Xiaoyan Luo
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Biomedical Engineering
- Media Technology top 10%
- Materials Chemistry
- Co-authors
- Xuhui LiuSheng XuBohan ZengXiantong ZhenYanjing LiJianzhuang LiuBaochang ZhangJun Zhang
- Topics
- Nanoplatforms for cancer theranostics (3 papers)Antimicrobial Peptides and Activities (2 papers)Inflammasome and immune disorders (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaoyan Luo
31 papers receiving 460 citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Computer Vision and Pattern Recognition 116
- Molecular Biology 73
- Biomedical Engineering 57
- Media Technology 51
- Materials Chemistry 44
Countries citing papers authored by Xiaoyan Luo
This map shows the geographic impact of Xiaoyan Luo'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 Xiaoyan Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyan Luo more than expected).
Fields of papers citing papers by Xiaoyan Luo
This network shows the impact of papers produced by Xiaoyan Luo. 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 Xiaoyan Luo. The network helps show where Xiaoyan Luo may publish in the future.
Co-authorship network of co-authors of Xiaoyan Luo
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyan Luo. A scholar is included among the top collaborators of Xiaoyan Luo 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 Xiaoyan Luo. Xiaoyan Luo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 7 | |
| 3 | 42 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 16 | |
| 7 | 2 | |
| 8 | 29 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 14 | |
| 12 | 22 | |
| 13 | 7 | |
| 14 | 9 | |
| 15 | 15 | |
| 16 | 22 | |
| 17 | 27 | |
| 18 | Does the Double Dividend of Environmental Tax Really Play a Role in OECD Countries? A Study Based on the Panel ARDL Model | 10 |
| 19 | Modified lower order penalty functions based on quadratic smoothing approximation | 1 |
| 20 | Current Situation and Control Strategy of the Field Rodents near PoYang Lake | 1 |
About Xiaoyan Luo
Xiaoyan Luo is a scholar working on Microbiology, Geriatrics and Gerontology and Complementary and alternative medicine, having authored 35 papers that have together received 469 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (3 papers), Antimicrobial Peptides and Activities (2 papers) and Inflammasome and immune disorders (2 papers). The work is most often cited by research in Media Technology (51 citations), Computer Vision and Pattern Recognition (116 citations) and Microbiology (24 citations). Xiaoyan Luo has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xuhui Liu, Sheng Xu, Bohan Zeng, Xiantong Zhen, Yanjing Li, Jianzhuang Liu, Baochang Zhang, Jun Zhang, Jingyu Yang and Qionghai Dai. Their work appears in journals such as Nature Communications, Scientific Reports and Energy.
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.