Jifei Song
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Computational Mechanics
- Computer Graphics and Computer-Aided Design top 5%
- Co-authors
- Yi-Zhe SongTimothy M. HospedalesTao XiangQian YuYongxin YangKaiyue PangEduardo Pérez-PelliteroXiang Ruan
- Topics
- Advanced Image and Video Retrieval Techniques (5 papers)Multimodal Machine Learning Applications (5 papers)Advanced Vision and Imaging (4 papers)
- Journals
- IEEE Transactions on Image ProcessingInternational Journal of Computer Vision2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Partner nations
- United KingdomSwedenChina
In The Last Decade
Jifei Song
11 papers receiving 566 citations
Peers
Comparison fields: 5 of 47
- Computer Vision and Pattern Recognition 528
- Artificial Intelligence 104
- Biomedical Engineering 89
- Computational Mechanics 59
- Computer Graphics and Computer-Aided Design 39
Countries citing papers authored by Jifei Song
This map shows the geographic impact of Jifei Song'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 Jifei Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jifei Song more than expected).
Fields of papers citing papers by Jifei Song
This network shows the impact of papers produced by Jifei Song. 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 Jifei Song. The network helps show where Jifei Song may publish in the future.
Co-authorship network of co-authors of Jifei Song
This figure shows the co-authorship network connecting the top 25 collaborators of Jifei Song. A scholar is included among the top collaborators of Jifei Song 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 Jifei Song. Jifei Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 12 | |
| 5 | 26 | |
| 6 | 31 | |
| 7 | 172 | |
| 8 | 69 | |
| 9 | 169 | |
| 10 | 36 | |
| 11 | 21 | |
| 12 | 8 |
About Jifei Song
Jifei Song is a scholar working on Computer Vision and Pattern Recognition, Instrumentation and Computer Graphics and Computer-Aided Design, having authored 12 papers that have together received 574 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (5 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Vision and Imaging (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (528 citations), Computer Graphics and Computer-Aided Design (39 citations) and Geology (24 citations). Jifei Song has collaborated with scholars based in United Kingdom, Sweden and China. Frequent co-authors include Yi-Zhe Song, Timothy M. Hospedales, Tao Xiang, Qian Yu, Yongxin Yang, Kaiyue Pang, Eduardo Pérez-Pellitero, Xiang Ruan, Yiren Zhou and Richard A. Shaw. Their work appears in journals such as IEEE Transactions on Image Processing, International Journal of Computer Vision and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.