Jitong Chen
- Signal Processing top 0.2%
- Speech and Audio Processing 16
- Music and Audio Processing 14
- Blind Source Separation Techniques 2
- Computational Mechanics top 1%
- Artificial Intelligence top 1%
- Speech Recognition and Synthesis 8
- Cognitive Neuroscience top 5%
- Hearing Loss and Rehabilitation 5
- Neuroscience and Music Perception 2
- Pharmacy top 5%
-
- Music Technology and Sound Studies 4
-
- Structural Health Monitoring Techniques 1
Jitong Chen
20 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Signal Processing 1.7k
- Computational Mechanics 649
- Artificial Intelligence 924
- Cognitive Neuroscience 506
- Pharmacy 50
Countries citing papers authored by Jitong Chen
This map shows the geographic impact of Jitong Chen'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 Jitong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jitong Chen more than expected).
Fields of papers citing papers by Jitong Chen
This network shows the impact of papers produced by Jitong Chen. 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 Jitong Chen. The network helps show where Jitong Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jitong Chen, 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 | 2025 | 0 | |
| 2 | 2024 | 8 | |
| 3 | 2022 | 20 | |
| 4 | 2022 | 10 | |
| 5 | 2021 | 40 | |
| 6 | 2021 | 6 | |
| 7 | Supervised Speech Separation Based on Deep Learning: An Overviewbreakdown → | 2018 | 984 |
| 8 | 2018 | 143 | |
| 9 | Neural Voice Cloning with a Few Samples | 2018 | 53 |
| 10 | 2018 | 38 | |
| 11 | 2017 | 177 | |
| 12 | 2016 | 141 | |
| 13 | 2016 | 28 | |
| 14 | 2016 | 22 | |
| 15 | 2015 | 72 | |
| 16 | Deep Neural Network Based Supervised Speech Segregation Generalizes to Novel Noises through Large-scale Training | 2015 | 12 |
| 17 | 2014 | 20 | |
| 18 | 2014 | 127 | |
| 19 | 2012 | 38 | |
| 20 | 2011 | 1 |
About Jitong Chen
Jitong Chen is a scholar working on Signal Processing, Cognitive Neuroscience and Artificial Intelligence, having authored 21 papers that have together received 1.9k indexed citations. Recurring topics across this work include Speech and Audio Processing (16 papers), Music and Audio Processing (14 papers), Speech Recognition and Synthesis (8 papers), Hearing Loss and Rehabilitation (5 papers), Music Technology and Sound Studies (4 papers), Neuroscience and Music Perception (2 papers), Blind Source Separation Techniques (2 papers) and Structural Health Monitoring Techniques (1 paper). The work is most often cited by research in Signal Processing (1.7k citations), Computational Mechanics (649 citations) and Artificial Intelligence (924 citations). Jitong Chen has collaborated with scholars based in United States, China and Egypt. Frequent co-authors include DeLiang Wang, Ke Tan, Yuxuan Wang, Eric W. Healy, Sarah E. Yoho, Yuxuan Wang, Yuxuan Wang, Yuxuan Wang, Yanqi Zhou and Wei Ping. Their work appears in journals such as The Journal of the Acoustical Society of America, IEEE/ACM Transactions on Audio Speech and Language Processing, Speech Communication, Chemical Engineering Science and SHILAP Revista de lepidopterología.
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.