Dit‐Yan Yeung
About
In The Last Decade
Dit‐Yan Yeung
140 papers receiving 9.2k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Computer Vision and Pattern Recognition 5.4k
- Artificial Intelligence 4.1k
- Information Systems 1.6k
- Media Technology 1.2k
- Signal Processing 755
Countries citing papers authored by Dit‐Yan Yeung
This map shows the geographic impact of Dit‐Yan Yeung'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 Dit‐Yan Yeung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dit‐Yan Yeung more than expected).
Fields of papers citing papers by Dit‐Yan Yeung
This network shows the impact of papers produced by Dit‐Yan Yeung. 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 Dit‐Yan Yeung. The network helps show where Dit‐Yan Yeung may publish in the future.
Co-authorship network of co-authors of Dit‐Yan Yeung
This figure shows the co-authorship network connecting the top 25 collaborators of Dit‐Yan Yeung. A scholar is included among the top collaborators of Dit‐Yan Yeung 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 Dit‐Yan Yeung. Dit‐Yan Yeung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 41 | |
| 3 | 25 | |
| 4 | 20 | |
| 5 | 11 | |
| 6 | MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space | 8 |
| 7 | 18 | |
| 8 | Learning a Deep Compact Image Representation for Visual Tracking breakdown → | 603 |
| 9 | Co-Regularized Hashing for Multimodal Data | 141 |
| 10 | Probabilistic Multi-Task Feature Selection | 53 |
| 11 | A convex formulation for learning task relationships in multi-task learning | 212 |
| 12 | Coherence Functions for Multicategory Margin-based Classification Methods | 6 |
| 13 | Probabilistic Relational PCA | 13 |
| 14 | Posterior Consistency of the Silverman g-prior in Bayesian Model Choice | 7 |
| 15 | Boosting kernel discriminant analysis and its application to tissue classification of gene expression data | 5 |
| 16 | 10 | |
| 17 | Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Hong Kong, China, August 17-19, ... (Lecture Notes in Computer Science) | 2 |
| 18 | Reinforcement learning in episodic non-stationary markovian environments | 0 |
| 19 | Parametric distance metric learning with label information | 42 |
| 20 | An Environment Model for Nonstationary Reinforcement Learning | 18 |
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.