Thomas S. Huang
About
In The Last Decade
Thomas S. Huang
911 papers receiving 59.2k citations
Hit Papers
Peers
Comparison fields: 5 of 221
- Computer Vision and Pattern Recognition 47.1k
- Artificial Intelligence 11.0k
- Media Technology 10.2k
- Signal Processing 6.9k
- Aerospace Engineering 5.3k
Countries citing papers authored by Thomas S. Huang
This map shows the geographic impact of Thomas S. Huang'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 Thomas S. Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas S. Huang more than expected).
Fields of papers citing papers by Thomas S. Huang
This network shows the impact of papers produced by Thomas S. Huang. 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 Thomas S. Huang. The network helps show where Thomas S. Huang may publish in the future.
Co-authorship network of co-authors of Thomas S. Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas S. Huang. A scholar is included among the top collaborators of Thomas S. Huang 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 Thomas S. Huang. Thomas S. Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation breakdown → | 302 |
| 2 | FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary | 5 |
| 3 | 7 | |
| 4 | Bottom-up Higher-Resolution Networks for Multi-Person Pose Estimation | 22 |
| 5 | Wide-activated Deep Residual Networks based Restoration for BPG-compressed Images | 27 |
| 6 | Deeply Improved Sparse Coding for Image Super-Resolution. | 20 |
| 7 | On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification | 3 |
| 8 | Ontological System for Context Artifacts and Resources | 0 |
| 9 | Image classification using supervector coding of local image descriptors | 4 |
| 10 | 266 | |
| 11 | A convergent solution to tensor subspace learning | 14 |
| 12 | 6 | |
| 13 | 99 | |
| 14 | Generalized relevance feedback scheme for image retrieval | 4 |
| 15 | 80 | |
| 16 | 4 | |
| 17 | Time-varying imagery analysis | 0 |
| 18 | Advances in computer vision & image processing | 60 |
| 19 | 463 | |
| 20 | Digital holography | 28 |
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.