Shuangyu Chang

767 total citations
28 papers, 525 citations indexed

About

Shuangyu Chang is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Shuangyu Chang has authored 28 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 12 papers in Signal Processing and 9 papers in Experimental and Cognitive Psychology. Recurrent topics in Shuangyu Chang's work include Speech Recognition and Synthesis (21 papers), Natural Language Processing Techniques (12 papers) and Speech and dialogue systems (9 papers). Shuangyu Chang is often cited by papers focused on Speech Recognition and Synthesis (21 papers), Natural Language Processing Techniques (12 papers) and Speech and dialogue systems (9 papers). Shuangyu Chang collaborates with scholars based in United States, Finland and United Kingdom. Shuangyu Chang's co-authors include Steven Greenberg, Edmond S. L. Ho, Mirjam Wester, Lokendra Shastri, Michael Levit, Nelson Morgan, Geoffrey Zweig, S. Greenberg, Barry Chen and Sunil Sivadas and has published in prestigious journals such as International Journal of Production Research, Journal of Phonetics and Speech Communication.

In The Last Decade

Shuangyu Chang

27 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuangyu Chang United States 11 243 197 189 175 64 28 525
Patrick Cardinal Canada 14 254 1.0× 124 0.6× 55 0.3× 252 1.4× 49 0.8× 43 569
Vincent Pagel Belgium 5 353 1.5× 194 1.0× 121 0.6× 99 0.6× 155 2.4× 14 580
Pirros Tsiakoulis Greece 14 466 1.9× 76 0.4× 51 0.3× 138 0.8× 42 0.7× 52 563
Ryuichi Nisimura Japan 10 301 1.2× 123 0.6× 92 0.5× 282 1.6× 16 0.3× 37 501
Ian B. Thomas United States 10 87 0.4× 113 0.6× 204 1.1× 147 0.8× 17 0.3× 30 399
Christian Benoı̂t France 13 252 1.0× 290 1.5× 142 0.8× 318 1.8× 33 0.5× 35 648
Kåre Sjölander Sweden 5 316 1.3× 180 0.9× 43 0.2× 226 1.3× 30 0.5× 10 466
Olivier Deroo Belgium 9 375 1.5× 110 0.6× 31 0.2× 259 1.5× 33 0.5× 19 517
Rolf Carlson Sweden 17 598 2.5× 397 2.0× 87 0.5× 216 1.2× 37 0.6× 97 864
J.-C. Junqua United States 12 604 2.5× 73 0.4× 41 0.2× 622 3.6× 18 0.3× 29 791

Countries citing papers authored by Shuangyu Chang

Since Specialization
Citations

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

Fields of papers citing papers by Shuangyu Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuangyu Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Shuangyu Chang. A scholar is included among the top collaborators of Shuangyu Chang 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 Shuangyu Chang. Shuangyu Chang 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.
Chang, Shuangyu, et al.. (2022). Streaming Punctuation for Long-Form Dictation with Transformers. 187–197. 2 indexed citations
3.
4.
Chang, Shuangyu, et al.. (2022). Streaming Punctuation: A Novel Punctuation Technique Leveraging Bidirectional Context for Continuous Speech Recognition. arXiv (Cornell University). 11(6). 1–13. 2 indexed citations
5.
Levit, Michael, et al.. (2018). What to Expect from Expected Kneser-Ney Smoothing. 3378–3382. 2 indexed citations
6.
7.
Levit, Michael, Yan Huang, Shuangyu Chang, & Yifan Gong. (2017). Don’t Count on ASR to Transcribe for You: Breaking Bias with Two Crowds. 3941–3945. 1 indexed citations
8.
Oğuz, Barlas, et al.. (2016). Entropy Based Pruning for Non-Negative Matrix Based Language Models with Contextual Features. 2328–2332. 1 indexed citations
9.
Levit, Michael, et al.. (2015). Token-level interpolation for class-based language models. 5426–5430. 2 indexed citations
10.
Levit, Michael, et al.. (2014). Word-phrase-entity language models: getting more mileage out of n-grams. 9 indexed citations
11.
Levit, Michael, et al.. (2012). End-to-end speech recognition accuracy metric for voice-search tasks. 5141–5144. 5 indexed citations
12.
Chang, Shuangyu. (2006). Improving speech recognition accuracy with multi-confidence thresholding. paper 1346–Wed1CaP.3. 2 indexed citations
13.
Chang, Shuangyu, et al.. (2006). Saliency parsing for automated directory assistance. paper 1421–Mon2WeO.1. 1 indexed citations
14.
Chang, Shuangyu, Mirjam Wester, & Steven Greenberg. (2005). An elitist approach to automatic articulatory-acoustic feature classification for phonetic characterization of spoken language. Speech Communication. 47(3). 290–311. 20 indexed citations
15.
Chen, Barry, Shuangyu Chang, & Sunil Sivadas. (2003). Learning discriminative temporal patterns in speech: development of novel TRAPS-like classifiers. 853–856. 16 indexed citations
16.
Greenberg, Steven, et al.. (2002). Beyond the phoneme: a juncture-accent model of spoken language. 36–43. 11 indexed citations
17.
Chang, Shuangyu, Nelson Morgan, & Lokendra Shastri. (2002). A syllable, articulatory-feature, and stress-accent model of speech recognition. 18 indexed citations
18.
Chang, Shuangyu, Steven Greenberg, & Mirjam Wester. (2001). An elitist approach to articulatory-acoustic feature classification. Edinburgh Research Explorer. 1725–1728. 24 indexed citations
19.
Chang, Shuangyu, Lokendra Shastri, & Steven Greenberg. (2000). Automatic phonetic transcription of spontaneous speech (american English). vol. 4, 330–333. 22 indexed citations
20.
Chang, Shuangyu & Edmond S. L. Ho. (1999). A two-stage neural network approach for process variance change detection and classification. International Journal of Production Research. 37(7). 1581–1599. 47 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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