Jinjin Ye
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Time Series Analysis and Forecasting
- Blind Source Separation Techniques
- Music and Audio Processing
Papers in
-
- Blind Source Separation Techniques 4
- Speech and Audio Processing 3
- Time Series Analysis and Forecasting 2
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- Neural Networks and Applications 3
- Speech Recognition and Synthesis 2
- Co-authors
- Michael T. Johnson (6 shared papers)Richard J. Povinelli (6 shared papers)A.C. Lindgren (3 shared papers)Xiaolin Liu (1 shared paper)Chenchen Feng (1 shared paper)Xuefeng Gao (1 shared paper)Zhongyue Zhang (1 shared paper)Yu Qu (1 shared paper)
- Journals
- IEEE Transactions on Speech and Audio Processing (1 paper)Sensors (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)IEEE Transactions on Signal Processing (1 paper)Macromolecular Rapid Communications (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Jinjin Ye
11 papers receiving 294 citations
Peers
Comparison fields: 5 of 75
- Signal Processing 146
- Surfaces, Coatings and Films 37
- Artificial Intelligence 134
- Statistical and Nonlinear Physics 36
- Cognitive Neuroscience 32
Countries citing papers authored by Jinjin Ye
This map shows the geographic impact of Jinjin 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 Jinjin Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinjin Ye more than expected).
Fields of papers citing papers by Jinjin Ye
This network shows the impact of papers produced by Jinjin 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 Jinjin Ye. The network helps show where Jinjin Ye may publish in the future.
Co-authors
The 20 scholars most cited alongside Jinjin 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 | 2004 | 138 | |
| 2 | 2006 | 60 | |
| 3 | 2018 | 47 | |
| 4 | 2005 | 40 | |
| 5 | 2005 | 15 | |
| 6 | Phoneme classification over the reconstructed phase space using principal component analysis. | 2003 | 5 |
| 7 | Speech Recognition Using Time Domain Features from Phase Space Reconstructions | 2004 | 4 |
| 8 | 2022 | 3 | |
| 9 | Study of Attractor Variation in the Reconstructed Phase Space of Speech Signals | 2003 | 3 |
| 10 | 2022 | 2 | |
| 11 | 2018 | 2 |
About Jinjin Ye
Jinjin Ye is a scholar working on Signal Processing, Artificial Intelligence, Statistical and Nonlinear Physics, Computer Networks and Communications and Molecular Biology, having authored 11 papers that have together received 319 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (4 papers), Chaos control and synchronization (4 papers), Speech and Audio Processing (3 papers), Neural Networks and Applications (3 papers), Speech Recognition and Synthesis (2 papers), Time Series Analysis and Forecasting (2 papers), Nonlinear Dynamics and Pattern Formation (1 paper) and Image Enhancement Techniques (1 paper). The work is most often cited by research in Signal Processing (146 citations), Surfaces, Coatings and Films (37 citations), Artificial Intelligence (134 citations), Statistical and Nonlinear Physics (36 citations) and Cognitive Neuroscience (32 citations). Jinjin Ye has collaborated with scholars based in United States and China. Frequent co-authors include Michael T. Johnson, Richard J. Povinelli, A.C. Lindgren, Xiaolin Liu, Chenchen Feng, Xuefeng Gao, Zhongyue Zhang, Yu Qu, Zhiying Zhang and Runguang Sun. Their work appears in journals such as IEEE Transactions on Speech and Audio Processing, Sensors, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Signal Processing and Macromolecular Rapid 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.