Xia Wu
Impact in
- Atmospheric Science top 10%
- nanoparticles nucleation surface interactions
- Materials Chemistry top 10%
- Nanocluster Synthesis and Applications
- Machine Learning in Materials Science
- Catalytic Processes in Materials Science
Papers in
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- Nanocluster Synthesis and Applications 17
- Machine Learning in Materials Science 6
- Catalytic Processes in Materials Science 4
- Boron and Carbon Nanomaterials Research 3
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- nanoparticles nucleation surface interactions 18
- Co-authors
- Genhua Wu (9 shared papers)Wensheng Cai (5 shared papers)Xueguang Shao (5 shared papers)You-Cun Chen (3 shared papers)Yan Sun (5 shared papers)Wei Zheng (5 shared papers)Longjiu Cheng (3 shared papers)Chang Xu (2 shared papers)
In The Last Decade
Xia Wu
36 papers receiving 498 citations
Peers
Comparison fields: 5 of 40
- Atmospheric Science 263
- Materials Chemistry 390
- Atomic and Molecular Physics, and Optics 185
- Electronic, Optical and Magnetic Materials 98
- Inorganic Chemistry 32
Countries citing papers authored by Xia Wu
This map shows the geographic impact of Xia Wu'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 Xia Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xia Wu more than expected).
Fields of papers citing papers by Xia Wu
This network shows the impact of papers produced by Xia Wu. 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 Xia Wu. The network helps show where Xia Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xia Wu, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 52 | |
| 2 | 2011 | 45 | |
| 3 | 2014 | 34 | |
| 4 | 2014 | 33 | |
| 5 | 2017 | 27 | |
| 6 | 2017 | 26 | |
| 7 | 2019 | 24 | |
| 8 | 2011 | 24 | |
| 9 | 2015 | 19 | |
| 10 | 2017 | 19 | |
| 11 | 2016 | 18 | |
| 12 | 2009 | 18 | |
| 13 | 2018 | 16 | |
| 14 | 2018 | 16 | |
| 15 | 2012 | 16 | |
| 16 | 2010 | 15 | |
| 17 | 2009 | 12 | |
| 18 | 2019 | 11 | |
| 19 | 2013 | 10 | |
| 20 | 2014 | 10 |
About Xia Wu
Xia Wu is a scholar working on Materials Chemistry, Atmospheric Science, Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials and Polymers and Plastics, having authored 40 papers that have together received 517 indexed citations. Recurring topics across this work include nanoparticles nucleation surface interactions (18 papers), Nanocluster Synthesis and Applications (17 papers), Advanced Chemical Physics Studies (14 papers), Machine Learning in Materials Science (6 papers), Dendrimers and Hyperbranched Polymers (5 papers), Gold and Silver Nanoparticles Synthesis and Applications (5 papers), Catalytic Processes in Materials Science (4 papers) and Boron and Carbon Nanomaterials Research (3 papers). The work is most often cited by research in Atmospheric Science (263 citations), Materials Chemistry (390 citations), Atomic and Molecular Physics, and Optics (185 citations), Electronic, Optical and Magnetic Materials (98 citations) and Inorganic Chemistry (32 citations). Xia Wu has collaborated with scholars based in China and Türkiye. Frequent co-authors include Genhua Wu, Wensheng Cai, Xueguang Shao, You-Cun Chen, Yan Sun, Wei Zheng, Longjiu Cheng, Chang Xu, Run Chen and Yiping Wu. Their work appears in journals such as Chemical Physics, Chemical Physics Letters, The Journal of Physical Chemistry A, Journal of Alloys and Compounds and Journal of Nanoparticle Research.
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.