Nan Song
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Biomedical Engineering
- Molecular Biology
- Topics
- Speech and dialogue systems (2 papers)Sentiment Analysis and Opinion Mining (2 papers)Topic Modeling (2 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of CheminformaticsLanguage Resources and Evaluation
- Partner nations
- ChinaSingaporeUnited Kingdom
In The Last Decade
Nan Song
12 papers receiving 257 citations
Hit Papers
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 182
- Computer Vision and Pattern Recognition 114
- Radiology, Nuclear Medicine and Imaging 29
- Biomedical Engineering 17
- Molecular Biology 15
Countries citing papers authored by Nan Song
This map shows the geographic impact of Nan 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 Nan Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Song more than expected).
Fields of papers citing papers by Nan Song
This network shows the impact of papers produced by Nan 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 Nan Song. The network helps show where Nan Song may publish in the future.
Co-authorship network of co-authors of Nan Song
This figure shows the co-authorship network connecting the top 25 collaborators of Nan Song. A scholar is included among the top collaborators of Nan 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 Nan Song. Nan 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 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 16 | |
| 9 | 8 | |
| 10 | Few-Shot Incremental Learning with Continually Evolved Classifiersbreakdown → | 211 |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 11 | |
| 14 | 3 | |
| 15 | 1 |
About Nan Song
Nan Song is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 15 papers that have together received 263 indexed citations. Recurring topics across this work include Speech and dialogue systems (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Artificial Intelligence (182 citations), Computer Vision and Pattern Recognition (114 citations) and Human-Computer Interaction (9 citations). Nan Song has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Guosheng Lin, Yinghui Xu, Pan Pan, Yun Zheng, Chi Zhang, Hongwu Yang, Ercheng Wang, Fei Guo, Chi Zhang and Junhai Xu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Cheminformatics and Language Resources and Evaluation.
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.