Chao Deng
Impact in
- Acoustics and Ultrasonics top 5%
- Random lasers and scattering media
- Instrumentation top 10%
Papers in
-
- Natural Language Processing Techniques 8
- Topic Modeling 8
- Speech and dialogue systems 5
- Domain Adaptation and Few-Shot Learning 3
-
- Multimodal Machine Learning 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)Ben Xu (1 shared paper)Ping Wu (1 shared paper)Yuduo Guo (1 shared paper)
- Journals
- Frontiers in Psychology (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)Applied Sciences (2 papers)IEEE Transactions on Very Large Scale Integration (VLSI) Systems (1 paper)Journal of Materials Research and Technology (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Chao Deng
36 papers receiving 653 citations
Peers
Comparison fields: 5 of 103
- Acoustics and Ultrasonics 57
- Instrumentation 31
- Computer Vision and Pattern Recognition 185
- Media Technology 71
- Biophysics 36
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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 116 | |
| 2 | 2004 | 113 | |
| 3 | 2005 | 95 | |
| 4 | 2017 | 59 | |
| 5 | 2017 | 56 | |
| 6 | 2022 | 41 | |
| 7 | 2022 | 25 | |
| 8 | 2021 | 25 | |
| 9 | 2023 | 21 | |
| 10 | 2019 | 20 | |
| 11 | 2014 | 19 | |
| 12 | 2023 | 16 | |
| 13 | 2022 | 14 | |
| 14 | 2015 | 11 | |
| 15 | 2022 | 8 | |
| 16 | 2024 | 8 | |
| 17 | 2013 | 8 | |
| 18 | 2024 | 7 | |
| 19 | 2015 | 6 | |
| 20 | 2014 | 5 |
About Chao Deng
Chao Deng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Information Systems and Hardware and Architecture, having authored 46 papers that have together received 702 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (8 papers), Topic Modeling (8 papers), Speech and dialogue systems (5 papers), VLSI and FPGA Design Techniques (5 papers), Low-power high-performance VLSI design (5 papers), Parallel Computing and Optimization Techniques (5 papers), Multimodal Machine Learning Applications (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Acoustics and Ultrasonics (57 citations), Instrumentation (31 citations), Computer Vision and Pattern Recognition (185 citations), Media Technology (71 citations) and Biophysics (36 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, Ben Xu, Ping Wu, Yuduo Guo, Jiamin Wu and Lu Fang. Their work appears in journals such as Frontiers in Psychology, IEEE Transactions on Pattern Analysis and Machine Intelligence, Applied Sciences, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Journal of Materials Research and Technology.
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.