Susannah Young
Impact in
-
- Hand Gesture Recognition Systems
-
- Natural Language Processing Techniques
- Topic Modeling
- Speech Recognition and Synthesis
Papers in
-
- Advanced Image and Video Retrieval Techniques 1
- Image Retrieval and Classification Techniques 1
- Medical Image Segmentation Techniques 1
- Multimodal Machine Learning Applications 1
-
- Topic Modeling 1
- Natural Language Processing Techniques 1
- Co-authors
- Srivatsan Srinivasan (1 shared paper)Ling Wang (1 shared paper)Po-Sen Huang (1 shared paper)Chris Dyer (2 shared papers)Dani Yogatama (1 shared paper)Wojciech Stokowiec (1 shared paper)Yotam Doron (1 shared paper)Lei Yu (1 shared paper)
- Journals
- Empirical Methods in Natural Language Processing (1 paper)
- Partner nations
- United StatesPolandUnited Kingdom
In The Last Decade
Susannah Young
2 papers receiving 4 citations
Peers
Comparison fields: 4 of 4
- Human-Computer Interaction 1
- Artificial Intelligence 4
- Computer Vision and Pattern Recognition 2
- Signal Processing 1
Countries citing papers authored by Susannah Young
This map shows the geographic impact of Susannah Young'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 Susannah Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susannah Young more than expected).
Fields of papers citing papers by Susannah Young
This network shows the impact of papers produced by Susannah Young. 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 Susannah Young. The network helps show where Susannah Young may publish in the future.
Co-authors
The 11 scholars most cited alongside Susannah Young, 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 | 2020 | 4 | |
| 2 | Relative Pixel Prediction For Autoregressive Image Generation | 2019 | 1 |
About Susannah Young
Susannah Young is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Infectious Diseases, Organic Chemistry and Surgery, having authored 2 papers that have together received 5 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (1 paper), Topic Modeling (1 paper), Natural Language Processing Techniques (1 paper), Image Retrieval and Classification Techniques (1 paper), Medical Image Segmentation Techniques (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Human-Computer Interaction (1 citation), Artificial Intelligence (4 citations), Computer Vision and Pattern Recognition (2 citations), Signal Processing (1 citation) and Infectious Diseases (0 citations). Susannah Young has collaborated with scholars based in United States, Poland and United Kingdom. Frequent co-authors include Srivatsan Srinivasan, Ling Wang, Po-Sen Huang, Chris Dyer, Dani Yogatama, Wojciech Stokowiec, Yotam Doron, Lei Yu, Phil Blunsom and Yu Lei. Their work appears in journals such as Empirical Methods in Natural Language Processing.
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.