Yun Jiang
- Radiology, Nuclear Medicine and Imaging top 2%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Ophthalmology top 2%
- Materials Chemistry
- Co-authors
- Li ChenXiao XiaoHai ZhangJing LiangJeffrey TsaoFarong HuangLei DuГ. В. Ланский
- Topics
- Retinal Imaging and Analysis (17 papers)Glaucoma and retinal disorders (11 papers)Digital Imaging for Blood Diseases (10 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingOphthalmologyComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Colloid and Interface Science
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Yun Jiang
61 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Radiology, Nuclear Medicine and Imaging 577
- Computer Vision and Pattern Recognition 471
- Artificial Intelligence 341
- Ophthalmology 214
- Materials Chemistry 185
Countries citing papers authored by Yun Jiang
This map shows the geographic impact of Yun Jiang'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 Yun Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Jiang more than expected).
Fields of papers citing papers by Yun Jiang
This network shows the impact of papers produced by Yun Jiang. 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 Yun Jiang. The network helps show where Yun Jiang may publish in the future.
Co-authorship network of co-authors of Yun Jiang
This figure shows the co-authorship network connecting the top 25 collaborators of Yun Jiang. A scholar is included among the top collaborators of Yun Jiang 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 Yun Jiang. Yun Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 0 | |
| 8 | 12 | |
| 9 | 5 | |
| 10 | SwinBTS: A Method for 3D Multimodal Brain Tumor Segmentation Using Swin Transformerbreakdown → | 150 |
| 11 | 18 | |
| 12 | 6 | |
| 13 | 4 | |
| 14 | 17 | |
| 15 | 0 | |
| 16 | 18 | |
| 17 | 238 | |
| 18 | 63 | |
| 19 | 40 | |
| 20 | 92 |
About Yun Jiang
Yun Jiang is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 64 papers that have together received 1.3k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (17 papers), Glaucoma and retinal disorders (11 papers) and Digital Imaging for Blood Diseases (10 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (577 citations), Ophthalmology (214 citations) and Computer Vision and Pattern Recognition (471 citations). Yun Jiang has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Li Chen, Xiao Xiao, Hai Zhang, Jing Liang, Jeffrey Tsao, Farong Huang, Lei Du, Г. В. Ланский, Hongzhi Zhang and Zhi‐Hui Kang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Colloid and Interface Science.
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.