Jee Eun Sung

1.1k total citations
117 papers, 684 citations indexed

About

Jee Eun Sung is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Jee Eun Sung has authored 117 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Cognitive Neuroscience, 40 papers in Developmental and Educational Psychology and 31 papers in Experimental and Cognitive Psychology. Recurrent topics in Jee Eun Sung's work include Neurobiology of Language and Bilingualism (66 papers), Dementia and Cognitive Impairment Research (25 papers) and Reading and Literacy Development (23 papers). Jee Eun Sung is often cited by papers focused on Neurobiology of Language and Bilingualism (66 papers), Dementia and Cognitive Impairment Research (25 papers) and Reading and Literacy Development (23 papers). Jee Eun Sung collaborates with scholars based in South Korea, United States and India. Jee Eun Sung's co-authors include Malcolm R. McNeil, Sheila R. Pratt, Jee Hyang Jeong, William D. Hula, Patrick J. Doyle, Tepanta Fossett, Jae Keun Yoo, Gayle DeDe, Michael Walsh Dickey and Wiltrud Fassbinder and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Jee Eun Sung

92 papers receiving 638 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jee Eun Sung South Korea 15 479 292 143 142 50 117 684
Alberto Parola Italy 14 376 0.8× 186 0.6× 134 0.9× 132 0.9× 93 1.9× 36 607
Gail Ramsberger United States 14 540 1.1× 252 0.9× 111 0.8× 134 0.9× 33 0.7× 25 690
Gayle DeDe United States 18 784 1.6× 567 1.9× 148 1.0× 85 0.6× 23 0.5× 42 884
Tepanta Fossett United States 12 349 0.7× 194 0.7× 63 0.4× 70 0.5× 20 0.4× 23 463
Shannon N. Austermann Hula United States 5 340 0.7× 310 1.1× 135 0.9× 66 0.5× 132 2.6× 8 597
Susan Fager United States 16 515 1.1× 153 0.5× 131 0.9× 153 1.1× 187 3.7× 52 1.2k
Christos Salis United Kingdom 14 437 0.9× 230 0.8× 79 0.6× 104 0.7× 12 0.2× 41 585
Jane Riddoch United Kingdom 16 746 1.6× 487 1.7× 103 0.7× 167 1.2× 40 0.8× 26 1.1k
Marina Zettin Italy 18 775 1.6× 251 0.9× 162 1.1× 146 1.0× 75 1.5× 34 1.2k
Rajinder Koul United States 20 612 1.3× 389 1.3× 74 0.5× 107 0.8× 218 4.4× 60 952

Countries citing papers authored by Jee Eun Sung

Since Specialization
Citations

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

Fields of papers citing papers by Jee Eun Sung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jee Eun Sung. 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 Jee Eun Sung. The network helps show where Jee Eun Sung may publish in the future.

