Shuangyu Chang
- Artificial Intelligence top 5%
- Experimental and Cognitive Psychology top 5%
- Cognitive Neuroscience top 10%
- Signal Processing top 5%
- Developmental and Educational Psychology top 10%
- Co-authors
- Steven GreenbergEdmond S. L. HoMirjam WesterLokendra ShastriGeoffrey ZweigNelson MorganMichael LevitS. Greenberg
- Topics
- Speech Recognition and Synthesis (21 papers)Natural Language Processing Techniques (12 papers)Speech and dialogue systems (9 papers)
- Partner nations
- United StatesFinlandUnited Kingdom
In The Last Decade
Shuangyu Chang
27 papers receiving 463 citations
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 243
- Experimental and Cognitive Psychology 197
- Cognitive Neuroscience 189
- Signal Processing 175
- Developmental and Educational Psychology 64
Countries citing papers authored by Shuangyu Chang
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 9 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 20 | |
| 15 | 16 | |
| 16 | Beyond the phoneme: a juncture-accent model of spoken language | 11 |
| 17 | A syllable, articulatory-feature, and stress-accent model of speech recognition | 18 |
| 18 | 24 | |
| 19 | 22 | |
| 20 | 47 |
About Shuangyu Chang
Shuangyu Chang is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 28 papers that have together received 525 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (21 papers), Natural Language Processing Techniques (12 papers) and Speech and dialogue systems (9 papers). The work is most often cited by research in Signal Processing (175 citations), Experimental and Cognitive Psychology (197 citations) and Cognitive Neuroscience (189 citations). Shuangyu Chang has collaborated with scholars based in United States, Finland and United Kingdom. Frequent co-authors include Steven Greenberg, Edmond S. L. Ho, Mirjam Wester, Lokendra Shastri, Geoffrey Zweig, Nelson Morgan, Michael Levit, S. Greenberg, Barry Chen and Sunil Sivadas. Their work appears in journals such as International Journal of Production Research, Journal of Phonetics and Speech Communication.
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.