Gus Xia

649 total citations
23 papers, 142 citations indexed

About

Gus Xia is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Cognitive Neuroscience. According to data from OpenAlex, Gus Xia has authored 23 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 16 papers in Signal Processing and 8 papers in Cognitive Neuroscience. Recurrent topics in Gus Xia's work include Music and Audio Processing (16 papers), Music Technology and Sound Studies (15 papers) and Neuroscience and Music Perception (5 papers). Gus Xia is often cited by papers focused on Music and Audio Processing (16 papers), Music Technology and Sound Studies (15 papers) and Neuroscience and Music Perception (5 papers). Gus Xia collaborates with scholars based in China, United States and United Kingdom. Gus Xia's co-authors include Chris Anderson, Weilin Zhang, Shlomo Dubnov, Ke Chen, Steve Benford, Jeba Rezwana, Helen Kennedy, M. Lévy, Nick Bryan–Kinns and Simon Dixon and has published in prestigious journals such as arXiv (Cornell University), ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) and Creativity and Cognition.

In The Last Decade

Gus Xia

20 papers receiving 138 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gus Xia China 6 102 96 53 27 9 23 142
Gaëtan Hadjeres France 3 126 1.2× 119 1.2× 74 1.4× 23 0.9× 4 0.4× 6 173
Monica Dinculescu United States 5 123 1.2× 112 1.2× 64 1.2× 47 1.7× 2 0.2× 8 188
Chris Donahue United States 7 85 0.8× 88 0.9× 22 0.4× 57 2.1× 6 0.7× 13 176
Nils Peters Canada 8 133 1.3× 134 1.4× 89 1.7× 20 0.7× 13 1.4× 43 234
Filip Korzeniowski Austria 6 157 1.5× 163 1.7× 51 1.0× 19 0.7× 5 0.6× 12 192
Honglie Chen United Kingdom 4 183 1.8× 273 2.8× 47 0.9× 85 3.1× 15 1.7× 9 370
Diemo Schwarz France 8 172 1.7× 172 1.8× 88 1.7× 33 1.2× 15 1.7× 25 242
Yipin Zhou United States 4 109 1.1× 92 1.0× 29 0.5× 28 1.0× 8 0.9× 6 150
Olivier Gillet France 9 155 1.5× 208 2.2× 24 0.5× 34 1.3× 4 0.4× 11 236

Countries citing papers authored by Gus Xia

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Gus Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Gus Xia. A scholar is included among the top collaborators of Gus Xia 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 Gus Xia. Gus Xia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Guo, Zhancheng, Junyan Jiang, Gus Xia, et al.. (2025). CLaMP 3: Universal Music Information Retrieval Across Unaligned Modalities and Unseen Languages. 2605–2625. 1 indexed citations
2.
Bryan–Kinns, Nick, Helen Kennedy, Alan Chamberlain, et al.. (2024). Explainable AI for the Arts 2 (XAIxArts2). Creativity and Cognition. 86–92. 3 indexed citations
3.
4.
Bryan–Kinns, Nick, Alan Chamberlain, Steve Benford, et al.. (2023). Explainable AI for the Arts: XAIxArts. Creativity and Cognition. 1–7. 14 indexed citations
5.
Zhao, J. Y., Gus Xia, & Ye Wang. (2023). Q&A: Query-Based Representation Learning for Multi-Track Symbolic Music re-Arrangement. 5878–5886. 1 indexed citations
6.
Gao, Weiguo, et al.. (2023). Controllable Music Inpainting with Mixed-Level and Disentangled Representation. 1–5. 1 indexed citations
7.
Xia, Gus, et al.. (2022). Sensing the Breath: A Multimodal Singing Tutoring Interface with Breath Guidance. arXiv (Cornell University).
8.
Wang, Ziyu, et al.. (2022). Audio-To-Symbolic Arrangement Via Cross-Modal Music Representation Learning. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 181–185. 2 indexed citations
9.
10.
Xia, Gus, et al.. (2021). A Wearable Haptic Interface for Breath Guidance in Vocal Training. 6 indexed citations
11.
Xia, Gus, et al.. (2021). COSMIC: A Conversational Interface for Human-AI Music Co-Creation. 6 indexed citations
12.
13.
14.
Wang, Ziyu, et al.. (2020). POP909: A pop-song dataset for music arrangement generation. Zenodo (CERN European Organization for Nuclear Research). 38–45. 3 indexed citations
15.
Wang, Ziyu, et al.. (2020). PianoTree VAE: Structured representation learning for polyphonic music. Zenodo (CERN European Organization for Nuclear Research). 368–375. 2 indexed citations
16.
Chen, Ke, et al.. (2019). Large-vocabulary Chord Transcription Via Chord Structure Decomposition. Zenodo (CERN European Organization for Nuclear Research). 644–651. 7 indexed citations
17.
18.
Yang, Ruihan, et al.. (2019). Deep Music Analogy Via Latent Representation Disentanglement. arXiv (Cornell University). 596–603. 4 indexed citations
19.
Xia, Gus, et al.. (2019). Transferring Piano Performance Control across Environments. 221–225. 2 indexed citations
20.
Zhang, Yian, et al.. (2019). Adaptive Multimodal Music Learning via Interactive Haptic Instrument. arXiv (Cornell University). 140–145. 2 indexed citations

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.

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2026