Xiaokang Yang
- Computer Vision and Pattern Recognition top 0.5%
- Aerospace Engineering top 2%
- Safety, Risk, Reliability and Quality top 0.5%
- Global and Planetary Change top 5%
- Electrical and Electronic Engineering
- Co-authors
- Chao MaMing–Hsuan YangJia‐Bin HuangChongyang ZhangXiankai LuBingbing NiJianbing ShenIan Reid
- Topics
- Video Surveillance and Tracking Methods (9 papers)Image Enhancement Techniques (5 papers)Impact of Light on Environment and Health (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionSafety, Risk, Reliability and QualityAerospace Engineering
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingInternational Journal of Computer Vision
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaokang Yang
10 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 2.4k
- Aerospace Engineering 691
- Safety, Risk, Reliability and Quality 574
- Global and Planetary Change 283
- Electrical and Electronic Engineering 245
Countries citing papers authored by Xiaokang Yang
This map shows the geographic impact of Xiaokang 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 Xiaokang Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaokang Yang more than expected).
Fields of papers citing papers by Xiaokang Yang
This network shows the impact of papers produced by Xiaokang 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 Xiaokang Yang. The network helps show where Xiaokang Yang may publish in the future.
Co-authorship network of co-authors of Xiaokang Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaokang Yang. A scholar is included among the top collaborators of Xiaokang 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 Xiaokang Yang. Xiaokang 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 | 2 | |
| 3 | 69 | |
| 4 | 87 | |
| 5 | 155 | |
| 6 | 116 | |
| 7 | 39 | |
| 8 | Long-term correlation trackingbreakdown → | 699 |
| 9 | 0 | |
| 10 | 10 | |
| 11 | Hierarchical Convolutional Features for Visual Trackingbreakdown → | 1277 |
| 12 | 19 |
About Xiaokang Yang
Xiaokang Yang is a scholar working on Computer Vision and Pattern Recognition, Instrumentation and Safety, Risk, Reliability and Quality, having authored 12 papers that have together received 2.5k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (9 papers), Image Enhancement Techniques (5 papers) and Impact of Light on Environment and Health (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.4k citations), Safety, Risk, Reliability and Quality (574 citations) and Aerospace Engineering (691 citations). Xiaokang Yang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Chao Ma, Ming–Hsuan Yang, Jia‐Bin Huang, Chongyang Zhang, Xiankai Lu, Bingbing Ni, Jianbing Shen, Ian Reid, Yi Xu and Hongyuan Zha. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.
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.