Jia Cui
Impact in
- Signal Processing top 2%
- Music and Audio Processing
- Speech and Audio Processing
- Artificial Intelligence top 2%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
- Domain Adaptation and Few-Shot Learning
Papers in
-
- Speech Recognition and Synthesis 23
- Natural Language Processing Techniques 12
- Speech and dialogue systems 5
- Topic Modeling 5
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- Speech and Audio Processing 13
- Music and Audio Processing 11
- Co-authors
- Bhuvana Ramabhadran (15 shared papers)Samuel Thomas (2 shared papers)Brian Kingsbury (12 shared papers)Gakuto Kurata (1 shared paper)Takashi Fukuda (1 shared paper)Dong Yu (8 shared papers)Chengzhu Yu (6 shared papers)Abhinav Sethy (8 shared papers)
- Journals
- Buildings (2 papers)IEEE Access (2 papers)Signal Processing (2 papers)Neural Networks (1 paper)Virtual Reality (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jia Cui
46 papers receiving 654 citations
Peers
Comparison fields: 5 of 83
- Signal Processing 331
- Artificial Intelligence 533
- Computer Vision and Pattern Recognition 136
- Human-Computer Interaction 16
- Building and Construction 39
Countries citing papers authored by Jia Cui
This map shows the geographic impact of Jia Cui'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 Jia Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia Cui more than expected).
Fields of papers citing papers by Jia Cui
This network shows the impact of papers produced by Jia Cui. 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 Jia Cui. The network helps show where Jia Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Jia Cui, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 154 | |
| 2 | 2015 | 58 | |
| 3 | 2023 | 50 | |
| 4 | 2013 | 43 | |
| 5 | 2019 | 41 | |
| 6 | 2013 | 40 | |
| 7 | 2018 | 38 | |
| 8 | 2013 | 30 | |
| 9 | 2017 | 29 | |
| 10 | 2013 | 27 | |
| 11 | 2020 | 26 | |
| 12 | 2019 | 21 | |
| 13 | 2017 | 16 | |
| 14 | 2018 | 15 | |
| 15 | 2016 | 11 | |
| 16 | 2014 | 11 | |
| 17 | 2016 | 10 | |
| 18 | 2018 | 9 | |
| 19 | 2021 | 8 | |
| 20 | 2024 | 7 |
About Jia Cui
Jia Cui is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Information Systems and Ocean Engineering, having authored 50 papers that have together received 723 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (23 papers), Speech and Audio Processing (13 papers), Natural Language Processing Techniques (12 papers), Music and Audio Processing (11 papers), Speech and dialogue systems (5 papers), Visual Attention and Saliency Detection (5 papers), Topic Modeling (5 papers) and Advanced Vision and Imaging (4 papers). The work is most often cited by research in Signal Processing (331 citations), Artificial Intelligence (533 citations), Computer Vision and Pattern Recognition (136 citations), Human-Computer Interaction (16 citations) and Building and Construction (39 citations). Jia Cui has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Bhuvana Ramabhadran, Samuel Thomas, Brian Kingsbury, Gakuto Kurata, Takashi Fukuda, Dong Yu, Chengzhu Yu, Abhinav Sethy, Xiaodong Cui and Chao Weng. Their work appears in journals such as Buildings, IEEE Access, Signal Processing, Neural Networks and Virtual Reality.
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.