Doyen Sahoo
-
- Multimodal Machine Learning Applications 5
- Advanced Neural Network Applications 4
- Human Pose and Action Recognition 3
- Advanced Image and Video Retrieval Techniques 3
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning 6
- Speech and dialogue systems 3
- Topic Modeling 2
- Data Stream Mining Techniques 2
- Media Technology top 5%
- Co-authors
- Steven C. H. HoiXiongwei WuPeilin ZhaoJing LuChenghao LiuHao WangEe‐Peng LimBin Li
- Journals
- International Journal of Computer Vision (1 paper)Neurocomputing (3 papers)Computer Speech & Language (1 paper)
- Partner nations
- SingaporeUnited StatesChina
In The Last Decade
Doyen Sahoo
19 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Computer Vision and Pattern Recognition 607
- Artificial Intelligence 428
- Media Technology 105
- Industrial and Manufacturing Engineering 89
- Environmental Engineering 62
Countries citing papers authored by Doyen Sahoo
This map shows the geographic impact of Doyen Sahoo'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 Doyen Sahoo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Doyen Sahoo more than expected).
Fields of papers citing papers by Doyen Sahoo
This network shows the impact of papers produced by Doyen Sahoo. 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 Doyen Sahoo. The network helps show where Doyen Sahoo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Doyen Sahoo, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2023 | 0 | |
| 5 | Contextual Transformation Networks for Online Continual Learning | 2021 | 13 |
| 6 | PolarNet: Learning to Optimize Polar Keypoints for Keypoint Based Object Detection | 2021 | 4 |
| 7 | Online learning: A comprehensive surveybreakdown → | 2021 | 336 |
| 8 | 2020 | 13 | |
| 9 | Recent advances in deep learning for object detectionbreakdown → | 2020 | 711 |
| 10 | 2020 | 2 | |
| 11 | 2020 | 16 | |
| 12 | 2020 | 51 | |
| 13 | 2019 | 31 | |
| 14 | 2019 | 85 | |
| 15 | End-to-End Multi-Domain Task-Oriented Dialogue Systems with Multi-level Neural Belief Tracker | 2019 | 2 |
| 16 | Meta-Learning with Domain Adaptation for Few-Shot Learning under Domain Shift | 2018 | 12 |
| 17 | Online learning with nonlinear models | 2017 | 1 |
| 18 | Cost sensitive online multiple kernel classification | 2016 | 10 |
| 19 | 2016 | 1 | |
| 20 | Phytochemical Screening of Crude Bark extracts of Tecoma stans Linn. (Bignoniaceae). | 2009 | 1 |
About Doyen Sahoo
Doyen Sahoo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Science Applications, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (6 papers), Multimodal Machine Learning Applications (5 papers), Advanced Neural Network Applications (4 papers), Speech and dialogue systems (3 papers), Human Pose and Action Recognition (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Topic Modeling (2 papers) and Data Stream Mining Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (607 citations), Artificial Intelligence (428 citations) and Media Technology (105 citations). Doyen Sahoo has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Steven C. H. Hoi, Xiongwei Wu, Peilin Zhao, Jing Lu, Chenghao Liu, Hao Wang, Ee‐Peng Lim, Bin Li, Hung Lê and Nancy F. Chen. Their work appears in journals such as International Journal of Computer Vision, Neurocomputing and Computer Speech & Language.
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.