Jinjin Ye
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Surfaces, Coatings and Films
- Statistical and Nonlinear Physics
- Cognitive Neuroscience
- Co-authors
- Michael T. JohnsonRichard J. PovinelliA.C. LindgrenXiaolin LiuChenchen FengJuan LiYingjun MaYu Qu
- Topics
- Chaos control and synchronization (4 papers)Blind Source Separation Techniques (4 papers)Neural Networks and Applications (3 papers)
- Journals
- IEEE Transactions on Signal ProcessingSensorsIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- United StatesChina
In The Last Decade
Jinjin Ye
10 papers receiving 274 citations
Peers
Comparison fields: 5 of 71
- Signal Processing 139
- Artificial Intelligence 125
- Surfaces, Coatings and Films 36
- Statistical and Nonlinear Physics 33
- Cognitive Neuroscience 30
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-authorship network of co-authors of Jinjin Ye
This figure shows the co-authorship network connecting the top 25 collaborators of Jinjin Ye. A scholar is included among the top collaborators of Jinjin Ye based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jinjin Ye. Jinjin Ye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 46 | |
| 4 | 56 | |
| 5 | 15 | |
| 6 | 37 | |
| 7 | Speech Recognition Using Time Domain Features from Phase Space Reconstructions | 4 |
| 8 | 130 | |
| 9 | Study of Attractor Variation in the Reconstructed Phase Space of Speech Signals | 3 |
| 10 | Phoneme classification over the reconstructed phase space using principal component analysis. | 5 |
About Jinjin Ye
Jinjin Ye is a scholar working on Signal Processing, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 10 papers that have together received 300 indexed citations. Recurring topics across this work include Chaos control and synchronization (4 papers), Blind Source Separation Techniques (4 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Signal Processing (139 citations), Surfaces, Coatings and Films (36 citations) and Artificial Intelligence (125 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, Juan Li, Yingjun Ma, Yu Qu, Zhongyue Zhang and Zhiying Zhang. Their work appears in journals such as IEEE Transactions on Signal Processing, Sensors and IEEE Transactions on Knowledge and Data Engineering.
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.