Guoliang Kang
- Computer Vision and Pattern Recognition top 0.2%
- Artificial Intelligence top 0.5%
- Biomedical Engineering top 5%
- Information Systems top 5%
- Media Technology top 2%
- Co-authors
- Yi YangLiang ZhengShaozi LiZhun ZhongLu JiangAlexander G. HauptmannQixiang YeWeijian Deng
- Topics
- Domain Adaptation and Few-Shot Learning (16 papers)Multimodal Machine Learning Applications (15 papers)Advanced Neural Network Applications (8 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingInternational Journal of Computer Vision
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Guoliang Kang
29 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Computer Vision and Pattern Recognition 2.9k
- Artificial Intelligence 1.7k
- Biomedical Engineering 587
- Information Systems 234
- Media Technology 231
Countries citing papers authored by Guoliang Kang
This map shows the geographic impact of Guoliang Kang'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 Guoliang Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoliang Kang more than expected).
Fields of papers citing papers by Guoliang Kang
This network shows the impact of papers produced by Guoliang Kang. 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 Guoliang Kang. The network helps show where Guoliang Kang may publish in the future.
Co-authorship network of co-authors of Guoliang Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Guoliang Kang. A scholar is included among the top collaborators of Guoliang Kang 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 Guoliang Kang. Guoliang Kang 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 4 | |
| 14 | 85 | |
| 15 | 85 | |
| 16 | Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation | 4 |
| 17 | 39 | |
| 18 | 136 | |
| 19 | Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identificationbreakdown → | 713 |
| 20 | Progressive Deep Neural Networks Acceleration via Soft Filter Pruning | 8 |
About Guoliang Kang
Guoliang Kang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 36 papers that have together received 4.0k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (16 papers), Multimodal Machine Learning Applications (15 papers) and Advanced Neural Network Applications (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.9k citations), Artificial Intelligence (1.7k citations) and Media Technology (231 citations). Guoliang Kang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yi Yang, Liang Zheng, Shaozi Li, Zhun Zhong, Lu Jiang, Alexander G. Hauptmann, Qixiang Ye, Weijian Deng, Jianbin Jiao and Dacheng Tao. 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.