Li Su

1.5k total citations
77 papers, 818 citations indexed

About

Li Su is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Li Su has authored 77 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Signal Processing, 48 papers in Computer Vision and Pattern Recognition and 20 papers in Cognitive Neuroscience. Recurrent topics in Li Su's work include Music and Audio Processing (59 papers), Music Technology and Sound Studies (44 papers) and Speech and Audio Processing (36 papers). Li Su is often cited by papers focused on Music and Audio Processing (59 papers), Music Technology and Sound Studies (44 papers) and Speech and Audio Processing (36 papers). Li Su collaborates with scholars based in Taiwan, United States and China. Li Su's co-authors include Yi‐Hsuan Yang, Hau‐Tieng Wu, Yu‐Te Wu, Wei Lu, Berlin Chen, Chen-Yun Lin, Tsung‐Han Hsieh, Chin‐Chia Michael Yeh, Jyh‐Shing Roger Jang and Tak-Shing Chan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Multimedia.

In The Last Decade

Li Su

73 papers receiving 774 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li Su Taiwan 16 622 469 126 102 69 77 818
Barış Bozkurt Türkiye 16 669 1.1× 295 0.6× 138 1.1× 393 3.9× 86 1.2× 57 940
Paulo A. A. Esquef Brazil 14 255 0.4× 164 0.3× 220 1.7× 39 0.4× 79 1.1× 36 539
Vinay Kumar Mittal India 15 329 0.5× 78 0.2× 111 0.9× 281 2.8× 11 0.2× 84 702
Martin F. McKinney United States 13 616 1.0× 405 0.9× 292 2.3× 82 0.8× 39 0.6× 34 773
Mark Dolson United States 12 475 0.8× 251 0.5× 267 2.1× 101 1.0× 43 0.6× 19 714
João Felipe Santos Canada 12 427 0.7× 98 0.2× 250 2.0× 278 2.7× 6 0.1× 29 673
Namunu C. Maddage Australia 18 716 1.2× 513 1.1× 115 0.9× 266 2.6× 32 0.5× 38 1.0k
Haruhiro Katayose Japan 13 249 0.4× 243 0.5× 146 1.2× 85 0.8× 22 0.3× 67 448
Gerard Roma United Kingdom 9 597 1.0× 384 0.8× 162 1.3× 148 1.5× 37 0.5× 53 735
Matthew E. P. Davies Portugal 18 810 1.3× 703 1.5× 369 2.9× 78 0.8× 101 1.5× 64 977

Countries citing papers authored by Li Su

Since Specialization
Citations

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

Fields of papers citing papers by Li Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Su

This figure shows the co-authorship network connecting the top 25 collaborators of Li Su. A scholar is included among the top collaborators of Li Su 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 Li Su. Li Su 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.
2.
Liu, Han, Li Su, Jie Shen, et al.. (2024). A deep learning-based method for assessing tricuspid regurgitation using continuous wave Doppler spectra. Scientific Reports. 14(1). 27483–27483. 1 indexed citations
3.
Chen, Si, et al.. (2024). Decoding Silent Speech Cues From Muscular Biopotential Signals for Efficient Human‐Robot Collaborations. Advanced Materials Technologies. 10(4). 1 indexed citations
4.
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Herremans, Dorien, et al.. (2021). ReconVAT: A Semi-Supervised Automatic Music Transcription Framework for Low-Resource Real-World Data. 3918–3926. 14 indexed citations
7.
Hsieh, Tsung‐Han, Li Su, & Yi‐Hsuan Yang. (2019). A Streamlined Encoder/decoder Architecture for Melody Extraction. 156–160. 35 indexed citations
8.
Su, Mei-Ju, et al.. (2019). Establishment of a Music Care System for the Elderly in a Long-term Care Facility. 1–4. 2 indexed citations
9.
Su, Li, et al.. (2018). Learning Domain-Adaptive Latent Representations of Music Signals Using Variational Autoencoders. International Symposium/Conference on Music Information Retrieval. 653–660. 2 indexed citations
10.
Su, Li, et al.. (2018). Deep Learning Models for Melody Perception: An Investigation on Symbolic Music Data. 1620–1625. 4 indexed citations
11.
Su, Li, et al.. (2018). Functional Harmony Recognition of Symbolic Music Data with Multi-task Recurrent Neural Networks. International Symposium/Conference on Music Information Retrieval. 90–97. 20 indexed citations
12.
Lin, Yi, et al.. (2017). Analysis and synthesis of the violin playing style of Heifetz and Oistrakh. 3 indexed citations
13.
Su, Li & Hau‐Tieng Wu. (2017). Extract Fetal ECG from Single-Lead Abdominal ECG by De-Shape Short Time Fourier Transform and Nonlocal Median. Frontiers in Applied Mathematics and Statistics. 3. 34 indexed citations
14.
Su, Li, et al.. (2017). Accurate Audio-To-Score Alignment For Expressive Violin Recordings.. Zenodo (CERN European Organization for Nuclear Research). 250–256. 1 indexed citations
15.
Su, Alvin W.Y., et al.. (2016). Automatic violin synthesis using expressive musical term features. 4 indexed citations
16.
Su, Li, et al.. (2015). Electric Guitar Playing Technique Detection In Real-World Recording Based On F0 Sequence Pattern Recognition.. Zenodo (CERN European Organization for Nuclear Research). 708–714. 11 indexed citations
17.
Chan, Tak-Shing, et al.. (2015). Vocal activity informed singing voice separation with the iKala dataset. 718–722. 69 indexed citations
18.
Su, Li, et al.. (2015). Musical Offset Detection Of Pitched Instruments: The Case Of Violin.. Zenodo (CERN European Organization for Nuclear Research). 281–287. 3 indexed citations
19.
Lan, Xuezhao, Claire Cameron Ponitz, Kevin F. Miller, et al.. (2009). Keeping their attention: Classroom practices associated with behavioral engagement in first grade mathematics classes in China and the United States. Early Childhood Research Quarterly. 24(2). 198–211. 66 indexed citations
20.
Su, Li. (1989). Some Properties of Rice Leaf Sucrose Phosphate Synthetase. 1 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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