Shaoxi Wang
Impact in
- Molecular Medicine top 10%
- Curcumin's Biomedical Applications
- Polymers and Plastics top 10%
- Conducting polymers and applications
Papers in
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- Advanced Memory and Neural Computing 14
- Perovskite Materials and Applications 14
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- Microfluidic and Capillary Electrophoresis Applications 8
- Microfluidic and Bio-sensing Technologies 8
- Co-authors
- Chenxia Hu (3 shared papers)Yucheng Wang (26 shared papers)Yue Yin (9 shared papers)Yupan Wu (14 shared papers)Pouya Rezai (2 shared papers)Wei Li (9 shared papers)Xintao Hu (1 shared paper)Jinzhuo Liu (1 shared paper)
In The Last Decade
Shaoxi Wang
60 papers receiving 704 citations
Peers
Comparison fields: 5 of 101
- Molecular Medicine 50
- Polymers and Plastics 115
- Electrical and Electronic Engineering 349
- Toxicology 10
- Biomedical Engineering 132
Countries citing papers authored by Shaoxi Wang
This map shows the geographic impact of Shaoxi 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 Shaoxi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoxi Wang more than expected).
Fields of papers citing papers by Shaoxi Wang
This network shows the impact of papers produced by Shaoxi 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 Shaoxi Wang. The network helps show where Shaoxi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaoxi 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 116 | |
| 2 | 2023 | 56 | |
| 3 | 2018 | 55 | |
| 4 | 2019 | 41 | |
| 5 | 2021 | 41 | |
| 6 | 2021 | 36 | |
| 7 | 2021 | 31 | |
| 8 | 2021 | 23 | |
| 9 | 2021 | 19 | |
| 10 | 2018 | 18 | |
| 11 | 2021 | 18 | |
| 12 | 2024 | 17 | |
| 13 | 2021 | 15 | |
| 14 | 2024 | 14 | |
| 15 | 2021 | 13 | |
| 16 | 2021 | 10 | |
| 17 | 2021 | 10 | |
| 18 | 2023 | 9 | |
| 19 | 2024 | 9 | |
| 20 | 2021 | 9 |
About Shaoxi Wang
Shaoxi Wang is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Polymers and Plastics, Materials Chemistry and Statistics, Probability and Uncertainty, having authored 70 papers that have together received 714 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (14 papers), Perovskite Materials and Applications (14 papers), Conducting polymers and applications (9 papers), Microfluidic and Capillary Electrophoresis Applications (8 papers), Microfluidic and Bio-sensing Technologies (8 papers), Advanced Statistical Process Monitoring (7 papers), Advanced Statistical Methods and Models (6 papers) and 2D Materials and Applications (5 papers). The work is most often cited by research in Molecular Medicine (50 citations), Polymers and Plastics (115 citations), Electrical and Electronic Engineering (349 citations), Toxicology (10 citations) and Biomedical Engineering (132 citations). Shaoxi Wang has collaborated with scholars based in China, Canada and Australia. Frequent co-authors include Chenxia Hu, Yucheng Wang, Yue Yin, Yupan Wu, Pouya Rezai, Wei Li, Xintao Hu, Jinzhuo Liu, Hongqi Wang and Jian Sha. Their work appears in journals such as Journal of Semiconductors, Journal of Materials Chemistry C, IEEE Access, Lab on a Chip and Journal of Alloys and Compounds.
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.