Sung-Lin Yeh

709 total citations
11 papers, 120 citations indexed

About

Sung-Lin Yeh is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Sung-Lin Yeh has authored 11 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Signal Processing, 9 papers in Artificial Intelligence and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Sung-Lin Yeh's work include Speech and Audio Processing (7 papers), Speech Recognition and Synthesis (6 papers) and Emotion and Mood Recognition (4 papers). Sung-Lin Yeh is often cited by papers focused on Speech and Audio Processing (7 papers), Speech Recognition and Synthesis (6 papers) and Emotion and Mood Recognition (4 papers). Sung-Lin Yeh collaborates with scholars based in United Kingdom, Taiwan and South Korea. Sung-Lin Yeh's co-authors include Chi-Chun Lee, Hao Tang, György Fazekas, James Glass, Hao Tang, Yu-An Chung, Hao Tang, Huanyu Chen, Alexander H. Liu and Yu-Lin Huang and has published in prestigious journals such as IEEE Journal of Selected Topics in Signal Processing and Interspeech 2022.

In The Last Decade

Sung-Lin Yeh

10 papers receiving 114 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sung-Lin Yeh United Kingdom	6	78	67	58	21	10	11	120
Raghavendra Pappagari United States	7	132 1.7×	67 1.0×	73 1.3×	20 1.0×	11 1.1×	10	194
Enmao Diao United States	3	51 0.7×	62 0.9×	55 0.9×	11 0.5×	5 0.5×	12	110
Ka Ho Wong Hong Kong	9	113 1.4×	58 0.9×	63 1.1×	17 0.8×	9 0.9×	22	169
Claire Pillot-Loiseau France	8	84 1.1×	96 1.4×	51 0.9×	37 1.8×	3 0.3×	41	202
Volker Warnke Germany	9	220 2.8×	105 1.6×	54 0.9×	14 0.7×	11 1.1×	25	279
Aitor Álvarez Spain	8	120 1.5×	25 0.4×	88 1.5×	56 2.7×	5 0.5×	28	201
Yongguo Kang China	5	166 2.1×	93 1.4×	124 2.1×	21 1.0×	15 1.5×	6	208
Nirmesh J. Shah India	9	189 2.4×	73 1.1×	134 2.3×	30 1.4×	16 1.6×	26	233
Helena Moniz Portugal	9	181 2.3×	111 1.7×	37 0.6×	16 0.8×	5 0.5×	43	251
Julie Carson-Berndsen Ireland	9	242 3.1×	80 1.2×	103 1.8×	18 0.9×	15 1.5×	68	283

Countries citing papers authored by Sung-Lin Yeh

Since Specialization

Citations

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

Fields of papers citing papers by Sung-Lin Yeh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung-Lin Yeh. 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 Sung-Lin Yeh. The network helps show where Sung-Lin Yeh may publish in the future.

Co-authorship network of co-authors of Sung-Lin Yeh

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Liu, Alexander H., Sung-Lin Yeh, & James Glass. (2024). Revisiting Self-supervised Learning of Speech Representation from a Mutual Information Perspective. 12051–12055. 2 indexed citations

2.

Yeh, Sung-Lin & Hao Tang. (2024). Estimating the Completeness of Discrete Speech Units. 415–422. 1 indexed citations

3.

Yeh, Sung-Lin & Hao Tang. (2023). Learning Dependencies of Discrete Speech Representations with Neural Hidden Markov Models. 1–5.

4.

Yeh, Sung-Lin, et al.. (2023). Conditioning and Sampling in Variational Diffusion Models for Speech Super-Resolution. 1–5. 12 indexed citations

5.

Yeh, Sung-Lin, et al.. (2022). Autoregressive Predictive Coding: A Comprehensive Study. IEEE Journal of Selected Topics in Signal Processing. 16(6). 1380–1390. 12 indexed citations

6.

Yeh, Sung-Lin & Hao Tang. (2022). Autoregressive Co-Training for Learning Discrete Speech Representation. Interspeech 2022. 3 indexed citations

7.

Yeh, Sung-Lin, et al.. (2020). Speech Representation Learning for Emotion Recognition Using End-to-End ASR with Factorized Adaptation. 536–540. 5 indexed citations

8.

Yeh, Sung-Lin, et al.. (2020). A Dialogical Emotion Decoder for Speech Emotion Recognition in Spoken Dialog. 6479–6483. 15 indexed citations

9.

Yeh, Sung-Lin, Yu-Lin Huang, Meng‐Han Lin, et al.. (2019). Using Attention Networks and Adversarial Augmentation for Styrian Dialect Continuous Sleepiness and Baby Sound Recognition. 2398–2402. 11 indexed citations

10.

Yeh, Sung-Lin, et al.. (2019). An Interaction-aware Attention Network for Speech Emotion Recognition in Spoken Dialogs. 6685–6689. 53 indexed citations

11.

Yeh, Sung-Lin, et al.. (2018). Self-Assessed Affect Recognition Using Fusion of Attentional BLSTM and Static Acoustic Features. 536–540. 6 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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