Co-authorship network of co-authors of Jee Eun Sung

This figure shows the co-authorship network connecting the top 25 collaborators of Jee Eun Sung. A scholar is included among the top collaborators of Jee Eun Sung 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 Jee Eun Sung. Jee Eun Sung 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.
Park, Jimin, et al.. (2025). Establishing Automated Analysis Systems in the Animal Fluency Task Reflecting Korean-specific Clustering Criteria. Eon'eo cheong'gag jang'ae yeon'gu/Communication sciences & disorders. 30(2). 395–411.
2.
Sung, Jee Eun, et al.. (2025). Cross-Linguistic and Multicultural Effects on Animal Fluency Performance in Persons With Aphasia. American Journal of Speech-Language Pathology. 34(6S). 3611–3621.
3.
Sung, Jee Eun, et al.. (2024). Speech synthesis from three-axis accelerometer signals using conformer-based deep neural network. Computers in Biology and Medicine. 182. 109090–109090.
4.
Park, Jimin, et al.. (2024). Effects of Word Order Canonicity on Online Self-paced Reading Processing in Older Adults. Eon'eo cheong'gag jang'ae yeon'gu/Communication sciences & disorders. 29(4). 830–844.
5.
Sung, Jee Eun, Gayle DeDe, & Jimin Park. (2024). Interplay of Semantic Plausibility and Word Order Canonicity in Sentence Processing of People With Aphasia Using a Verb-Final Language. American Journal of Speech-Language Pathology. 33(6S). 3236–3246.
6.
Choi, JongSuk, et al.. (2024). Robot-assisted language assessment: development and evaluation of feasibility and usability. Intelligent Service Robotics. 17(2). 303–313. 3 indexed citations
7.
8.
Sung, Jee Eun, et al.. (2024). Effects of Time Intervals and Semantic Weight on Action Fluency Tasks in Older Adults. Eon'eo cheong'gag jang'ae yeon'gu/Communication sciences & disorders. 29(3). 578–591.
9.
Jun, Sang Beom, et al.. (2023). Pupillometry as a window to detect cognitive aging in the brain. Biomedical Engineering Letters. 14(1). 91–101. 1 indexed citations
10.
Sung, Jee Eun, et al.. (2022). Effects of Verb Network Strengthening Treatment (VNeST) using Telepractice on Word Retrieval in Korean-Speakers with Non-Fluent Aphasia. Eon'eo cheong'gag jang'ae yeon'gu/Communication sciences & disorders. 27(3). 629–646.
11.
Park, Jimin, et al.. (2022). Verb Recognition Abilities in Young and Older Adults as a Function of Linguistic Presentation Units. Eon'eo cheong'gag jang'ae yeon'gu/Communication sciences & disorders. 27(4). 797–812. 1 indexed citations
12.
Park, Jimin, et al.. (2022). Phonological and semantic strategies in a letter fluency task for people with Alzheimer’s disease. Frontiers in Psychology. 13. 1053272–1053272. 3 indexed citations
13.
Sung, Jee Eun, et al.. (2020). The Efficacy of Telepractice Intervention for Children & Adolescents with Speech, Language & Hearing Impairments: a Meta-Analysis. Eon'eo cheong'gag jang'ae yeon'gu/Communication sciences & disorders. 25(4). 976–986. 8 indexed citations
14.
Sung, Jee Eun, et al.. (2020). Effects of Verb Argument Structure and the Types of Presentation Modality on Verb Production in Individuals with Aphasia Using a Verb-Final Language. Eon'eo cheong'gag jang'ae yeon'gu/Communication sciences & disorders. 25(2). 399–410.
15.
Sung, Jee Eun, et al.. (2018). Effects of working memory demands on sentence production in aphasia. Journal of Neurolinguistics. 48. 64–75. 14 indexed citations
16.
Choi, Su Jin, Jee Eun Sung, Jee Hyang Jeong, & Geon Ha Kim. (2016). Effects of Working Memory Treatment using Verb-Carrier Phrases on Language Processing in Persons with Mild Cognitive Impairment. Eon'eo cheong'gag jang'ae yeon'gu/Communication sciences & disorders. 21(3). 524–537. 2 indexed citations
17.
18.
Sung, Jee Eun, et al.. (2012). 통사적 복잡성에 따른 경도인지장애 환자와 알츠하이머성 치매환자의 문장이해능력 비교. Eon'eo cheong'gag jang'ae yeon'gu/Communication sciences & disorders. 17(2). 338–355. 8 indexed citations
19.
Lee, Youngmee, et al.. (2011). Effects of the Types of Noise and Signal-to-Noise Ratios on Speech Intelligibility in Dysarthria. Phonetics and Speech Sciences. 3(4). 117–124. 3 indexed citations
20.
Sung, Jee Eun, et al.. (2004). Effects of Subthalamic Nucleus Deep Brain Stimulation on the Phonation and Articulation of the Patients with Parkinson's Disease. Journal of the Korean Neurological Association. 22(5). 472–477. 4 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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