Xiaodong Cui
- Signal Processing top 0.5%
- Speech and Audio Processing 58
- Music and Audio Processing 45
- Artificial Intelligence top 1%
- Speech Recognition and Synthesis 68
- Natural Language Processing Techniques 11
- Speech and dialogue systems 6
- Topic Modeling 5
- Neural Networks and Applications 5
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- Advanced Neural Network Applications 7
- Co-authors
- Brian KingsburyVaibhava GoelAbeer AlwanA. AlwanMichael PichenyYuqing GaoMohamed AfifyYifan Gong
- Journals
- IEEE Transactions on Audio Speech and Language Processing (6 papers)Computer Speech & Language (3 papers)IEEE/ACM Transactions on Audio Speech and Language Processing (3 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Xiaodong Cui
90 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 115
- Signal Processing 824
- Artificial Intelligence 1.2k
- Computational Mathematics 7
- Computer Vision and Pattern Recognition 238
- Experimental and Cognitive Psychology 125
Countries citing papers authored by Xiaodong Cui
This map shows the geographic impact of Xiaodong 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 Xiaodong Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodong Cui more than expected).
Fields of papers citing papers by Xiaodong Cui
This network shows the impact of papers produced by Xiaodong 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 Xiaodong Cui. The network helps show where Xiaodong Cui may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaodong 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 15 | |
| 9 | Ultra-Low Precision 4-bit Training of Deep Neural Networks | 2020 | 53 |
| 10 | Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks | 2019 | 85 |
| 11 | Dilated Recurrent Neural Networks | 2017 | 66 |
| 12 | 2016 | 1 | |
| 13 | 2015 | 63 | |
| 14 | 2014 | 2 | |
| 15 | 2013 | 30 | |
| 16 | 2011 | 8 | |
| 17 | 2009 | 4 | |
| 18 | 2008 | 2 | |
| 19 | 2007 | 32 | |
| 20 | 2002 | 10 |
About Xiaodong Cui
Xiaodong Cui is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Media Technology, having authored 92 papers that have together received 1.6k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (68 papers), Speech and Audio Processing (58 papers), Music and Audio Processing (45 papers), Natural Language Processing Techniques (11 papers), Advanced Neural Network Applications (7 papers), Speech and dialogue systems (6 papers), Topic Modeling (5 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Signal Processing (824 citations), Artificial Intelligence (1.2k citations), Computational Mathematics (7 citations), Computer Vision and Pattern Recognition (238 citations) and Experimental and Cognitive Psychology (125 citations). Xiaodong Cui has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Brian Kingsbury, Vaibhava Goel, Abeer Alwan, A. Alwan, Michael Picheny, Yuqing Gao, Mohamed Afify, Yifan Gong, Jia Cui and George Saon. Their work appears in journals such as IEEE Transactions on Audio Speech and Language Processing, Computer Speech & Language, IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Signal Processing Magazine and Physica A Statistical Mechanics and its Applications.
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.