper)
- Partner nations
- United StatesNew ZealandChina
In The Last Decade
Haixin Wei
13 papers receiving 121 citations
Peers
Comparison fields: 5 of 46
- Atomic and Molecular Physics, and Optics 43
- Biophysics 7
- Spectroscopy 20
- Computational Theory and Mathematics 17
- Molecular Biology 70
Countries citing papers authored by Haixin Wei
This map shows the geographic impact of Haixin Wei'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 Haixin Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haixin Wei more than expected).
Fields of papers citing papers by Haixin Wei
This network shows the impact of papers produced by Haixin Wei. 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 Haixin Wei. The network helps show where Haixin Wei may publish in the future.
Co-authors
The 14 scholars most cited alongside Haixin Wei, 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 | 2020 | 22 | |
| 2 | 2022 | 20 | |
| 3 | 2024 | 16 | |
| 4 | 2022 | 13 | |
| 5 | 2022 | 13 | |
| 6 | 2019 | 9 | |
| 7 | 2023 | 8 | |
| 8 | 2019 | 6 | |
| 9 | 2021 | 6 | |
| 10 | 2024 | 5 | |
| 11 | 2023 | 2 | |
| 12 | 2022 | 1 | |
| 13 | 2022 | 1 | |
| 14 | 2023 | 1 |
About Haixin Wei
Haixin Wei is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Materials Chemistry, Statistical and Nonlinear Physics and Computational Mechanics, having authored 14 papers that have together received 123 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Spectroscopy and Quantum Chemical Studies (6 papers), DNA and Nucleic Acid Chemistry (3 papers), Machine Learning in Materials Science (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Molecular Junctions and Nanostructures (2 papers), Lattice Boltzmann Simulation Studies (2 papers) and Model Reduction and Neural Networks (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (43 citations), Biophysics (7 citations), Spectroscopy (20 citations), Computational Theory and Mathematics (17 citations) and Molecular Biology (70 citations). Haixin Wei has collaborated with scholars based in United States, New Zealand and China. Frequent co-authors include Ray Luo, Piotr Cieplak, Yong Duan, J. Andrew McCammon, Shiji Zhao, Ruxi Qi, Junmei Wang, Qiang Zhu, Kurt L. Krause and Yongxian Wu. Their work appears in journals such as Journal of Chemical Theory and Computation, The Journal of Chemical Physics, Biophysical Journal, Journal of Computational Chemistry and Journal of Chemical Information and Modeling.
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.