Sunghye Cho

618 citations
45 papers · 349 · h-index 12

Impact in

Papers in

    • Neurobiology of Language and Bilingualism 13
    • Autism Spectrum Disorder Research 5
    • Speech and dialogue systems 5
    • Text Readability and Simplification 5
    • Natural Language Processing Techniques 4

Sunghye Cho

36 papers receiving 341 citations

Peers

Sunghye Cho
Comparison fields: 5 of 63
  • Cognitive Neuroscience 165
  • Psychiatry and Mental health 105
  • Experimental and Cognitive Psychology 69
  • Developmental and Educational Psychology 61
  • Clinical Psychology 79
Replace Vitor Zimmerer with:
Vitor Zimmerer United Kingdom
Cristiano Chesi Italy
Cristina D. Dye United States
Delani Gunawardena United States
Claude Chevrie‐Muller France
Dana L. Byrd United States
Walid Yassin United States
Alban Voppel Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Sunghye Cho

Since Specialization
Citations

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

Fields of papers citing papers by Sunghye Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sunghye Cho, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sunghye Cho Line = papers co-authored together Sunghye Cho links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202175
2 201930
3 202227
4 202126
5 202022
6 202019
7 202117
8 202215
9 202113
10 201612
11 202211
12 201611
13 20228
14 20237
15 20227
16 20246
17 20185
18 20234
19 20214
20 20164

About Sunghye Cho

Sunghye Cho is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Experimental and Cognitive Psychology, Developmental and Educational Psychology and Clinical Psychology, having authored 45 papers that have together received 349 indexed citations. Recurring topics across this work include Language Development and Disorders (15 papers), Neurobiology of Language and Bilingualism (13 papers), Phonetics and Phonology Research (11 papers), Autism Spectrum Disorder Research (5 papers), Speech and dialogue systems (5 papers), Text Readability and Simplification (5 papers), Natural Language Processing Techniques (4 papers) and Voice and Speech Disorders (4 papers). The work is most often cited by research in Cognitive Neuroscience (165 citations), Psychiatry and Mental health (105 citations), Experimental and Cognitive Psychology (69 citations), Developmental and Educational Psychology (61 citations) and Clinical Psychology (79 citations). Sunghye Cho has collaborated with scholars based in United States, South Korea and Switzerland. Frequent co-authors include Mark Liberman, Murray Grossman, Naomi Nevler, Sharon Ash, David J. Irwin, Sanjana Shellikeri, Sunny X. Tang, Kristin A. Buss, Raquel E. Gur and Daniel H. Wolf. Their work appears in journals such as Alzheimer s & Dementia, Biological Psychiatry, Neurology, Frontiers in Psychology and Journal of Speech Language and Hearing Research.

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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