Danwei Cai
Impact in
- Signal Processing top 2%
- Speech and Audio Processing
- Music and Audio Processing
- Biometric Identification and Security
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis
Papers in
-
- Speech Recognition and Synthesis 23
-
- Speech and Audio Processing 20
- Music and Audio Processing 14
- Co-authors
- Ming Li (22 shared papers)Weicheng Cai (8 shared papers)Xiaoyi Qin (5 shared papers)Wenbo Liu (2 shared papers)Haiwei Wu (1 shared paper)Gang Li (1 shared paper)Weiqing Wang (4 shared papers)Ming Li (1 shared paper)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (4 papers)Pattern Recognition (1 paper)Conference of the International Speech Communication Association (1 paper)
- Partner nations
- ChinaUnited StatesMalaysia
In The Last Decade
Danwei Cai
23 papers receiving 281 citations
Peers
Comparison fields: 5 of 34
- Signal Processing 265
- Artificial Intelligence 261
- Computer Vision and Pattern Recognition 39
- Physiology 26
- Experimental and Cognitive Psychology 9
Countries citing papers authored by Danwei Cai
This map shows the geographic impact of Danwei Cai'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 Danwei Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danwei Cai more than expected).
Fields of papers citing papers by Danwei Cai
This network shows the impact of papers produced by Danwei Cai. 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 Danwei Cai. The network helps show where Danwei Cai may publish in the future.
Co-authors
The 16 scholars most cited alongside Danwei Cai, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 48 | |
| 2 | 2019 | 43 | |
| 3 | 2020 | 32 | |
| 4 | 2021 | 23 | |
| 5 | 2017 | 21 | |
| 6 | 2019 | 19 | |
| 7 | 2022 | 14 | |
| 8 | 2017 | 13 | |
| 9 | 2019 | 12 | |
| 10 | 2022 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 2023 | 9 | |
| 13 | 2024 | 8 | |
| 14 | 2022 | 6 | |
| 15 | 2018 | 6 | |
| 16 | 2018 | 5 | |
| 17 | 2017 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2021 | 2 | |
| 20 | 2016 | 2 |
About Danwei Cai
Danwei Cai is a scholar working on Artificial Intelligence, Signal Processing, Physiology, Experimental and Cognitive Psychology and Information Systems, having authored 24 papers that have together received 298 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (23 papers), Speech and Audio Processing (20 papers), Music and Audio Processing (14 papers), Voice and Speech Disorders (3 papers), Phonetics and Phonology Research (2 papers), Chaos-based Image/Signal Encryption (1 paper), Magnetic confinement fusion research (1 paper) and Quantum chaos and dynamical systems (1 paper). The work is most often cited by research in Signal Processing (265 citations), Artificial Intelligence (261 citations), Computer Vision and Pattern Recognition (39 citations), Physiology (26 citations) and Experimental and Cognitive Psychology (9 citations). Danwei Cai has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Ming Li, Weicheng Cai, Xiaoyi Qin, Wenbo Liu, Haiwei Wu, Gang Li, Weiqing Wang, Ming Li, Bok‐Min Goi and Wun‐She Yap. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Pattern Recognition and Conference of the International Speech Communication Association.
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.