Xiaoying Tang
- Radiology, Nuclear Medicine and Imaging top 2%
- Computer Vision and Pattern Recognition top 2%
- Neurology top 5%
- Physiology top 10%
- Artificial Intelligence top 10%
- Co-authors
- Jiong WuYue ZhangSusumu MoriRiqiang YanMichael I. MillerXiangyou HuWanxia HeJunyan Lyu
- Topics
- Retinal Imaging and Analysis (22 papers)Medical Image Segmentation Techniques (21 papers)Glaucoma and retinal disorders (12 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaACS Nano
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaoying Tang
98 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 131
- Radiology, Nuclear Medicine and Imaging 536
- Computer Vision and Pattern Recognition 363
- Neurology 215
- Physiology 205
- Artificial Intelligence 172
Countries citing papers authored by Xiaoying Tang
This map shows the geographic impact of Xiaoying Tang'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 Xiaoying Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoying Tang more than expected).
Fields of papers citing papers by Xiaoying Tang
This network shows the impact of papers produced by Xiaoying Tang. 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 Xiaoying Tang. The network helps show where Xiaoying Tang may publish in the future.
Co-authorship network of co-authors of Xiaoying Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoying Tang. A scholar is included among the top collaborators of Xiaoying Tang 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 Xiaoying Tang. Xiaoying Tang 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 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 9 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 13 | |
| 11 | 1 | |
| 12 | 59 | |
| 13 | Research and implementation of adaptive distortion image correction and quality enhancement algorithm | 0 |
| 14 | 35 | |
| 15 | 11 | |
| 16 | 6 | |
| 17 | 12 | |
| 18 | 11 | |
| 19 | 42 | |
| 20 | 133 |
About Xiaoying Tang
Xiaoying Tang is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 113 papers that have together received 1.4k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (22 papers), Medical Image Segmentation Techniques (21 papers) and Glaucoma and retinal disorders (12 papers). The work is most often cited by research in Neurology (215 citations), Radiology, Nuclear Medicine and Imaging (536 citations) and Computer Vision and Pattern Recognition (363 citations). Xiaoying Tang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jiong Wu, Yue Zhang, Susumu Mori, Riqiang Yan, Michael I. Miller, Xiangyou Hu, Wanxia He, Junyan Lyu, Pujin Cheng and EX Wu. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and ACS Nano.
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.