Sunghye Cho

618 total citations
45 papers, 349 citations indexed

About

Sunghye Cho is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Sunghye Cho has authored 45 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 16 papers in Artificial Intelligence and 15 papers in Experimental and Cognitive Psychology. Recurrent topics in Sunghye Cho's work include Language Development and Disorders (15 papers), Neurobiology of Language and Bilingualism (13 papers) and Phonetics and Phonology Research (11 papers). Sunghye Cho is often cited by papers focused on Language Development and Disorders (15 papers), Neurobiology of Language and Bilingualism (13 papers) and Phonetics and Phonology Research (11 papers). Sunghye Cho collaborates with scholars based in United States, South Korea and Denmark. Sunghye Cho's co-authors include Mark Liberman, Murray Grossman, Naomi Nevler, Sharon Ash, David J. Irwin, Sanjana Shellikeri, Kristin A. Buss, Sunny X. Tang, Raquel E. Gur and João Sedoc and has published in prestigious journals such as Neurology, Biological Psychiatry and The Journal of the Acoustical Society of America.

In The Last Decade

Sunghye Cho

36 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sunghye Cho United States	12	165	105	79	75	69	45	349
Vitor Zimmerer United Kingdom	12	274 1.7×	134 1.3×	43 0.5×	47 0.6×	47 0.7×	24	404
Karen Chenausky United States	14	397 2.4×	82 0.8×	144 1.8×	48 0.6×	67 1.0×	36	567
Cristiano Chesi Italy	10	235 1.4×	95 0.9×	14 0.2×	141 1.9×	60 0.9×	40	446
Ignatius S. B. Nip United States	12	112 0.7×	57 0.5×	67 0.8×	57 0.8×	202 2.9×	20	441
Cristina D. Dye United States	8	173 1.0×	82 0.8×	20 0.3×	37 0.5×	36 0.5×	11	332
Arpita Bose United Kingdom	15	492 3.0×	67 0.6×	77 1.0×	32 0.4×	171 2.5×	51	712
Tepanta Fossett United States	12	349 2.1×	70 0.7×	20 0.3×	32 0.4×	63 0.9×	23	463
Delani Gunawardena United States	8	377 2.3×	166 1.6×	17 0.2×	45 0.6×	38 0.6×	9	478
Mélanie Jucla France	13	416 2.5×	127 1.2×	21 0.3×	25 0.3×	48 0.7×	28	595
Skott E. Freedman United States	4	254 1.5×	36 0.3×	118 1.5×	28 0.4×	137 2.0×	7	497

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-authorship network of co-authors of Sunghye Cho

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Cho, Sunghye, Sharon Ash, Katheryn A Q Cousins, et al.. (2025). Automatic quantification of syntactic complexity in natural spontaneous speech of people with primary progressive aphasia. Aphasiology. 40(3). 561–582.

Cox, Christopher Martin Mikkelsen, Riccardo Fusaroli, Yngwie Asbjørn Nielsen, et al.. (2025). Social Context Matters for Turn‐Taking Dynamics: A Comparative Study of Autistic and Typically Developing Children. Cognitive Science. 49(10). e70124–e70124.

Liu, Jun, et al.. (2025). Comparisons of Mandarin on-focus expansion and post-focus compression between native speakers and L2 learners: Production and machine learning classification. Speech Communication. 173. 103280–103280.

Cho, Sunghye, Christopher A. Olm, Sharon Ash, et al.. (2024). Automatic classification of AD pathology in FTD phenotypes using natural speech. Alzheimer s & Dementia. 20(5). 3416–3428. 3 indexed citations

Cho, Sunghye, Meredith Cola, Alison Russell, et al.. (2023). Sex differences in the temporal dynamics of autistic children’s natural conversations. Molecular Autism. 14(1). 13–13. 7 indexed citations

Shellikeri, Sanjana, Sunghye Cho, Sharon Ash, et al.. (2023). Digital markers of motor speech impairments in spontaneous speech of patients with ALS-FTD spectrum disorders. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 25(3-4). 317–325. 1 indexed citations

Nevler, Naomi, Sanjana Shellikeri, Katheryn A Q Cousins, et al.. (2023). Comparison of category and letter fluency tasks through automated analysis. Frontiers in Psychology. 14. 1212793–1212793. 4 indexed citations

Tang, Sunny X., Yan Cong, Sunghye Cho, et al.. (2022). Latent Factors of Language Disturbance and Relationships to Quantitative Speech Features. Schizophrenia Bulletin. 49(Supplement_2). S93–S103. 11 indexed citations

Shellikeri, Sanjana, Sunghye Cho, Katheryn A Q Cousins, et al.. (2022). Natural speech markers of Alzheimer's disease co-pathology in Lewy body dementias. Parkinsonism & Related Disorders. 102. 94–100. 7 indexed citations

10.

Cho, Sunghye, Katheryn A Q Cousins, Sanjana Shellikeri, et al.. (2022). Lexical and Acoustic Speech Features Relating to Alzheimer Disease Pathology. Neurology. 99(4). e313–e322. 27 indexed citations

11.

Cho, Sunghye, Sanjana Shellikeri, Katheryn A Q Cousins, et al.. (2022). Prosodic characteristics of prepausal words produced by patients with neurodegenerative disease. PubMed. 2022. 120–124. 1 indexed citations

12.

Cong, Yan, Sunghye Cho, Sameer Pradhan, et al.. (2022). Who does what to whom? graph representations of action-predication in speech relate to psychopathological dimensions of psychosis. Schizophrenia. 8(1). 58–58. 8 indexed citations

13.

Cho, Sunghye, Naomi Nevler, Sharon Ash, et al.. (2021). Automated analysis of lexical features in frontotemporal degeneration. Cortex. 137. 215–231. 26 indexed citations

14.

Tang, Sunny X., Sunghye Cho, Raquel E. Gur, et al.. (2021). Natural language processing methods are sensitive to sub-clinical linguistic differences in schizophrenia spectrum disorders. Schizophrenia. 7(1). 25–25. 75 indexed citations

15.

Cho, Sunghye, Naomi Nevler, Christopher Cieri, et al.. (2021). Automated Analysis of Digitized Letter Fluency Data. Frontiers in Psychology. 12. 654214–654214. 4 indexed citations

16.

Buss, Kristin A., Sunghye Cho, Santiago Morales, et al.. (2020). Toddler dysregulated fear predicts continued risk for social anxiety symptoms in early adolescence. Development and Psychopathology. 33(1). 252–263. 19 indexed citations

17.

Nevler, Naomi, Sharon Ash, Corey T. McMillan, et al.. (2020). Automated analysis of natural speech in amyotrophic lateral sclerosis spectrum disorders. Neurology. 95(12). 22 indexed citations

18.

Nevler, Naomi, Sharon Ash, Sunghye Cho, et al.. (2020). Automated semantic speech analysis in AD and lvPPA. Alzheimer s & Dementia. 16(S4). 1 indexed citations

19.

Cho, Sunghye, Mark Liberman, Neville Ryant, et al.. (2019). Automatic Detection of Autism Spectrum Disorder in Children Using Acoustic and Text Features from Brief Natural Conversations. 2513–2517. 30 indexed citations

20.

Cho, Sunghye, Lauren E. Philbrook, Elizabeth L. Davis, & Kristin A. Buss. (2016). Sleep duration and RSA suppression as predictors of internalizing and externalizing behaviors. Developmental Psychobiology. 59(1). 60–69. 11 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.

Explore authors with similar magnitude of impact