Xing Sheng
Impact in
- Polymers and Plastics top 2%
- Conducting polymers and applications
- Biomedical Engineering top 1%
- Advanced Sensor and Energy Harvesting Materials
- Nanowire Synthesis and Applications
- Nanoplatforms for cancer theranostics
Papers in
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- Neuroscience and Neural Engineering 27
- Photoreceptor and optogenetics research 22
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- Advanced Sensor and Energy Harvesting Materials 21
- Nanowire Synthesis and Applications 11
Xing Sheng
116 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Polymers and Plastics 671
- Biomedical Engineering 2.0k
- Cellular and Molecular Neuroscience 825
- Electrical and Electronic Engineering 1.9k
- Surfaces, Coatings and Films 212
Countries citing papers authored by Xing Sheng
This map shows the geographic impact of Xing Sheng'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 Xing Sheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xing Sheng more than expected).
Fields of papers citing papers by Xing Sheng
This network shows the impact of papers produced by Xing Sheng. 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 Xing Sheng. The network helps show where Xing Sheng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xing Sheng, 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 | 2024 | 12 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 13 | |
| 4 | 2024 | 11 | |
| 5 | 2023 | 11 | |
| 6 | 2023 | 53 | |
| 7 | 2023 | 5 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 69 | |
| 10 | 2021 | 47 | |
| 11 | 2021 | 4 | |
| 12 | 2021 | 15 | |
| 13 | 2020 | 22 | |
| 14 | 2020 | 5 | |
| 15 | 2020 | 13 | |
| 16 | 2020 | 6 | |
| 17 | 2020 | 9 | |
| 18 | 2019 | 14 | |
| 19 | 2019 | 77 | |
| 20 | 2011 | 11 |
About Xing Sheng
Xing Sheng is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering, Surfaces, Coatings and Films, Electrical and Electronic Engineering and Polymers and Plastics, having authored 119 papers that have together received 4.1k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (27 papers), Photoreceptor and optogenetics research (22 papers), Advanced Sensor and Energy Harvesting Materials (21 papers), Thin-Film Transistor Technologies (14 papers), Photonic and Optical Devices (13 papers), Nanowire Synthesis and Applications (11 papers), Conducting polymers and applications (10 papers) and solar cell performance optimization (9 papers). The work is most often cited by research in Polymers and Plastics (671 citations), Biomedical Engineering (2.0k citations), Cellular and Molecular Neuroscience (825 citations), Electrical and Electronic Engineering (1.9k citations) and Surfaces, Coatings and Films (212 citations). Xing Sheng has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Lan Yin, John A. Rogers, He Ding, Lionel C. Kimerling, Hangxun Xu, Xu Wang, Yinchu Ma, Yucai Wang, Jürgen Michel and Huachun Wang. Their work appears in journals such as Optics Express, Advanced Optical Materials, Advanced Energy Materials, Proceedings of the National Academy of Sciences and Advanced Functional 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.