Shang‐Yu Su

488 total citations
18 papers, 149 citations indexed

About

Shang‐Yu Su is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Shang‐Yu Su has authored 18 papers receiving a total of 149 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Shang‐Yu Su's work include Topic Modeling (13 papers), Speech and dialogue systems (11 papers) and Natural Language Processing Techniques (8 papers). Shang‐Yu Su is often cited by papers focused on Topic Modeling (13 papers), Speech and dialogue systems (11 papers) and Natural Language Processing Techniques (8 papers). Shang‐Yu Su collaborates with scholars based in Taiwan and United States. Shang‐Yu Su's co-authors include Yun-Nung Chen, Yung-Sung Chuang, Jianfeng Gao, Jingjing Liu, Xiujun Li, Po-Chun Chen, Po‐Chun Chen, Chin H. Chen, Kuan‐Hung Lin and Yuan Wang and has published in prestigious journals such as Computer Speech & Language, Journal of the Society for Information Display and arXiv (Cornell University).

In The Last Decade

Shang‐Yu Su

17 papers receiving 144 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shang‐Yu Su Taiwan	6	132	38	8	6	5	18	149
Chinnadhurai Sankar United States	6	129 1.0×	30 0.8×	10 1.3×	6 1.0×	5 1.0×	9	155
Xueliang Zhao China	7	176 1.3×	35 0.9×	4 0.5×	9 1.5×	2 0.4×	11	201
Bo-Hsiang Tseng United Kingdom	6	89 0.7×	18 0.5×	8 1.0×	8 1.3×	2 0.4×	16	102
Donghyun Kwak South Korea	7	103 0.8×	69 1.8×	3 0.4×	8 1.3×	4 0.8×	10	140
Peyman Passban Ireland	7	150 1.1×	82 2.2×	3 0.4×	8 1.3×	3 0.6×	14	183
Mengzhou Xia United States	7	137 1.0×	58 1.5×	9 1.1×	12 2.0×	5 1.0×	13	164
Ameya Prabhu United Kingdom	5	115 0.9×	31 0.8×	7 0.9×	10 1.7×	10 2.0×	11	133
Jaehong Yoon South Korea	6	81 0.6×	56 1.5×	8 1.0×	4 0.7×	3 0.6×	9	115
Kan Yasuda Japan	5	81 0.6×	58 1.5×	6 0.8×	4 0.7×	5 1.0×	17	93
Aditya Bhargava Canada	7	166 1.3×	40 1.1×	6 0.8×	11 1.8×	7 1.4×	15	187

Countries citing papers authored by Shang‐Yu Su

Since Specialization

Citations

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

Fields of papers citing papers by Shang‐Yu Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shang‐Yu Su

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

All Works

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18 of 18 papers shown

Liu, Huawei, et al.. (2025). A color and brightness shift compensation method for OLED TDDI panel using metal mesh capacitive touch sensor with temperature sensing. Journal of the Society for Information Display. 33(5). 616–627.

Su, Shang‐Yu, et al.. (2022). TREND: Trigger-Enhanced Relation-Extraction Network for Dialogues. 623–629. 1 indexed citations

Su, Shang‐Yu, et al.. (2020). Knowledge-Grounded Response Generation with Deep Attentional Latent-Variable Model. Computer Speech & Language. 63. 101069–101069. 17 indexed citations

Chuang, Yung-Sung, Shang‐Yu Su, & Yun-Nung Chen. (2020). Lifelong Language Knowledge Distillation. 2914–2924. 25 indexed citations

Su, Shang‐Yu, Yung-Sung Chuang, & Yun-Nung Chen. (2020). Dual Inference for Improving Language Understanding and Generation. 4930–4936. 3 indexed citations

Su, Shang‐Yu, et al.. (2020). RAP-Net: Recurrent Attention Pooling Networks for Dialogue Response Selection. Computer Speech & Language. 63. 101079–101079. 1 indexed citations

Su, Shang‐Yu, et al.. (2020). Learning Multi-Level Information for Dialogue Response Selection by Highway Recurrent Transformer. Computer Speech & Language. 63. 101073–101073. 3 indexed citations

Su, Shang‐Yu, et al.. (2019). Dynamically Context-sensitive Time-decay Attention for Dialogue Modeling. 7200–7204. 2 indexed citations

Su, Shang‐Yu, et al.. (2019). Compound Variational Auto-encoder. 3577–3581. 1 indexed citations

10.

Wang, Yuan, et al.. (2019). Modeling Melodic Feature Dependency with Modularized Variational Auto-encoder. 191–195. 2 indexed citations

11.

Su, Shang‐Yu, et al.. (2018). Learning Context-Sensitive Time-Decay Attention for Role-Based Dialogue Modeling.. arXiv (Cornell University). 2 indexed citations

12.

Su, Shang‐Yu, Xiujun Li, Jianfeng Gao, Jingjing Liu, & Yun-Nung Chen. (2018). Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning. 3813–3823. 39 indexed citations

13.

Su, Shang‐Yu & Yun-Nung Chen. (2018). Investigating Linguistic Pattern Ordering In Hierarchical Natural Language Generation. 779–786. 4 indexed citations

14.

Su, Shang‐Yu, et al.. (2018). How Time Matters: Learning Time-Decay Attention for Contextual Spoken Language Understanding in Dialogues. 2133–2142. 27 indexed citations

15.

Chen, Po-Chun, et al.. (2017). Dynamic time-aware attention to speaker roles and contexts for spoken language understanding. 554–560. 10 indexed citations

16.

Chen, Po‐Chun, et al.. (2017). Speaker Role Contextual Modeling for Language Understanding and Dialogue Policy Learning. 2. 163–168. 6 indexed citations

17.

Su, Shang‐Yu, et al.. (2009). P‐109: Efficient p‐i‐n Top‐emitting Flexible Organic Light Emitting Diodes on Planarized Stainless Steel Foil. SID Symposium Digest of Technical Papers. 40(1). 1524–1527. 1 indexed citations

18.

Su, Shang‐Yu, et al.. (2009). Flexible inverted bottom‐emitting organic light‐emitting devices with a semi‐transparent metal‐assisted electron‐injection layer. Journal of the Society for Information Display. 18(1). 76–80. 5 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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