Qingxiong Yang
- Computer Vision and Pattern Recognition top 0.1%
- Media Technology top 0.2%
- Aerospace Engineering top 1%
- Geology top 1%
- Computer Graphics and Computer-Aided Design top 1%
- Co-authors
- Ruigang YangD. NistérNarendra AhujaShengfeng HeKar-Han TanLiang WangJames DavisHenrik Stewénius
- Topics
- Advanced Vision and Imaging (44 papers)Image Enhancement Techniques (31 papers)Advanced Image Processing Techniques (25 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingIEEE Access
- Partner nations
- Hong KongUnited StatesChina
In The Last Decade
Qingxiong Yang
73 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Computer Vision and Pattern Recognition 5.4k
- Media Technology 1.2k
- Aerospace Engineering 1.0k
- Geology 355
- Computer Graphics and Computer-Aided Design 293
Countries citing papers authored by Qingxiong Yang
This map shows the geographic impact of Qingxiong 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 Qingxiong Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingxiong Yang more than expected).
Fields of papers citing papers by Qingxiong Yang
This network shows the impact of papers produced by Qingxiong 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 Qingxiong Yang. The network helps show where Qingxiong Yang may publish in the future.
Co-authorship network of co-authors of Qingxiong Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Qingxiong Yang. A scholar is included among the top collaborators of Qingxiong 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 Qingxiong Yang. Qingxiong 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 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 52 | |
| 7 | 1 | |
| 8 | 28 | |
| 9 | 58 | |
| 10 | 83 | |
| 11 | 57 | |
| 12 | 11 | |
| 13 | 5 | |
| 14 | 101 | |
| 15 | 18 | |
| 16 | Stereo Matching with Color-Weighted Correlation, Hierarchical Belief Propagation, and Occlusion Handlingbreakdown → | 354 |
| 17 | 11 | |
| 18 | 42 | |
| 19 | 136 | |
| 20 | 1 |
About Qingxiong Yang
Qingxiong Yang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, having authored 76 papers that have together received 5.9k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (44 papers), Image Enhancement Techniques (31 papers) and Advanced Image Processing Techniques (25 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.4k citations), Media Technology (1.2k citations) and Computer Graphics and Computer-Aided Design (293 citations). Qingxiong Yang has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Ruigang Yang, D. Nistér, Narendra Ahuja, Shengfeng He, Kar-Han Tan, Liang Wang, James Davis, Henrik Stewénius, Gang Wang and Zezhou Cheng. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Access.
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.