Xiumei Wang
Impact in
- Polymers and Plastics top 5%
- Conducting polymers and applications
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
Papers in
-
- Advanced Memory and Neural Computing 15
- Organic Electronics and Photovoltaics 7
- Perovskite Materials and Applications 3
- Ferroelectric and Negative Capacitance Devices 2
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- Advanced Sensor and Energy Harvesting Materials 16
- Co-authors
- Huipeng Chen (27 shared papers)Tailiang Guo (16 shared papers)Yaqian Liu (13 shared papers)Enlong Li (10 shared papers)Yujie Yan (14 shared papers)Huihuang Yang (9 shared papers)Qizhen Chen (8 shared papers)Rengjian Yu (7 shared papers)
In The Last Decade
Xiumei Wang
29 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 43
- Polymers and Plastics 474
- Cellular and Molecular Neuroscience 372
- Electrical and Electronic Engineering 1.0k
- Biomedical Engineering 424
- Bioengineering 38
Countries citing papers authored by Xiumei Wang
This map shows the geographic impact of Xiumei Wang'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 Xiumei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiumei Wang more than expected).
Fields of papers citing papers by Xiumei Wang
This network shows the impact of papers produced by Xiumei Wang. 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 Xiumei Wang. The network helps show where Xiumei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiumei Wang, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 156 | |
| 2 | 2017 | 110 | |
| 3 | 2020 | 101 | |
| 4 | 2022 | 98 | |
| 5 | 2019 | 98 | |
| 6 | 2020 | 90 | |
| 7 | 2022 | 87 | |
| 8 | 2020 | 73 | |
| 9 | 2023 | 65 | |
| 10 | 2021 | 49 | |
| 11 | 2020 | 38 | |
| 12 | 2022 | 32 | |
| 13 | 2019 | 30 | |
| 14 | 2021 | 26 | |
| 15 | 2021 | 25 | |
| 16 | 2019 | 18 | |
| 17 | 2023 | 16 | |
| 18 | 2019 | 16 | |
| 19 | 2024 | 13 | |
| 20 | 2023 | 12 |
About Xiumei Wang
Xiumei Wang is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Polymers and Plastics, Cellular and Molecular Neuroscience and Materials Chemistry, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (16 papers), Conducting polymers and applications (15 papers), Advanced Memory and Neural Computing (15 papers), Organic Electronics and Photovoltaics (7 papers), Neuroscience and Neural Engineering (3 papers), Supercapacitor Materials and Fabrication (3 papers), Perovskite Materials and Applications (3 papers) and Ferroelectric and Negative Capacitance Devices (2 papers). The work is most often cited by research in Polymers and Plastics (474 citations), Cellular and Molecular Neuroscience (372 citations), Electrical and Electronic Engineering (1.0k citations), Biomedical Engineering (424 citations) and Bioengineering (38 citations). Xiumei Wang has collaborated with scholars based in China and Singapore. Frequent co-authors include Huipeng Chen, Tailiang Guo, Yaqian Liu, Enlong Li, Yujie Yan, Huihuang Yang, Qizhen Chen, Rengjian Yu, Yuanyuan Hu and Xiaomin Wu. Their work appears in journals such as Journal of Materials Chemistry C, Nano Energy, ACS Applied Materials & Interfaces, Nature Communications and Science China 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.