Ye Bai
Impact in
- Signal Processing top 2%
- Music and Audio Processing
- Speech and Audio Processing
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
Papers in
-
- Speech Recognition and Synthesis 22
- Natural Language Processing Techniques 13
- Topic Modeling 9
-
- Music and Audio Processing 13
- Speech and Audio Processing 12
- Co-authors
- Jianhua Tao (27 shared papers)Jiangyan Yi (26 shared papers)Zhengqi Wen (20 shared papers)Zhengkun Tian (16 shared papers)Shuai Zhang (4 shared papers)Yong Hu (5 shared papers)Ning Xu (5 shared papers)Cunhang Fan (8 shared papers)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (3 papers)European Food Research and Technology (1 paper)Water Air & Soil Pollution (1 paper)LWT (1 paper)Pattern Recognition (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Ye Bai
50 papers receiving 788 citations
Peers
Comparison fields: 5 of 109
- Signal Processing 304
- Artificial Intelligence 389
- Biochemistry 55
- Computer Vision and Pattern Recognition 128
- Food Science 99
Countries citing papers authored by Ye Bai
This map shows the geographic impact of Ye Bai'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 Ye Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Bai more than expected).
Fields of papers citing papers by Ye Bai
This network shows the impact of papers produced by Ye Bai. 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 Ye Bai. The network helps show where Ye Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye Bai, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 85 | |
| 2 | 2017 | 76 | |
| 3 | 2021 | 44 | |
| 4 | 2014 | 42 | |
| 5 | 2019 | 42 | |
| 6 | 2020 | 40 | |
| 7 | 2018 | 34 | |
| 8 | 2020 | 33 | |
| 9 | 2021 | 32 | |
| 10 | 2020 | 30 | |
| 11 | 2015 | 23 | |
| 12 | 2019 | 22 | |
| 13 | 2018 | 22 | |
| 14 | 2018 | 20 | |
| 15 | 2019 | 20 | |
| 16 | 2019 | 17 | |
| 17 | 2016 | 17 | |
| 18 | 2020 | 17 | |
| 19 | 2017 | 13 | |
| 20 | 2015 | 13 |
About Ye Bai
Ye Bai is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Molecular Biology and Control and Systems Engineering, having authored 52 papers that have together received 805 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (22 papers), Music and Audio Processing (13 papers), Natural Language Processing Techniques (13 papers), Speech and Audio Processing (12 papers), Topic Modeling (9 papers), Free Radicals and Antioxidants (3 papers), Microbial metabolism and enzyme function (3 papers) and Biofuel production and bioconversion (3 papers). The work is most often cited by research in Signal Processing (304 citations), Artificial Intelligence (389 citations), Biochemistry (55 citations), Computer Vision and Pattern Recognition (128 citations) and Food Science (99 citations). Ye Bai has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jianhua Tao, Jiangyan Yi, Zhengqi Wen, Zhengkun Tian, Shuai Zhang, Yong Hu, Ning Xu, Cunhang Fan, Dong‐Sheng Li and Weiguo Zhao. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, European Food Research and Technology, Water Air & Soil Pollution, LWT and Pattern Recognition.
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.