Yiran Li
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition
- Cognitive Neuroscience
- Materials Chemistry
- Artificial Intelligence
- Co-authors
- Ze WangDanfeng XieBai LiDonghui SongTianyao WangLei ZhangSudipto DoluiDa Chang
- Topics
- Advanced MRI Techniques and Applications (10 papers)Advanced Neuroimaging Techniques and Applications (4 papers)Medical Imaging Techniques and Applications (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeuroImageMagnetic Resonance in Medicine
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Yiran Li
29 papers receiving 274 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Radiology, Nuclear Medicine and Imaging 119
- Computer Vision and Pattern Recognition 37
- Cognitive Neuroscience 36
- Materials Chemistry 35
- Artificial Intelligence 21
Countries citing papers authored by Yiran Li
This map shows the geographic impact of Yiran 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 Yiran Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiran Li more than expected).
Fields of papers citing papers by Yiran Li
This network shows the impact of papers produced by Yiran 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 Yiran Li. The network helps show where Yiran Li may publish in the future.
Co-authorship network of co-authors of Yiran Li
This figure shows the co-authorship network connecting the top 25 collaborators of Yiran Li. A scholar is included among the top collaborators of Yiran 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 Yiran Li. Yiran 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 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | Electrospun robust, biodegradable, bioactive, and nanostructured sutures to accelerate the chronic wound healingbreakdown → | 14 |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 9 | |
| 13 | 10 | |
| 14 | 0 | |
| 15 | 24 | |
| 16 | 4 | |
| 17 | 32 | |
| 18 | 51 | |
| 19 | 3 | |
| 20 | 21 |
About Yiran Li
Yiran Li is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Conservation, having authored 33 papers that have together received 279 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (10 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (119 citations), Neurology (17 citations) and Cognitive Neuroscience (36 citations). Yiran Li has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Ze Wang, Danfeng Xie, Bai Li, Donghui Song, Tianyao Wang, Lei Zhang, Sudipto Dolui, Da Chang, David Dreizin and Yuanxiong Cheng. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage and Magnetic Resonance in Medicine.
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.