Baochen Sun
Impact in
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- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Artificial Intelligence top 0.5%
- Domain Adaptation and Few-Shot Learning
- Machine Learning and ELM
- Anomaly Detection Techniques and Applications
Papers in
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- Domain Adaptation and Few-Shot Learning 8
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- Multimodal Machine Learning Applications 4
- Advanced Neural Network Applications 4
- Advanced Image and Video Retrieval Techniques 2
- Human Pose and Action Recognition 2
- Image Enhancement Techniques 1
- Co-authors
- Kate Saenko (8 shared papers)Jiashi Feng (2 shared papers)Karim Ali (1 shared paper)Xingchao Peng (2 shared papers)Todd Zickler (1 shared paper)Ayan Chakrabarti (1 shared paper)Ying Xiong (1 shared paper)Daniel Scharstein (1 shared paper)
- Journals
- Advances in computer vision and pattern recognition (1 paper)IEEE Access (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Lecture notes in computer science (1 paper)Jisuanji yingyong yanjiu (1 paper)
- Partner nations
- United StatesSingaporeChina
In The Last Decade
Baochen Sun
10 papers receiving 4.1k citations
Baochen Sun's Hit Papers
Peers
Comparison fields: 5 of 134
- Computer Vision and Pattern Recognition 1.9k
- Artificial Intelligence 2.5k
- Media Technology 273
- Control and Systems Engineering 570
- Signal Processing 212
Countries citing papers authored by Baochen Sun
This map shows the geographic impact of Baochen Sun'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 Baochen Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baochen Sun more than expected).
Fields of papers citing papers by Baochen Sun
This network shows the impact of papers produced by Baochen Sun. 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 Baochen Sun. The network helps show where Baochen Sun may publish in the future.
Co-authors
The 12 scholars most cited alongside Baochen Sun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Deep CORAL: Correlation Alignment for Deep Domain Adaptation Hit paper breakdown → | 2016 | 2153 |
| 2 | Return of Frustratingly Easy Domain Adaptation Hit paper breakdown → | 2016 | 1299 |
| 3 | 2017 | 271 | |
| 4 | 2015 | 210 | |
| 5 | 2015 | 140 | |
| 6 | 2014 | 93 | |
| 7 | 2014 | 33 | |
| 8 | 2022 | 7 | |
| 9 | 2017 | 2 | |
| 10 | Study on diagnosis model for support process based on FMEA and fuzzy reasoning Petri nets | 2012 | 1 |
About Baochen Sun
Baochen Sun is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Cancer Research, Control and Systems Engineering and Ecology, having authored 10 papers that have together received 4.2k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (8 papers), Multimodal Machine Learning Applications (4 papers), Advanced Neural Network Applications (4 papers), Advanced Image and Video Retrieval Techniques (2 papers), Cancer-related molecular mechanisms research (2 papers), Human Pose and Action Recognition (2 papers), Color Science and Applications (1 paper) and Image Enhancement Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Artificial Intelligence (2.5k citations), Media Technology (273 citations), Control and Systems Engineering (570 citations) and Signal Processing (212 citations). Baochen Sun has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Kate Saenko, Jiashi Feng, Karim Ali, Xingchao Peng, Todd Zickler, Ayan Chakrabarti, Ying Xiong, Daniel Scharstein, Trevor Darrell and Pengming Feng. Their work appears in journals such as Advances in computer vision and pattern recognition, IEEE Access, IEEE Transactions on Pattern Analysis and Machine Intelligence, Lecture notes in computer science and Jisuanji yingyong yanjiu.
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.