Su‐Youn Yoon
About
In The Last Decade
Su‐Youn Yoon
37 papers receiving 414 citations
Peers
Comparison fields: 5 of 45
- Artificial Intelligence 403
- Signal Processing 86
- Experimental and Cognitive Psychology 69
- Developmental and Educational Psychology 61
- Information Systems 37
Countries citing papers authored by Su‐Youn Yoon
This map shows the geographic impact of Su‐Youn Yoon'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 Su‐Youn Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su‐Youn Yoon more than expected).
Fields of papers citing papers by Su‐Youn Yoon
This network shows the impact of papers produced by Su‐Youn Yoon. 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 Su‐Youn Yoon. The network helps show where Su‐Youn Yoon may publish in the future.
Co-authorship network of co-authors of Su‐Youn Yoon
This figure shows the co-authorship network connecting the top 25 collaborators of Su‐Youn Yoon. A scholar is included among the top collaborators of Su‐Youn Yoon 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 Su‐Youn Yoon. Su‐Youn Yoon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | Word-Embedding based Content Features for Automated Oral Proficiency Scoring | 5 |
| 3 | Automated Scoring of Nonnative Speech Using the "SpeechRater"? v. 5.0 Engine. Research Report. ETS RR-18-10. | 1 |
| 4 | 40 | |
| 5 | 2 | |
| 6 | Evaluating Argumentative and Narrative Essays using Graphs | 11 |
| 7 | Textual complexity as a predictor of difficulty of listening items in language proficiency tests. | 18 |
| 8 | Can We Make Computers Laugh at Talks | 1 |
| 9 | 33 | |
| 10 | Automated Scoring of Speaking Tasks in the Test of English-for-Teaching ("TEFT"™). Research Report. ETS RR-15-31. | 3 |
| 11 | 7 | |
| 12 | 3 | |
| 13 | Assessment of ESL Learners' Syntactic Competence Based on Similarity Measures | 14 |
| 14 | Vocabulary Profile as a Measure of Vocabulary Sophistication | 14 |
| 15 | Detecting Structural Events for Assessing Non-Native Speech | 15 |
| 16 | Non-English Response Detection Method for Automated Proficiency Scoring System | 5 |
| 17 | Non-scorable Response Detection for Automated Speaking Proficiency Assessment | 5 |
| 18 | 5 | |
| 19 | Multilingual Transliteration Using Feature based Phonetic Method | 29 |
| 20 | 61 |
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.