Yu Xie
- Materials Chemistry
- Molecular Biology
- Catalysis top 10%
- Electrical and Electronic Engineering
- Renewable Energy, Sustainability and the Environment
- Co-authors
- Jonathan B. CohenBoris KozinskyJonathan VandermauseCameron J. OwenDavid C. ChiaraJin Soo LimLawrence J. DangottMichael Blanton
- Topics
- Nicotinic Acetylcholine Receptors Study (9 papers)Catalytic Processes in Materials Science (7 papers)Machine Learning in Materials Science (5 papers)
- Journals
- Journal of the American Chemical SocietyPhysical Review LettersJournal of Biological Chemistry
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Yu Xie
33 papers receiving 647 citations
Peers
Comparison fields: 5 of 88
- Materials Chemistry 319
- Molecular Biology 250
- Catalysis 104
- Electrical and Electronic Engineering 85
- Renewable Energy, Sustainability and the Environment 76
Countries citing papers authored by Yu Xie
This map shows the geographic impact of Yu 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 Yu Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Xie more than expected).
Fields of papers citing papers by Yu Xie
This network shows the impact of papers produced by Yu 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 Yu Xie. The network helps show where Yu Xie may publish in the future.
Co-authorship network of co-authors of Yu Xie
This figure shows the co-authorship network connecting the top 25 collaborators of Yu Xie. A scholar is included among the top collaborators of Yu Xie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yu Xie. Yu Xie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 23 | |
| 3 | 10 | |
| 4 | 0 | |
| 5 | 20 | |
| 6 | 9 | |
| 7 | 42 | |
| 8 | 15 | |
| 9 | 96 | |
| 10 | 8 | |
| 11 | 8 | |
| 12 | 57 | |
| 13 | 32 | |
| 14 | Prediction and Characterization of MXenes for non-lithium ion battery anodes | 1 |
| 15 | 36 | |
| 16 | Improved mathematical model of APA microcapsules | 2 |
| 17 | 27 | |
| 18 | 1 | |
| 19 | 53 | |
| 20 | 8 |
About Yu Xie
Yu Xie is a scholar working on Catalysis, Process Chemistry and Technology and Materials Chemistry, having authored 34 papers that have together received 661 indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (9 papers), Catalytic Processes in Materials Science (7 papers) and Machine Learning in Materials Science (5 papers). The work is most often cited by research in Catalysis (104 citations), Materials Chemistry (319 citations) and Process Chemistry and Technology (18 citations). Yu Xie has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Jonathan B. Cohen, Boris Kozinsky, Jonathan Vandermause, Cameron J. Owen, David C. Chiara, Jin Soo Lim, Lawrence J. Dangott, Michael Blanton, Anders Johansson and Junjie Wen. Their work appears in journals such as Journal of the American Chemical Society, Physical Review Letters and Journal of Biological Chemistry.
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.