Yi‐Hsuan Yang

7.3k total citations
173 papers, 3.7k citations indexed

About

Yi‐Hsuan Yang is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Yi‐Hsuan Yang has authored 173 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Signal Processing, 114 papers in Computer Vision and Pattern Recognition and 42 papers in Cognitive Neuroscience. Recurrent topics in Yi‐Hsuan Yang's work include Music and Audio Processing (145 papers), Music Technology and Sound Studies (90 papers) and Speech and Audio Processing (79 papers). Yi‐Hsuan Yang is often cited by papers focused on Music and Audio Processing (145 papers), Music Technology and Sound Studies (90 papers) and Speech and Audio Processing (79 papers). Yi‐Hsuan Yang collaborates with scholars based in Taiwan, United States and Germany. Yi‐Hsuan Yang's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and IEEE Transactions on Signal Processing.

In The Last Decade

Yi‐Hsuan Yang

166 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi‐Hsuan Yang Taiwan 32 2.8k 1.9k 1.2k 783 490 173 3.7k
Perry R. Cook United States 31 2.1k 0.8× 2.4k 1.2× 1.3k 1.1× 391 0.5× 196 0.4× 147 3.4k
Masataka Goto Japan 37 4.7k 1.7× 3.5k 1.8× 811 0.7× 1.4k 1.7× 140 0.3× 298 5.6k
Xavier Serra Spain 32 3.5k 1.3× 2.5k 1.3× 946 0.8× 813 1.0× 93 0.2× 235 4.2k
George Tzanetakis Canada 25 3.7k 1.3× 3.1k 1.6× 860 0.7× 576 0.7× 89 0.2× 150 4.4k
Perfecto Herrera Spain 26 2.2k 0.8× 1.8k 0.9× 725 0.6× 494 0.6× 147 0.3× 142 2.8k
Simon Dixon United Kingdom 31 3.2k 1.2× 2.7k 1.4× 1.0k 0.9× 420 0.5× 93 0.2× 166 3.6k
Lie Lu China 23 2.3k 0.8× 2.2k 1.1× 376 0.3× 620 0.8× 134 0.3× 76 3.2k
Fabien Gouyon Portugal 24 1.6k 0.6× 1.4k 0.7× 697 0.6× 246 0.3× 96 0.2× 85 2.1k
Dawen Liang United States 11 1.5k 0.6× 965 0.5× 275 0.2× 1.4k 1.8× 297 0.6× 27 3.3k
Roger B. Dannenberg United States 25 1.6k 0.6× 1.6k 0.8× 567 0.5× 394 0.5× 48 0.1× 165 2.4k

Countries citing papers authored by Yi‐Hsuan Yang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
2.
Huang, Yung‐Cheng, Liyu Chen, Yi‐Hsuan Yang, et al.. (2024). Low Urbanization but Not Illiteracy was Associated with Poor Medication Adherence among Elderly People in Rural Taiwan. International Journal of Clinical Practice. 2024(1). 1 indexed citations
3.
Wang, Chen‐Yu, Cheng‐Ying Hsieh, Yung‐Cheng Huang, et al.. (2021). A proactive remote pharmaceutical care for rural elderly population: The Houston‐Apollo polypharmacy project. International Journal of Clinical Practice. 75(10). e14505–e14505. 1 indexed citations
4.
Yang, Yi‐Hsuan, et al.. (2020). Pop Music Transformer: Generating Music with Rhythm and Harmony. arXiv (Cornell University). 6 indexed citations
5.
Yang, Yi‐Hsuan, et al.. (2019). Improving Automatic Jazz Melody Generation by Transfer Learning Techniques. 339–346. 9 indexed citations
6.
Chen, Yuhua, et al.. (2019). MediaEval 2019 Emotion and Theme Recognition task: A VQ-VAE Based Approach.. MediaEval. 3 indexed citations
7.
Chen, Boyu, et al.. (2019). Recognizing Song Mood and Theme Using Convolutional Recurrent Neural Networks.. MediaEval.
8.
Chan, Tak-Shing, et al.. (2019). Backpropagation With N-D Vector-Valued Neurons Using Arbitrary Bilinear Products. IEEE Transactions on Neural Networks and Learning Systems. 31(7). 1–15. 7 indexed citations
9.
Yang, Yi‐Hsuan, et al.. (2018). Lead Sheet Generation and Arrangement by Conditional Generative Adversarial Network. 722–727. 21 indexed citations
10.
Yang, Li-Chia, Szu-Yu Chou, & Yi‐Hsuan Yang. (2017). MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation using 1D and 2D Conditions.. arXiv (Cornell University). 13 indexed citations
11.
Dong, Hao‐Wen, Wen-Yi Hsiao, Li-Chia Yang, & Yi‐Hsuan Yang. (2017). MuseGAN: Symbolic-domain Music Generation and Accompaniment with Multi-track Sequential Generative Adversarial Networks. arXiv (Cornell University). 14 indexed citations
12.
Aljanaki, Anna, Yi‐Hsuan Yang, & Mohammad Soleymani. (2016). Emotion in Music task: Lessons Learned.. MediaEval. 3 indexed citations
13.
Chou, Szu-Yu, et al.. (2016). Addressing Cold Start for Next-song Recommendation. 115–118. 30 indexed citations
14.
Hu, Xiao & Yi‐Hsuan Yang. (2014). Cross-cultural mood regression for music digital libraries. The HKU Scholars Hub (University of Hong Kong). 471–472. 1 indexed citations
15.
Aljanaki, Anna, Yi‐Hsuan Yang, & Mohammad Soleymani. (2014). Emotion in Music Task at MediaEval 2014. MediaEval. 20 indexed citations
16.
Su, Li, Chin‐Chia Michael Yeh, Jen-Yu Liu, Ju-Chiang Wang, & Yi‐Hsuan Yang. (2014). A Systematic Evaluation of the Bag-of-Frames Representation for Music Information Retrieval. IEEE Transactions on Multimedia. 16(5). 1188–1200. 34 indexed citations
17.
Soleymani, Mohammad, et al.. (2013). The MediaEval 2013 Brave New Task: Emotion in Music.. MediaEval. 10 indexed citations
18.
Wang, Ju-Chiang, Yi‐Hsuan Yang, Hsin‐Min Wang, & Shyh‐Kang Jeng. (2012). Personalized music emotion recognition via model adaptation. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 1–7. 13 indexed citations
19.
Weng, Ming-Fang, et al.. (2007). The NTU Toolkit and Framework for High-Level Feature Detection at TRECVID 2007 ?. TRECVID. 1 indexed citations
20.
Yang, Yi‐Hsuan, et al.. (2007). Music Emotion Recognition. CERN Document Server (European Organization for Nuclear Research). 13–22. 71 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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