Guoli Ye
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Speech and dialogue systems
- Topic Modeling
Papers in
-
- Speech Recognition and Synthesis 14
- Natural Language Processing Techniques 5
- Topic Modeling 3
- Speech and dialogue systems 2
-
- Speech and Audio Processing 8
- Music and Audio Processing 6
- Co-authors
- Jinyu Li (8 shared papers)Yifan Gong (6 shared papers)Rui Zhao (4 shared papers)Zhuo Chen (3 shared papers)Yu Wu (4 shared papers)Liang Lu (4 shared papers)Chengyi Wang (3 shared papers)Shujie Liu (3 shared papers)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Guoli Ye
13 papers receiving 214 citations
Peers
Comparison fields: 5 of 26
- Signal Processing 157
- Artificial Intelligence 214
- Experimental and Cognitive Psychology 8
- Computer Vision and Pattern Recognition 10
- Language and Linguistics 5
Countries citing papers authored by Guoli Ye
This map shows the geographic impact of Guoli Ye'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 Guoli Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoli Ye more than expected).
Fields of papers citing papers by Guoli Ye
This network shows the impact of papers produced by Guoli Ye. 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 Guoli Ye. The network helps show where Guoli Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Guoli Ye, 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 | 2019 | 44 | |
| 2 | 2018 | 34 | |
| 3 | 2020 | 31 | |
| 4 | 2020 | 21 | |
| 5 | 2019 | 19 | |
| 6 | 2021 | 17 | |
| 7 | 2021 | 16 | |
| 8 | 2020 | 15 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 9 | |
| 11 | 2018 | 5 | |
| 12 | Reducing the Latency of End-to-End Streaming Speech Recognition Models with a Scout Network | 2020 | 3 |
| 13 | 2024 | 3 | |
| 14 | 2023 | 0 |
About Guoli Ye
Guoli Ye is a scholar working on Artificial Intelligence, Signal Processing, Physiology, Infectious Diseases and Organic Chemistry, having authored 14 papers that have together received 228 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (14 papers), Speech and Audio Processing (8 papers), Music and Audio Processing (6 papers), Natural Language Processing Techniques (5 papers), Topic Modeling (3 papers), Speech and dialogue systems (2 papers) and Voice and Speech Disorders (1 paper). The work is most often cited by research in Signal Processing (157 citations), Artificial Intelligence (214 citations), Experimental and Cognitive Psychology (8 citations), Computer Vision and Pattern Recognition (10 citations) and Language and Linguistics (5 citations). Guoli Ye has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Jinyu Li, Yifan Gong, Rui Zhao, Zhuo Chen, Yu Wu, Liang Lu, Chengyi Wang, Shujie Liu, Naoyuki Kanda and Zhong Meng. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing and arXiv (Cornell University).
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.