Gus Xia
Impact in
- Signal Processing top 10%
- Music and Audio Processing
- Speech and Audio Processing
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- Music Technology and Sound Studies
- Generative Adversarial Networks and Image Synthesis
Papers in
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- Music Technology and Sound Studies 15
- Generative Adversarial Networks and Image Synthesis 4
- Data Visualization and Analytics 2
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- Music and Audio Processing 16
- Speech and Audio Processing 2
- Co-authors
- Chris Anderson (1 shared paper)Weilin Zhang (1 shared paper)Shlomo Dubnov (1 shared paper)Ke Chen (1 shared paper)Wei Li (1 shared paper)Jeba Rezwana (2 shared papers)Helen Kennedy (2 shared papers)Qiong Wu (2 shared papers)
- Journals
- ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2 papers)Zenodo (CERN European Organization for Nuclear Research) (4 papers)arXiv (Cornell University) (3 papers)Creativity and Cognition (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Gus Xia
20 papers receiving 138 citations
Peers
Comparison fields: 5 of 37
- Signal Processing 96
- Computer Vision and Pattern Recognition 102
- Cognitive Neuroscience 53
- Health Informatics 3
- Music 4
Countries citing papers authored by Gus Xia
This map shows the geographic impact of Gus Xia'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 Gus Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gus Xia more than expected).
Fields of papers citing papers by Gus Xia
This network shows the impact of papers produced by Gus Xia. 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 Gus Xia. The network helps show where Gus Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Gus Xia, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 60 | |
| 2 | 2019 | 18 | |
| 3 | 2023 | 14 | |
| 4 | 2019 | 7 | |
| 5 | 2021 | 6 | |
| 6 | 2021 | 6 | |
| 7 | 2019 | 4 | |
| 8 | 2020 | 4 | |
| 9 | 2024 | 3 | |
| 10 | 2020 | 3 | |
| 11 | 2022 | 3 | |
| 12 | 2021 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2020 | 2 | |
| 15 | 2019 | 2 | |
| 16 | 2019 | 2 | |
| 17 | 2023 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2025 | 1 |
About Gus Xia
Gus Xia is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Cognitive Neuroscience, Artificial Intelligence and Mechanical Engineering, having authored 23 papers that have together received 142 indexed citations. Recurring topics across this work include Music and Audio Processing (16 papers), Music Technology and Sound Studies (15 papers), Neuroscience and Music Perception (5 papers), Generative Adversarial Networks and Image Synthesis (4 papers), Speech and Audio Processing (2 papers), Speech Recognition and Synthesis (2 papers), Teleoperation and Haptic Systems (2 papers) and Data Visualization and Analytics (2 papers). The work is most often cited by research in Signal Processing (96 citations), Computer Vision and Pattern Recognition (102 citations), Cognitive Neuroscience (53 citations), Health Informatics (3 citations) and Music (4 citations). Gus Xia has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chris Anderson, Weilin Zhang, Shlomo Dubnov, Ke Chen, Wei Li, Jeba Rezwana, Helen Kennedy, Qiong Wu, Ke Chen and Steve Benford. Their work appears in journals such as ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Zenodo (CERN European Organization for Nuclear Research), arXiv (Cornell University) and Creativity and Cognition.
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.