Yi‐Hsuan Yang
- Signal Processing top 0.1%
- Computer Vision and Pattern Recognition top 0.5%
- Cognitive Neuroscience top 2%
- Artificial Intelligence top 2%
- Experimental and Cognitive Psychology top 2%
- Topics
- Music and Audio Processing (145 papers)Music Technology and Sound Studies (90 papers)Speech and Audio Processing (79 papers)
- Journals
- SHILAP Revista de lepidopterologíaAdvanced Functional MaterialsIEEE Transactions on Signal Processing
- Partner nations
- TaiwanUnited StatesGermany
In The Last Decade
Yi‐Hsuan Yang
166 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 122
- Signal Processing 2.8k
- Computer Vision and Pattern Recognition 1.9k
- Cognitive Neuroscience 1.2k
- Artificial Intelligence 783
- Experimental and Cognitive Psychology 490
Countries citing papers authored by Yi‐Hsuan Yang
This map shows the geographic impact of Yi‐Hsuan Yang'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‐Hsuan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi‐Hsuan Yang more than expected).
Fields of papers citing papers by Yi‐Hsuan Yang
This network shows the impact of papers produced by Yi‐Hsuan Yang. 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‐Hsuan Yang. The network helps show where Yi‐Hsuan Yang may publish in the future.
Co-authorship network of co-authors of Yi‐Hsuan Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Yi‐Hsuan Yang. A scholar is included among the top collaborators of Yi‐Hsuan Yang 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 Yi‐Hsuan Yang. Yi‐Hsuan Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | Pop Music Transformer: Generating Music with Rhythm and Harmony | 6 |
| 7 | MediaEval 2019 Emotion and Theme Recognition task: A VQ-VAE Based Approach. | 3 |
| 8 | Recognizing Song Mood and Theme Using Convolutional Recurrent Neural Networks. | 0 |
| 9 | 9 | |
| 10 | 21 | |
| 11 | 3 | |
| 12 | MuseGAN: Symbolic-domain Music Generation and Accompaniment with Multi-track Sequential Generative Adversarial Networks | 14 |
| 13 | MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation using 1D and 2D Conditions. | 13 |
| 14 | Emotion in Music task: Lessons Learned. | 3 |
| 15 | Emotion in Music Task at MediaEval 2014 | 20 |
| 16 | 71 | |
| 17 | 1 | |
| 18 | The MediaEval 2013 Brave New Task: Emotion in Music. | 10 |
| 19 | Personalized music emotion recognition via model adaptation | 13 |
| 20 | The NTU Toolkit and Framework for High-Level Feature Detection at TRECVID 2007 ? | 1 |
About Yi‐Hsuan Yang
Yi‐Hsuan Yang is a scholar working on Signal Processing, Computational Mathematics and Computer Vision and Pattern Recognition, having authored 173 papers that have together received 3.7k indexed citations. Recurring topics across this work include Music and Audio Processing (145 papers), Music Technology and Sound Studies (90 papers) and Speech and Audio Processing (79 papers). The work is most often cited by research in Signal Processing (2.8k citations), Computer Vision and Pattern Recognition (1.9k citations) and Cognitive Neuroscience (1.2k citations). Yi‐Hsuan Yang has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Homer H. Chen, Yu‐Ching Lin, Jen-Yu Liu, Ya-Fan Su, Li Su, Wen-Yi Hsiao, Li-Chia Yang, Hao‐Wen Dong, Ju-Chiang Wang and Szu-Yu Chou. Their work appears in journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and IEEE Transactions on Signal Processing.
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.