Yifan Liu
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Media Technology top 1%
- Aerospace Engineering top 10%
- Biomedical Engineering
- Co-authors
- Chunhua ShenWei YinYouliang YanJingdong WangZengchang QinTao WanBowen ZhangZhenbo Luo
- Topics
- Advanced Neural Network Applications (15 papers)Domain Adaptation and Few-Shot Learning (8 papers)Advanced Vision and Imaging (8 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 ProcessingExpert Systems with Applications
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Yifan Liu
47 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Computer Vision and Pattern Recognition 920
- Artificial Intelligence 268
- Media Technology 253
- Aerospace Engineering 141
- Biomedical Engineering 69
Countries citing papers authored by Yifan Liu
This map shows the geographic impact of Yifan Liu'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 Yifan Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yifan Liu more than expected).
Fields of papers citing papers by Yifan Liu
This network shows the impact of papers produced by Yifan Liu. 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 Yifan Liu. The network helps show where Yifan Liu may publish in the future.
Co-authorship network of co-authors of Yifan Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Yifan Liu. A scholar is included among the top collaborators of Yifan Liu 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 Yifan Liu. Yifan Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 13 | |
| 7 | 24 | |
| 8 | 10 | |
| 9 | 11 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 30 | |
| 15 | 43 | |
| 16 | 29 | |
| 17 | 2 | |
| 18 | Channel-wise Distillation for Semantic Segmentation. | 7 |
| 19 | 31 | |
| 20 | Data Augmentation in Classification using GAN | 4 |
About Yifan Liu
Yifan Liu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (15 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Advanced Vision and Imaging (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (920 citations), Media Technology (253 citations) and Computer Graphics and Computer-Aided Design (44 citations). Yifan Liu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Chunhua Shen, Wei Yin, Youliang Yan, Jingdong Wang, Zengchang Qin, Tao Wan, Bowen Zhang, Zhenbo Luo, Lingqiao Liu and Yinjie Lei. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Expert Systems with Applications.
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.