Yixin Li
- Biomedical Engineering top 10%
- Molecular Biology
- Computer Vision and Pattern Recognition top 10%
- Electronic, Optical and Magnetic Materials
- Cancer Research
- Co-authors
- Baohong LiuJi JiMo‐qi LvDang‐xia ZhouPan GeLiang ZhouKun ZhangHuiying Xu
- Topics
- Innovative Microfluidic and Catalytic Techniques Innovation (4 papers)EEG and Brain-Computer Interfaces (4 papers)Graphene and Nanomaterials Applications (3 papers)
- Journals
- Angewandte Chemie International EditionNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Yixin Li
42 papers receiving 576 citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Biomedical Engineering 267
- Molecular Biology 154
- Computer Vision and Pattern Recognition 73
- Electronic, Optical and Magnetic Materials 73
- Cancer Research 67
Countries citing papers authored by Yixin Li
This map shows the geographic impact of Yixin 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 Yixin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yixin Li more than expected).
Fields of papers citing papers by Yixin Li
This network shows the impact of papers produced by Yixin 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 Yixin Li. The network helps show where Yixin Li may publish in the future.
Co-authorship network of co-authors of Yixin Li
This figure shows the co-authorship network connecting the top 25 collaborators of Yixin Li. A scholar is included among the top collaborators of Yixin Li 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 Yixin Li. Yixin Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 21 | |
| 13 | 4 | |
| 14 | 8 | |
| 15 | 8 | |
| 16 | 25 | |
| 17 | 59 | |
| 18 | 48 | |
| 19 | Sugar content and valid acidity detection of navel orange based on feed forward neural network | 1 |
| 20 | 26 |
About Yixin Li
Yixin Li is a scholar working on Biomedical Engineering, Process Chemistry and Technology and Cognitive Neuroscience, having authored 50 papers that have together received 590 indexed citations. Recurring topics across this work include Innovative Microfluidic and Catalytic Techniques Innovation (4 papers), EEG and Brain-Computer Interfaces (4 papers) and Graphene and Nanomaterials Applications (3 papers). The work is most often cited by research in Biomedical Engineering (267 citations), Cancer Research (67 citations) and Electronic, Optical and Magnetic Materials (73 citations). Yixin Li has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Baohong Liu, Ji Ji, Mo‐qi Lv, Dang‐xia Zhou, Pan Ge, Liang Zhou, Kun Zhang, Huiying Xu, Jingjing Zhao and Pengyuan Yang. Their work appears in journals such as Angewandte Chemie International Edition, Nature Communications and SHILAP Revista de lepidopterología.
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.