Xiaohui Yang
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Computer Networks and Communications top 10%
- Ocean Engineering top 10%
- Topics
- Image Retrieval and Classification Techniques (14 papers)Advanced Image and Video Retrieval Techniques (11 papers)Remote-Sensing Image Classification (8 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xiaohui Yang
62 papers receiving 579 citations
Peers
Comparison fields: 5 of 106
- Computer Vision and Pattern Recognition 215
- Artificial Intelligence 125
- Media Technology 123
- Computer Networks and Communications 90
- Ocean Engineering 84
Countries citing papers authored by Xiaohui Yang
This map shows the geographic impact of Xiaohui Yang'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 Xiaohui Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohui Yang more than expected).
Fields of papers citing papers by Xiaohui Yang
This network shows the impact of papers produced by Xiaohui Yang. 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 Xiaohui Yang. The network helps show where Xiaohui Yang may publish in the future.
Co-authorship network of co-authors of Xiaohui Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohui Yang. A scholar is included among the top collaborators of Xiaohui Yang 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 Xiaohui Yang. Xiaohui Yang 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 | 0 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 19 | |
| 10 | 10 | |
| 11 | Breast Tumor Classification Based on Decision Information Genes and Inverse Projection Sparse Representation. | 0 |
| 12 | A fast image segmentation algorithm based on region maximal similarity | 1 |
| 13 | 0 | |
| 14 | Adaptive Image Retrieval Combined with LBP and Brushlet | 0 |
| 15 | 3 | |
| 16 | 23 | |
| 17 | 10 | |
| 18 | Multisensor Image Fusion Using Fast LHS Based on Curvelet Multiresolution Geometric Decomposition | 0 |
| 19 | 7 | |
| 20 | 9 |
About Xiaohui Yang
Xiaohui Yang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 71 papers that have together received 612 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (14 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Remote-Sensing Image Classification (8 papers). The work is most often cited by research in Media Technology (123 citations), Computer Vision and Pattern Recognition (215 citations) and Ocean Engineering (84 citations). Xiaohui Yang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Licheng Jiao, Zhongwen Guo, Feng Hong, Lijun Yang, Hong Lü, Lijun Cai, Funa Zhou, Ronghua Shang, Yangyang Li and Xiaoying Jiang. Their work appears in journals such as Geophysics, Journal of Computational Chemistry and Pattern Recognition.
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.