Yi Ren
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
- Speech and dialogue systems
Papers in
-
- Speech and Audio Processing 19
- Music and Audio Processing 17
-
- Speech Recognition and Synthesis 18
- Natural Language Processing Techniques 7
- Topic Modeling 4
- Co-authors
- Zhou Zhao (16 shared papers)Jinglin Liu (12 shared papers)Tao Qin (8 shared papers)Xu Tan (8 shared papers)Tie‐Yan Liu (6 shared papers)Rongjie Huang (6 shared papers)Chengxi Li (2 shared papers)Sheng Zhao (3 shared papers)
- Journals
- The Journal of the Acoustical Society of America (2 papers)Journal of the Audio Engineering Society (2 papers)Medical Physics (1 paper)Neural Computing and Applications (1 paper)Optics Communications (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Yi Ren
35 papers receiving 703 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Signal Processing 425
- Artificial Intelligence 435
- Computer Vision and Pattern Recognition 232
- Music 12
- Cognitive Neuroscience 57
Countries citing papers authored by Yi Ren
This map shows the geographic impact of Yi Ren'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 Yi Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Ren more than expected).
Fields of papers citing papers by Yi Ren
This network shows the impact of papers produced by Yi Ren. 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 Yi Ren. The network helps show where Yi Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Ren, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 110 | |
| 2 | 2021 | 50 | |
| 3 | AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head Hit paper breakdown → | 2024 | 48 |
| 4 | 2020 | 47 | |
| 5 | 2020 | 46 | |
| 6 | 2022 | 46 | |
| 7 | 2020 | 45 | |
| 8 | 2020 | 42 | |
| 9 | 2019 | 39 | |
| 10 | 2021 | 30 | |
| 11 | 2022 | 30 | |
| 12 | 2021 | 24 | |
| 13 | 2020 | 24 | |
| 14 | 2021 | 21 | |
| 15 | 2021 | 20 | |
| 16 | 2019 | 12 | |
| 17 | 2022 | 12 | |
| 18 | 2021 | 11 | |
| 19 | 2022 | 11 | |
| 20 | 2020 | 10 |
About Yi Ren
Yi Ren is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering and Cognitive Neuroscience, having authored 40 papers that have together received 724 indexed citations. Recurring topics across this work include Speech and Audio Processing (19 papers), Speech Recognition and Synthesis (18 papers), Music and Audio Processing (17 papers), Natural Language Processing Techniques (7 papers), Acoustic Wave Phenomena Research (4 papers), Topic Modeling (4 papers), Music Technology and Sound Studies (3 papers) and Video Analysis and Summarization (3 papers). The work is most often cited by research in Signal Processing (425 citations), Artificial Intelligence (435 citations), Computer Vision and Pattern Recognition (232 citations), Music (12 citations) and Cognitive Neuroscience (57 citations). Yi Ren has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zhou Zhao, Jinglin Liu, Tao Qin, Xu Tan, Tie‐Yan Liu, Rongjie Huang, Chengxi Li, Sheng Zhao, Jian Luan and Dan Su. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of the Audio Engineering Society, Medical Physics, Neural Computing and Applications and Optics Communications.
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.