Pei-Hao Su
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 10%
- Social Psychology
- Electrical and Electronic Engineering
- Co-authors
- Steve YoungTsung-Hsien WenMilica GašićNikola MrkšićDavid VandykeStefan UltesLina M. Rojas BarahonaPaweł Budzianowski
- Topics
- Speech and dialogue systems (25 papers)Topic Modeling (24 papers)Natural Language Processing Techniques (12 papers)
- Journals
- Computer Speech & LanguageIEEE/ACM Transactions on Audio Speech and Language ProcessingEmpirical Methods in Natural Language Processing
- Partner nations
- United KingdomTaiwanDenmark
In The Last Decade
Pei-Hao Su
26 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 1.4k
- Computer Vision and Pattern Recognition 249
- Information Systems 95
- Social Psychology 37
- Electrical and Electronic Engineering 27
Countries citing papers authored by Pei-Hao Su
This map shows the geographic impact of Pei-Hao Su'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 Pei-Hao Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei-Hao Su more than expected).
Fields of papers citing papers by Pei-Hao Su
This network shows the impact of papers produced by Pei-Hao Su. 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 Pei-Hao Su. The network helps show where Pei-Hao Su may publish in the future.
Co-authorship network of co-authors of Pei-Hao Su
This figure shows the co-authorship network connecting the top 25 collaborators of Pei-Hao Su. A scholar is included among the top collaborators of Pei-Hao Su 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 Pei-Hao Su. Pei-Hao Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | Data Collection and End-to-End Learning for Conversational AI. | 4 |
| 3 | 8 | |
| 4 | 43 | |
| 5 | 9 | |
| 6 | 75 | |
| 7 | A Network-based End-to-End Trainable Task-oriented Dialogue Systembreakdown → | 451 |
| 8 | 69 | |
| 9 | 16 | |
| 10 | Exploiting sentence and context representations in deep neural models for spoken language understanding | 7 |
| 11 | 64 | |
| 12 | Multi-domain dialog state tracking using recurrent neural networks | 76 |
| 13 | Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systemsbreakdown → | 466 |
| 14 | 13 | |
| 15 | 7 | |
| 16 | 18 | |
| 17 | NTU Chinese 2.0: a personalized recursive dialogue game for computer-assisted learning of Mandarin Chinese. | 3 |
| 18 | 1 | |
| 19 | 5 | |
| 20 | 19 |
About Pei-Hao Su
Pei-Hao Su is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include Speech and dialogue systems (25 papers), Topic Modeling (24 papers) and Natural Language Processing Techniques (12 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Computer Vision and Pattern Recognition (249 citations) and Information Systems (95 citations). Pei-Hao Su has collaborated with scholars based in United Kingdom, Taiwan and Denmark. Frequent co-authors include Steve Young, Tsung-Hsien Wen, Milica Gašić, Nikola Mrkšić, David Vandyke, Stefan Ultes, Lina M. Rojas Barahona, Paweł Budzianowski, Iñigo Casanueva and Diarmuid Ó Séaghdha. Their work appears in journals such as Computer Speech & Language, IEEE/ACM Transactions on Audio Speech and Language Processing and 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.