Kaiyan Li
Impact in
- Biomedical Engineering top 10%
- 3D Printing in Biomedical Research
- Innovative Microfluidic and Catalytic Techniques Innovation
- Microfluidic and Bio-sensing Technologies
- Microfluidic and Capillary Electrophoresis Applications
- Metal Extraction and Bioleaching
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- Electrospun Nanofibers in Biomedical Applications
Papers in
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- 3D Printing in Biomedical Research 4
- Innovative Microfluidic and Catalytic Techniques Innovation 2
- Microfluidic and Bio-sensing Technologies 1
- Co-authors
- Xinghua Gao (4 shared papers)Bingkun Guo (1 shared paper)Xu Zhang (1 shared paper)Weijia Wen (1 shared paper)Chang Liu (1 shared paper)Lijuan Zhao (2 shared papers)Yuan Zhang (2 shared papers)Chang Yong Xue (1 shared paper)
In The Last Decade
Kaiyan Li
9 papers receiving 334 citations
Peers
Comparison fields: 5 of 57
- Biomedical Engineering 292
- Biomaterials 58
- Environmental Chemistry 23
- Automotive Engineering 25
- Cellular and Molecular Neuroscience 28
Countries citing papers authored by Kaiyan Li
This map shows the geographic impact of Kaiyan Li'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 Kaiyan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaiyan Li more than expected).
Fields of papers citing papers by Kaiyan Li
This network shows the impact of papers produced by Kaiyan Li. 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 Kaiyan Li. The network helps show where Kaiyan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaiyan Li, 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 | 2018 | 208 | |
| 2 | 2019 | 47 | |
| 3 | 2009 | 34 | |
| 4 | 2020 | 33 | |
| 5 | 2019 | 8 | |
| 6 | 2023 | 6 | |
| 7 | 2020 | 3 | |
| 8 | 2021 | 1 | |
| 9 | 2022 | 1 | |
| 10 | 2012 | 0 |
About Kaiyan Li
Kaiyan Li is a scholar working on Biomedical Engineering, Modeling and Simulation, Complementary and alternative medicine, Geometry and Topology and Environmental Chemistry, having authored 10 papers that have together received 341 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (4 papers), Silicon Carbide Semiconductor Technologies (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Electromagnetic Compatibility and Noise Suppression (1 paper), Microfluidic and Bio-sensing Technologies (1 paper), Cancer Cells and Metastasis (1 paper), Electrospun Nanofibers in Biomedical Applications (1 paper) and Electronic Packaging and Soldering Technologies (1 paper). The work is most often cited by research in Biomedical Engineering (292 citations), Biomaterials (58 citations), Environmental Chemistry (23 citations), Automotive Engineering (25 citations) and Cellular and Molecular Neuroscience (28 citations). Kaiyan Li has collaborated with scholars based in China, Hong Kong and Taiwan. Frequent co-authors include Xinghua Gao, Bingkun Guo, Xu Zhang, Weijia Wen, Chang Liu, Lijuan Zhao, Yuan Zhang, Chang Yong Xue, Hongyu Li and Feifan Leng. Their work appears in journals such as Biomicrofluidics, Hydrometallurgy, IEEE Transactions on Device and Materials Reliability, Macromolecular Bioscience and Lab on a Chip.
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.