Weiwei Lin
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 10%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
Papers in
-
- Speech Recognition and Synthesis 17
- Natural Language Processing Techniques 4
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- Speech and Audio Processing 17
- Music and Audio Processing 11
- Time Series Analysis and Forecasting 1
- Co-authors
- Man‐Wai Mak (17 shared papers)Jen‐Tzung Chien (7 shared papers)Dan Su (2 shared papers)Dong Yu (2 shared papers)Na Li (2 shared papers)Longxin Li (1 shared paper)Wentai Wu (2 shared papers)Keqin Li (2 shared papers)
In The Last Decade
Weiwei Lin
23 papers receiving 204 citations
Peers
Comparison fields: 5 of 39
- Signal Processing 159
- Artificial Intelligence 181
- Computer Vision and Pattern Recognition 16
- Experimental and Cognitive Psychology 9
- Pharmacy 3
Countries citing papers authored by Weiwei Lin
This map shows the geographic impact of Weiwei Lin'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 Weiwei Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiwei Lin more than expected).
Fields of papers citing papers by Weiwei Lin
This network shows the impact of papers produced by Weiwei Lin. 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 Weiwei Lin. The network helps show where Weiwei Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiwei Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 43 | |
| 2 | 2020 | 26 | |
| 3 | 2018 | 21 | |
| 4 | 2020 | 19 | |
| 5 | 2020 | 13 | |
| 6 | 2020 | 12 | |
| 7 | 2022 | 9 | |
| 8 | 2022 | 9 | |
| 9 | 2025 | 7 | |
| 10 | 2017 | 7 | |
| 11 | 2022 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2017 | 5 | |
| 15 | 2019 | 4 | |
| 16 | 2025 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2016 | 3 | |
| 19 | 2020 | 2 | |
| 20 | 2021 | 1 |
About Weiwei Lin
Weiwei Lin is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems, having authored 27 papers that have together received 209 indexed citations. Recurring topics across this work include Speech and Audio Processing (17 papers), Speech Recognition and Synthesis (17 papers), Music and Audio Processing (11 papers), Natural Language Processing Techniques (4 papers), Cloud Computing and Resource Management (3 papers), Advanced Algorithms and Applications (2 papers), IoT and Edge/Fog Computing (2 papers) and Time Series Analysis and Forecasting (1 paper). The work is most often cited by research in Signal Processing (159 citations), Artificial Intelligence (181 citations), Computer Vision and Pattern Recognition (16 citations), Experimental and Cognitive Psychology (9 citations) and Pharmacy (3 citations). Weiwei Lin has collaborated with scholars based in Hong Kong, China and Taiwan. Frequent co-authors include Man‐Wai Mak, Jen‐Tzung Chien, Dan Su, Dong Yu, Na Li, Longxin Li, Wentai Wu, Keqin Li, Na Li and Mian Guo. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Computer Speech & Language, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Parallel and Distributed Systems and Computing.
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.