Deshun Yang

493 total citations
29 papers, 231 citations indexed

About

Deshun Yang is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Deshun Yang has authored 29 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Signal Processing, 21 papers in Computer Vision and Pattern Recognition and 8 papers in Artificial Intelligence. Recurrent topics in Deshun Yang's work include Music and Audio Processing (26 papers), Speech and Audio Processing (21 papers) and Music Technology and Sound Studies (17 papers). Deshun Yang is often cited by papers focused on Music and Audio Processing (26 papers), Speech and Audio Processing (21 papers) and Music Technology and Sound Studies (17 papers). Deshun Yang collaborates with scholars based in China, Myanmar and Czechia. Deshun Yang's co-authors include Xiaoou Chen, Yuqian Wu, Xing Wang, Jun Wang, Xiaobing Liu, Liqun Peng, Feng Guo, Xavier Anguera, Yi Lin and Kang Cai and has published in prestigious journals such as Rare & Special e-Zone (The Hong Kong University of Science and Technology), Proceedings of the AAAI Conference on Artificial Intelligence and Zenodo (CERN European Organization for Nuclear Research).

In The Last Decade

Deshun Yang

27 papers receiving 211 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deshun Yang China 9 196 130 60 54 33 29 231
Estefanía Cano Germany 10 264 1.3× 132 1.0× 50 0.8× 85 1.6× 31 0.9× 34 318
José R. Zapata Spain 8 373 1.9× 282 2.2× 46 0.8× 110 2.0× 34 1.0× 12 409
Alastair Porter Spain 9 253 1.3× 160 1.2× 59 1.0× 52 1.0× 55 1.7× 20 280
Prem Seetharaman United States 10 213 1.1× 120 0.9× 97 1.6× 35 0.6× 8 0.2× 24 299
Jonathan Driedger Germany 8 218 1.1× 119 0.9× 45 0.8× 49 0.9× 10 0.3× 21 264
Christopher Harte United Kingdom 6 363 1.9× 289 2.2× 60 1.0× 119 2.2× 39 1.2× 15 407
Ho-Hsiang Wu United States 6 268 1.4× 135 1.0× 120 2.0× 37 0.7× 19 0.6× 14 362
Giorgio Zoia Switzerland 5 261 1.3× 209 1.6× 37 0.6× 51 0.9× 25 0.8× 22 290
Ajay Srinivasamurthy Spain 10 212 1.1× 132 1.0× 98 1.6× 68 1.3× 22 0.7× 26 274
Craig Stuart Sapp United States 8 265 1.4× 241 1.9× 22 0.4× 135 2.5× 26 0.8× 22 317

Countries citing papers authored by Deshun Yang

Since Specialization
Citations

This map shows the geographic impact of Deshun 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 Deshun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deshun Yang more than expected).

Fields of papers citing papers by Deshun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deshun 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 Deshun Yang. The network helps show where Deshun Yang may publish in the future.

Co-authorship network of co-authors of Deshun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Deshun Yang. A scholar is included among the top collaborators of Deshun 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 Deshun Yang. Deshun 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
3.
Chen, Xiaoou, et al.. (2019). Temporal Pyramid Pooling Convolutional Neural Network for Cover Song Identification. 4846–4852. 20 indexed citations
4.
Chen, Xiaoou, et al.. (2018). Robust Polyphonic Sound Event Detection by Using Multi Frame Size Denoising Autoencoder. 1–6. 1 indexed citations
5.
Chen, Xiaoou, et al.. (2018). Key-Invariant Convolutional Neural Network Toward Efficient Cover Song Identification. 1–6. 18 indexed citations
6.
Chen, Xiaoou, et al.. (2018). Effective Cover Song Identification Based on Skipping Bigrams. 96–100. 2 indexed citations
7.
Qi, Xiaoyu, Deshun Yang, & Xiaoou Chen. (2017). Audio Feature Learning with Triplet-Based Embedding Network. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 4 indexed citations
8.
Cheng, Yao, et al.. (2017). Effective Music Feature NCP. 925–928. 5 indexed citations
9.
Peng, Liqun, et al.. (2016). Robust sound event classification by using denoising autoencoder. 1–6. 4 indexed citations
10.
Guo, Feng, Deshun Yang, & Xiaoou Chen. (2015). Using Deep Belief Network to Capture Temporal Information for Audio Event Classification. 421–424. 5 indexed citations
11.
Yang, Deshun, et al.. (2015). PKU-AIPL' Solution for MediaEval 2015 Emotion in Music Task. 3 indexed citations
12.
Wu, Bin, et al.. (2014). Beatsens' solution for MediaEval 2014 emotion in music task. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3 indexed citations
13.
Peng, Liqun, Deshun Yang, & Xiaoou Chen. (2014). Multi frame size feature extraction for acoustic event detection. 1–4. 2 indexed citations
14.
Chen, Xiaoou, et al.. (2014). Efficient music identification by utilizing space-saving audio fingerprinting system. 99. 1–6. 9 indexed citations
15.
Lin, Yi, Xiaoou Chen, & Deshun Yang. (2013). Exploration Of Music Emotion Recognition Based On Midi.. Zenodo (CERN European Organization for Nuclear Research). 221–226. 5 indexed citations
16.
Yang, Deshun, et al.. (2010). Multi-Modal Music Mood Classification Using Co-Training. 1–4. 5 indexed citations
17.
Chen, Xiaoou, et al.. (2010). Boosting For Multi-Modal Music Emotion Classification.. Zenodo (CERN European Organization for Nuclear Research). 9 indexed citations
18.
Chen, Xiaoou, et al.. (2009). Lyric-Based Song Emotion Detection With Affective Lexicon And Fuzzy Clustering Method.. Zenodo (CERN European Organization for Nuclear Research). 67 indexed citations
19.
Chen, Xiaoou, et al.. (2008). Chinese folk musical instruments recognition in polyphonic music. 1145–1152. 2 indexed citations
20.
Liu, Xiaobing, Deshun Yang, & Xiaoou Chen. (2008). New approach to classification of Chinese folk music based on extension of HMM. 1172–1179. 8 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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