Zeyu Jin
Impact in
- Signal Processing top 2%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
Papers in
-
- Music and Audio Processing 25
- Speech and Audio Processing 23
-
- Speech Recognition and Synthesis 17
- Sentiment Analysis and Opinion Mining 2
- Co-authors
- Adam Finkelstein (16 shared papers)Jiaqi Su (11 shared papers)Gautham J. Mysore (6 shared papers)Jingwan Lu (3 shared papers)Mark Hasegawa‐Johnson (1 shared paper)Kaizhi Qian (1 shared paper)Nicholas J. Bryan (3 shared papers)Stephen DiVerdi (2 shared papers)
- Journals
- Chinese Chemical Letters (2 papers)Materials Science and Engineering R Reports (1 paper)Journal of Neuroscience (1 paper)Multiscale Modeling and Simulation (1 paper)ACM Transactions on Graphics (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Zeyu Jin
38 papers receiving 464 citations
Peers
Comparison fields: 5 of 50
- Signal Processing 378
- Artificial Intelligence 253
- Computer Vision and Pattern Recognition 133
- Cognitive Neuroscience 74
- Human-Computer Interaction 15
Countries citing papers authored by Zeyu Jin
This map shows the geographic impact of Zeyu Jin'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 Zeyu Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zeyu Jin more than expected).
Fields of papers citing papers by Zeyu Jin
This network shows the impact of papers produced by Zeyu Jin. 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 Zeyu Jin. The network helps show where Zeyu Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Zeyu Jin, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 81 | |
| 2 | 2018 | 54 | |
| 3 | 2020 | 51 | |
| 4 | 2021 | 35 | |
| 5 | 2020 | 33 | |
| 6 | 2021 | 29 | |
| 7 | 2017 | 29 | |
| 8 | 2016 | 20 | |
| 9 | 2020 | 20 | |
| 10 | 2020 | 19 | |
| 11 | 2020 | 17 | |
| 12 | 2019 | 13 | |
| 13 | 2019 | 10 | |
| 14 | 2014 | 9 | |
| 15 | 2022 | 7 | |
| 16 | 2024 | 7 | |
| 17 | 2024 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2025 | 5 | |
| 20 | 2022 | 5 |
About Zeyu Jin
Zeyu Jin is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment, having authored 41 papers that have together received 493 indexed citations. Recurring topics across this work include Music and Audio Processing (25 papers), Speech and Audio Processing (23 papers), Speech Recognition and Synthesis (17 papers), Music Technology and Sound Studies (5 papers), Fuel Cells and Related Materials (5 papers), Electrocatalysts for Energy Conversion (5 papers), Hearing Loss and Rehabilitation (3 papers) and Sentiment Analysis and Opinion Mining (2 papers). The work is most often cited by research in Signal Processing (378 citations), Artificial Intelligence (253 citations), Computer Vision and Pattern Recognition (133 citations), Cognitive Neuroscience (74 citations) and Human-Computer Interaction (15 citations). Zeyu Jin has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Adam Finkelstein, Jiaqi Su, Gautham J. Mysore, Jingwan Lu, Mark Hasegawa‐Johnson, Kaizhi Qian, Nicholas J. Bryan, Stephen DiVerdi, Emma Frid and Richard Zhang. Their work appears in journals such as Chinese Chemical Letters, Materials Science and Engineering R Reports, Journal of Neuroscience, Multiscale Modeling and Simulation and ACM Transactions on Graphics.
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.