Stephen Xie
Impact in
- Condensed Matter Physics top 10%
- Superconductivity in MgB2 and Alloys
- Rare-earth and actinide compounds
- Physics of Superconductivity and Magnetism
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- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography
Papers in
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- Machine Learning in Materials Science 5
- X-ray Diffraction in Crystallography 3
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- Advanced Battery Materials and Technologies 2
- Advancements in Battery Materials 2
- Co-authors
- Richard G. Hennig (10 shared papers)Qiaohang Guo (1 shared paper)Zi Chen (1 shared paper)Erfu Dai (1 shared paper)Elizabeth Chao (1 shared paper)G. R. Stewart (5 shared papers)P. J. Hirschfeld (5 shared papers)J. J. Hamlin (5 shared papers)
- Journals
- Physical review. B. (3 papers)npj Computational Materials (2 papers)Computational Materials Science (2 papers)Journal of environmental chemical engineering (1 paper)Chemistry of Materials (1 paper)
- Partner nations
- United StatesItalyChina
In The Last Decade
Stephen Xie
14 papers receiving 355 citations
Peers
Comparison fields: 5 of 62
- Condensed Matter Physics 96
- Materials Chemistry 183
- Electronic, Optical and Magnetic Materials 49
- Mechanical Engineering 76
- Geophysics 25
Countries citing papers authored by Stephen Xie
This map shows the geographic impact of Stephen 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 Stephen Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Xie more than expected).
Fields of papers citing papers by Stephen Xie
This network shows the impact of papers produced by Stephen 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 Stephen Xie. The network helps show where Stephen Xie may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen 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 | 2015 | 101 | |
| 2 | 2022 | 60 | |
| 3 | 2019 | 44 | |
| 4 | 2023 | 41 | |
| 5 | 2022 | 31 | |
| 6 | 2020 | 24 | |
| 7 | 2020 | 15 | |
| 8 | 2024 | 13 | |
| 9 | 2018 | 7 | |
| 10 | 2023 | 7 | |
| 11 | 2025 | 5 | |
| 12 | 2021 | 5 | |
| 13 | 2023 | 3 | |
| 14 | 2020 | 2 | |
| 15 | 2025 | 0 |
About Stephen Xie
Stephen Xie is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Geophysics, having authored 15 papers that have together received 358 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (5 papers), X-ray Diffraction in Crystallography (3 papers), Physics of Superconductivity and Magnetism (2 papers), Topological Materials and Phenomena (2 papers), Superconductivity in MgB2 and Alloys (2 papers), High-pressure geophysics and materials (2 papers), Advanced Battery Materials and Technologies (2 papers) and Advancements in Battery Materials (2 papers). The work is most often cited by research in Condensed Matter Physics (96 citations), Materials Chemistry (183 citations), Electronic, Optical and Magnetic Materials (49 citations), Mechanical Engineering (76 citations) and Geophysics (25 citations). Stephen Xie has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Richard G. Hennig, Qiaohang Guo, Zi Chen, Erfu Dai, Elizabeth Chao, G. R. Stewart, P. J. Hirschfeld, J. J. Hamlin, Matthias Rupp and Shreyas Honrao. Their work appears in journals such as Physical review. B., npj Computational Materials, Computational Materials Science, Journal of environmental chemical engineering and Chemistry of 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.