Yi Luo
Impact in
- Signal Processing top 0.1%
- Speech and Audio Processing
- Music and Audio Processing
- Blind Source Separation Techniques
- Artificial Intelligence top 0.5%
- Speech Recognition and Synthesis
Papers in
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- Speech and Audio Processing 37
- Music and Audio Processing 30
- Blind Source Separation Techniques 3
-
- Speech Recognition and Synthesis 25
Yi Luo
64 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Signal Processing 2.4k
- Artificial Intelligence 1.6k
- Computational Mechanics 538
- Cognitive Neuroscience 323
- Computer Vision and Pattern Recognition 156
Countries citing papers authored by Yi Luo
This map shows the geographic impact of Yi Luo'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 Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Luo more than expected).
Fields of papers citing papers by Yi Luo
This network shows the impact of papers produced by Yi Luo. 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 Luo. The network helps show where Yi Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Luo, 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 | 1 | |
| 2 | 2025 | 15 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 1 | |
| 8 | 2021 | 17 | |
| 9 | 2021 | 6 | |
| 10 | 2020 | 113 | |
| 11 | Dual-Path RNN: Efficient Long Sequence Modeling for Time-Domain Single-Channel Speech Separation Hit paper breakdown → | 2020 | 461 |
| 12 | 2020 | 2 | |
| 13 | 2020 | 15 | |
| 14 | Conv-TasNet: Surpassing Ideal Time–Frequency Magnitude Masking for Speech Separation Hit paper breakdown → | 2019 | 1151 |
| 15 | 2019 | 54 | |
| 16 | Dynamic Demand Prediction for Expanding Electric Vehicle Sharing Systems | 2019 | 2 |
| 17 | 2018 | 157 | |
| 18 | TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation. | 2018 | 41 |
| 19 | 2018 | 48 | |
| 20 | 2010 | 1 |
About Yi Luo
Yi Luo is a scholar working on Signal Processing, Artificial Intelligence, Business and International Management, Transportation and Computational Mechanics, having authored 70 papers that have together received 2.7k indexed citations. Recurring topics across this work include Speech and Audio Processing (37 papers), Music and Audio Processing (30 papers), Speech Recognition and Synthesis (25 papers), Advanced Adaptive Filtering Techniques (8 papers), Blind Source Separation Techniques (3 papers), Traffic Prediction and Management Techniques (3 papers), Magnetic properties of thin films (3 papers) and Human Mobility and Location-Based Analysis (3 papers). The work is most often cited by research in Signal Processing (2.4k citations), Artificial Intelligence (1.6k citations), Computational Mechanics (538 citations), Cognitive Neuroscience (323 citations) and Computer Vision and Pattern Recognition (156 citations). Yi Luo has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Nima Mesgarani, Zhuo Chen, Takuya Yoshioka, Cong Han, Zhuo Chen, Jianwei Yu, Jinyu Li, Tianyan Zhou, Jian Wu and Enea Ceolini. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Optics and Lasers in Engineering, Journal of Alloys and Compounds, IEEE Transactions on Big Data and Nanoscale.
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.