Kris Cao
Impact in
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- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- Advanced Text Analysis Techniques
- Speech Recognition and Synthesis
- Anomaly Detection Techniques and Applications
Papers in
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- Natural Language Processing Techniques 6
- Topic Modeling 6
- Speech Recognition and Synthesis 2
- Text Readability and Simplification 2
- Speech and dialogue systems 1
- Algorithms and Data Compression 1
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- Autonomous Vehicle Technology and Safety 1
- Co-authors
- Stephen Clark (2 shared papers)Marek Rei (1 shared paper)Laura Rimell (1 shared paper)Yi Yang (1 shared paper)Pol Moreno (1 shared paper)Adrià Recasens (1 shared paper)Demis Hassabis (1 shared paper)Zhe Wang (1 shared paper)
- Journals
- Scientific Reports (1 paper)Apollo (University of Cambridge) (1 paper)Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
Kris Cao
6 papers receiving 68 citations
Peers
Comparison fields: 5 of 19
- Artificial Intelligence 62
- Signal Processing 8
- Computer Vision and Pattern Recognition 14
- Orthopedics and Sports Medicine 5
- Economics and Econometrics 8
Countries citing papers authored by Kris Cao
This map shows the geographic impact of Kris Cao'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 Kris Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kris Cao more than expected).
Fields of papers citing papers by Kris Cao
This network shows the impact of papers produced by Kris Cao. 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 Kris Cao. The network helps show where Kris Cao may publish in the future.
Co-authors
The 23 scholars most cited alongside Kris Cao, 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 | 2017 | 38 | |
| 2 | 2022 | 12 | |
| 3 | 2022 | 11 | |
| 4 | 2019 | 8 | |
| 5 | 2021 | 4 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 0 |
About Kris Cao
Kris Cao is a scholar working on Artificial Intelligence, Automotive Engineering, Signal Processing, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 74 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers), Speech Recognition and Synthesis (2 papers), Text Readability and Simplification (2 papers), Speech and dialogue systems (1 paper), Autonomous Vehicle Technology and Safety (1 paper), Time Series Analysis and Forecasting (1 paper) and Algorithms and Data Compression (1 paper). The work is most often cited by research in Artificial Intelligence (62 citations), Signal Processing (8 citations), Computer Vision and Pattern Recognition (14 citations), Orthopedics and Sports Medicine (5 citations) and Economics and Econometrics (8 citations). Kris Cao has collaborated with scholars based in United Kingdom. Frequent co-authors include Stephen Clark, Marek Rei, Laura Rimell, Yi Yang, Pol Moreno, Adrià Recasens, Demis Hassabis, Zhe Wang, Romuald Élie and Paul Müller. Their work appears in journals such as Scientific Reports, Apollo (University of Cambridge) and Proceedings of the 2021 Conference on 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.