Chao Deng
Impact in
- Acoustics and Ultrasonics top 5%
- Random lasers and scattering media
- Instrumentation top 10%
Papers in
-
- Topic Modeling 7
- Natural Language Processing Techniques 6
- Speech and dialogue systems 4
- Domain Adaptation and Few-Shot Learning 3
- Neural Networks and Applications 3
- Co-authors
- Meng Joo Er (1 shared paper)M.J. Er (1 shared paper)Qionghai Dai (5 shared papers)Jinli Suo (4 shared papers)Qiulin Li (1 shared paper)Ping Wu (1 shared paper)Ben Xu (1 shared paper)Jingtao Fan (2 shared papers)
- Journals
- Frontiers in Psychology (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)Applied Sciences (2 papers)Neurocomputing (1 paper)IEEE Transactions on Mobile Computing (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Chao Deng
31 papers receiving 584 citations
Peers
Comparison fields: 5 of 102
- Acoustics and Ultrasonics 57
- Instrumentation 31
- Computer Vision and Pattern Recognition 164
- Media Technology 64
- Biophysics 35
Countries citing papers authored by Chao Deng
This map shows the geographic impact of Chao Deng'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 Chao Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Deng more than expected).
Fields of papers citing papers by Chao Deng
This network shows the impact of papers produced by Chao Deng. 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 Chao Deng. The network helps show where Chao Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Chao Deng, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 105 | |
| 2 | 2022 | 103 | |
| 3 | 2005 | 87 | |
| 4 | 2017 | 56 | |
| 5 | 2017 | 56 | |
| 6 | 2022 | 38 | |
| 7 | 2022 | 24 | |
| 8 | 2021 | 23 | |
| 9 | 2019 | 18 | |
| 10 | 2014 | 17 | |
| 11 | 2023 | 15 | |
| 12 | 2023 | 13 | |
| 13 | 2022 | 12 | |
| 14 | 2015 | 9 | |
| 15 | 2022 | 7 | |
| 16 | 2013 | 6 | |
| 17 | 2024 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2015 | 5 | |
| 20 | 2014 | 4 |
About Chao Deng
Chao Deng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Hardware and Architecture and Information Systems, having authored 43 papers that have together received 626 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers), Low-power high-performance VLSI design (5 papers), VLSI and FPGA Design Techniques (5 papers), Parallel Computing and Optimization Techniques (5 papers), Speech and dialogue systems (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Acoustics and Ultrasonics (57 citations), Instrumentation (31 citations), Computer Vision and Pattern Recognition (164 citations), Media Technology (64 citations) and Biophysics (35 citations). Chao Deng has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Meng Joo Er, M.J. Er, Qionghai Dai, Jinli Suo, Qiulin Li, Ping Wu, Ben Xu, Jingtao Fan, Zhi Lü and Jiamin Wu. Their work appears in journals such as Frontiers in Psychology, IEEE Transactions on Pattern Analysis and Machine Intelligence, Applied Sciences, Neurocomputing and IEEE Transactions on Mobile Computing.
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.