Houwei Cao
Impact in
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- Emotion and Mood Recognition
- Signal Processing top 2%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
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- Speech Recognition and Synthesis 13
- Natural Language Processing Techniques 7
- Sentiment Analysis and Opinion Mining 4
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- Emotion and Mood Recognition 12
- Phonetics and Phonology Research 4
- Co-authors
- Ani Nenkova (8 shared papers)Ragini Verma (8 shared papers)Ruben C. Gur (3 shared papers)David G. Cooper (2 shared papers)Michael K. Keutmann (1 shared paper)Arman Savran (3 shared papers)P.C. Ching (8 shared papers)Tan Lee (7 shared papers)
- Journals
- Computer Networks (4 papers)Computer Speech & Language (2 papers)IEEE Transactions on Affective Computing (2 papers)IEEE Access (1 paper)IEEE Transactions on Information Forensics and Security (1 paper)
- Partner nations
- United StatesHong KongChina
In The Last Decade
Houwei Cao
35 papers receiving 943 citations
Houwei Cao's Hit Papers
Peers
Comparison fields: 5 of 72
- Experimental and Cognitive Psychology 490
- Signal Processing 419
- Computer Vision and Pattern Recognition 285
- Artificial Intelligence 370
- Pharmacy 27
Countries citing papers authored by Houwei Cao
This map shows the geographic impact of Houwei 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 Houwei Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Houwei Cao more than expected).
Fields of papers citing papers by Houwei Cao
This network shows the impact of papers produced by Houwei 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 Houwei Cao. The network helps show where Houwei Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Houwei 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
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset Hit paper breakdown → | 2014 | 484 |
| 2 | 2014 | 82 | |
| 3 | 2020 | 44 | |
| 4 | 2012 | 44 | |
| 5 | 2014 | 42 | |
| 6 | 2022 | 33 | |
| 7 | 2022 | 30 | |
| 8 | 2009 | 23 | |
| 9 | 2023 | 22 | |
| 10 | 2006 | 22 | |
| 11 | 2010 | 13 | |
| 12 | 2021 | 13 | |
| 13 | 2020 | 12 | |
| 14 | 2012 | 11 | |
| 15 | 2014 | 10 | |
| 16 | 2013 | 10 | |
| 17 | 2018 | 10 | |
| 18 | 2014 | 8 | |
| 19 | 2018 | 8 | |
| 20 | 2010 | 7 |
About Houwei Cao
Houwei Cao is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 983 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (13 papers), Emotion and Mood Recognition (12 papers), Caching and Content Delivery (10 papers), Natural Language Processing Techniques (7 papers), Recommender Systems and Techniques (7 papers), Phonetics and Phonology Research (4 papers), Sentiment Analysis and Opinion Mining (4 papers) and Speech and Audio Processing (4 papers). The work is most often cited by research in Experimental and Cognitive Psychology (490 citations), Signal Processing (419 citations), Computer Vision and Pattern Recognition (285 citations), Artificial Intelligence (370 citations) and Pharmacy (27 citations). Houwei Cao has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Ani Nenkova, Ragini Verma, Ruben C. Gur, David G. Cooper, Michael K. Keutmann, Arman Savran, P.C. Ching, Tan Lee, Joyce Y.C. Chan and Yong Liu. Their work appears in journals such as Computer Networks, Computer Speech & Language, IEEE Transactions on Affective Computing, IEEE Access and IEEE Transactions on Information Forensics and Security.
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.