Bunlong Lay
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
- Blind Source Separation Techniques
- Artificial Intelligence top 10%
- Speech Recognition and Synthesis
- Wireless Signal Modulation Classification
Papers in
-
- Speech and Audio Processing 8
- Music and Audio Processing 4
-
- Speech Recognition and Synthesis 3
- Wireless Signal Modulation Classification 1
- Co-authors
- Timo Gerkmann (8 shared papers)Julius Richter (6 shared papers)Simon Welker (6 shared papers)Jean-Marie Lemercier (3 shared papers)Alexander Charlish (1 shared paper)Shinji Watanabe (1 shared paper)Alexander Richard (1 shared paper)Nale Lehmann‐Willenbrock (1 shared paper)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (1 paper)IEEE Open Journal of Signal Processing (1 paper)Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (1 paper)
- Partner nations
- Germany
In The Last Decade
Bunlong Lay
8 papers receiving 191 citations
Bunlong Lay's Hit Papers
Peers
Comparison fields: 5 of 27
- Signal Processing 157
- Artificial Intelligence 119
- Pharmacy 8
- Computational Mechanics 29
- Computer Vision and Pattern Recognition 20
Countries citing papers authored by Bunlong Lay
This map shows the geographic impact of Bunlong Lay'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 Bunlong Lay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bunlong Lay more than expected).
Fields of papers citing papers by Bunlong Lay
This network shows the impact of papers produced by Bunlong Lay. 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 Bunlong Lay. The network helps show where Bunlong Lay may publish in the future.
Co-authors
The 8 scholars most cited alongside Bunlong Lay, 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 | Speech Enhancement and Dereverberation With Diffusion-Based Generative Models Hit paper breakdown → | 2023 | 137 |
| 2 | 2024 | 19 | |
| 3 | 2023 | 16 | |
| 4 | 2020 | 14 | |
| 5 | 2024 | 10 | |
| 6 | 2024 | 7 | |
| 7 | 2023 | 4 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 1 |
About Bunlong Lay
Bunlong Lay is a scholar working on Signal Processing, Artificial Intelligence, Pharmacy, Ocean Engineering and Computational Mechanics, having authored 9 papers that have together received 210 indexed citations. Recurring topics across this work include Speech and Audio Processing (8 papers), Music and Audio Processing (4 papers), Speech Recognition and Synthesis (3 papers), Infant Health and Development (2 papers), Wireless Signal Modulation Classification (1 paper), Geophysical Methods and Applications (1 paper), Advanced SAR Imaging Techniques (1 paper) and Emotion and Mood Recognition (1 paper). The work is most often cited by research in Signal Processing (157 citations), Artificial Intelligence (119 citations), Pharmacy (8 citations), Computational Mechanics (29 citations) and Computer Vision and Pattern Recognition (20 citations). Bunlong Lay has collaborated with scholars based in Germany. Frequent co-authors include Timo Gerkmann, Julius Richter, Simon Welker, Jean-Marie Lemercier, Alexander Charlish, Shinji Watanabe, Alexander Richard and Nale Lehmann‐Willenbrock. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Open Journal of Signal Processing and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).
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.