Samson Yu
Impact in
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining
- Topic Modeling
- Reinforcement Learning in Robotics
- Advanced Text Analysis Techniques
Papers in
-
- Human Pose and Action Recognition 4
- Multimodal Machine Learning Applications 2
- Generative Adversarial Networks and Image Synthesis 1
- Data Visualization and Analytics 1
- Advanced Image Processing Techniques 1
-
- Topic Modeling 3
- Advanced Text Analysis Techniques 3
- Sentiment Analysis and Opinion Mining 3
- Co-authors
- Jiafei Duan (3 shared papers)Cheston Tan (3 shared papers)Hui Li Tan (1 shared paper)Hongyuan Zhu (1 shared paper)Soujanya Poria (4 shared papers)Navonil Majumder (3 shared papers)Rada F. Mihalcea (2 shared papers)Niyati Chhaya (2 shared papers)
- Journals
- IEEE Transactions on Emerging Topics in Computational Intelligence (1 paper)Sensors (1 paper)Cognitive Computation (1 paper)Lecture notes in computer science (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- SingaporeUnited StatesMexico
In The Last Decade
Samson Yu
8 papers receiving 364 citations
Samson Yu's Hit Papers
Peers
Comparison fields: 5 of 62
- Health Informatics 10
- Artificial Intelligence 178
- Computer Vision and Pattern Recognition 111
- Human-Computer Interaction 13
- Experimental and Cognitive Psychology 26
Countries citing papers authored by Samson Yu
This map shows the geographic impact of Samson Yu'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 Samson Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samson Yu more than expected).
Fields of papers citing papers by Samson Yu
This network shows the impact of papers produced by Samson Yu. 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 Samson Yu. The network helps show where Samson Yu may publish in the future.
Co-authors
The 21 scholars most cited alongside Samson Yu, 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 | A Survey of Embodied AI: From Simulators to Research Tasks Hit paper breakdown → | 2022 | 245 |
| 2 | 2021 | 89 | |
| 3 | 2024 | 18 | |
| 4 | 2021 | 6 | |
| 5 | 2021 | 6 | |
| 6 | 2022 | 5 | |
| 7 | 2021 | 5 | |
| 8 | 2022 | 3 |
About Samson Yu
Samson Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Insect Science, Renewable Energy, Sustainability and the Environment and Obstetrics and Gynecology, having authored 8 papers that have together received 377 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (4 papers), Topic Modeling (3 papers), Advanced Text Analysis Techniques (3 papers), Sentiment Analysis and Opinion Mining (3 papers), Multimodal Machine Learning Applications (2 papers), Generative Adversarial Networks and Image Synthesis (1 paper), Data Visualization and Analytics (1 paper) and Advanced Image Processing Techniques (1 paper). The work is most often cited by research in Health Informatics (10 citations), Artificial Intelligence (178 citations), Computer Vision and Pattern Recognition (111 citations), Human-Computer Interaction (13 citations) and Experimental and Cognitive Psychology (26 citations). Samson Yu has collaborated with scholars based in Singapore, United States and Mexico. Frequent co-authors include Jiafei Duan, Cheston Tan, Hui Li Tan, Hongyuan Zhu, Soujanya Poria, Navonil Majumder, Rada F. Mihalcea, Niyati Chhaya, Deepanway Ghosal and Devamanyu Hazarika. Their work appears in journals such as IEEE Transactions on Emerging Topics in Computational Intelligence, Sensors, Cognitive Computation, Lecture notes in computer science and arXiv (Cornell University).
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.