Steve Young
- Artificial Intelligence top 0.05%
- Signal Processing top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Social Psychology top 5%
- Information Systems top 5%
- Co-authors
- Blaise ThomsonMilica GašićJ. D. WilliamsMark GalesJost SchatzmannPei-Hao SuTsung-Hsien WenNikola Mrkšić
- Topics
- Speech and dialogue systems (81 papers)Topic Modeling (55 papers)Multi-Agent Systems and Negotiation (33 papers)
- Partner nations
- United KingdomUnited StatesSouth Sudan
In The Last Decade
Steve Young
131 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Artificial Intelligence 6.1k
- Signal Processing 1.1k
- Computer Vision and Pattern Recognition 974
- Social Psychology 342
- Information Systems 228
Countries citing papers authored by Steve Young
This map shows the geographic impact of Steve 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 Steve Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Young more than expected).
Fields of papers citing papers by Steve Young
This network shows the impact of papers produced by Steve 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 Steve Young. The network helps show where Steve Young may publish in the future.
Co-authorship network of co-authors of Steve Young
This figure shows the co-authorship network connecting the top 25 collaborators of Steve Young. A scholar is included among the top collaborators of Steve Young 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 Steve Young. Steve Young is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | Exploiting sentence and context representations in deep neural models for spoken language understanding | 7 |
| 7 | 64 | |
| 8 | 161 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | POMDP-based dialogue manager adaptation to extended domains | 35 |
| 12 | The Effect of Cognitive Load on a Statistical Dialogue System | 6 |
| 13 | Gaussian Processes for Fast Policy Optimisation of POMDP-based Dialogue Managers | 38 |
| 14 | Phrase-Based Statistical Language Generation Using Graphical Models and Active Learning | 73 |
| 15 | From discontinuous to continuous F0 modelling in HMM-based speech synthesis. | 7 |
| 16 | Parameter estimation for agenda-based user simulation | 24 |
| 17 | 89 | |
| 18 | Robustness issues in a data-driven spoken language understanding system | 9 |
| 19 | Using Wizard-of-Oz simulations to bootstrap Reinforcement - Learning based dialog management systems | 17 |
| 20 | Statistical Modelling in Continuous Speech Recognition (CSR) | 11 |
About Steve Young
Steve Young is a scholar working on Artificial Intelligence, Signal Processing and Statistics and Probability, having authored 137 papers that have together received 7.0k indexed citations. Recurring topics across this work include Speech and dialogue systems (81 papers), Topic Modeling (55 papers) and Multi-Agent Systems and Negotiation (33 papers). The work is most often cited by research in Artificial Intelligence (6.1k citations), Signal Processing (1.1k citations) and Computer Vision and Pattern Recognition (974 citations). Steve Young has collaborated with scholars based in United Kingdom, United States and South Sudan. Frequent co-authors include Blaise Thomson, Milica Gašić, J. D. Williams, Mark Gales, Jost Schatzmann, Pei-Hao Su, Tsung-Hsien Wen, Nikola Mrkšić, David Vandyke and Kai Yu. Their work appears in journals such as Journal of Neuroscience, Analytical Chemistry and Proceedings of the IEEE.
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.