Lingyun Liu
- Surfaces, Coatings and Films top 0.2%
- Biomedical Engineering top 2%
- Electrical and Electronic Engineering top 5%
- Molecular Biology top 10%
- Materials Chemistry top 5%
- Co-authors
- Qingsheng LiuShaoyi JiangWenchen LiShengfu ChenAnuradha SinghSatishkumar B. ChikkannanavarDawn M. BernardiJi Zhou
- Topics
- Polymer Surface Interaction Studies (23 papers)Quantum Dots Synthesis And Properties (12 papers)Electrospun Nanofibers in Biomedical Applications (12 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Lingyun Liu
159 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 178
- Surfaces, Coatings and Films 1.2k
- Biomedical Engineering 1.1k
- Electrical and Electronic Engineering 987
- Molecular Biology 828
- Materials Chemistry 772
Countries citing papers authored by Lingyun Liu
This map shows the geographic impact of Lingyun Liu'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 Lingyun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingyun Liu more than expected).
Fields of papers citing papers by Lingyun Liu
This network shows the impact of papers produced by Lingyun Liu. 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 Lingyun Liu. The network helps show where Lingyun Liu may publish in the future.
Co-authorship network of co-authors of Lingyun Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Lingyun Liu. A scholar is included among the top collaborators of Lingyun Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lingyun Liu. Lingyun Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 20 | |
| 12 | 1 | |
| 13 | 8 | |
| 14 | 4 | |
| 15 | 17 | |
| 16 | 17 | |
| 17 | 23 | |
| 18 | 13 | |
| 19 | Investigation and Study on the College Students' Ability of Social Adaptation | 2 |
| 20 | Protein retanning and filling agent from vinyl monomer graft modification of chrome shavings hydrosylate | 5 |
About Lingyun Liu
Lingyun Liu is a scholar working on Surfaces, Coatings and Films, Biomaterials and Polymers and Plastics, having authored 168 papers that have together received 4.9k indexed citations. Recurring topics across this work include Polymer Surface Interaction Studies (23 papers), Quantum Dots Synthesis And Properties (12 papers) and Electrospun Nanofibers in Biomedical Applications (12 papers). The work is most often cited by research in Surfaces, Coatings and Films (1.2k citations), Biomaterials (738 citations) and Molecular Medicine (238 citations). Lingyun Liu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Qingsheng Liu, Shaoyi Jiang, Wenchen Li, Shengfu Chen, Anuradha Singh, Satishkumar B. Chikkannanavar, Dawn M. Bernardi, Ji Zhou, Jingbo Sun and Buddy D. Ratner. Their work appears in journals such as Applied Physics Letters, Biomaterials and NeuroImage.
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.