Moongee Jeon

911 total citations · 1 hit paper
28 papers, 590 citations indexed

About

Moongee Jeon is a scholar working on Developmental and Educational Psychology, Information Systems and Artificial Intelligence. According to data from OpenAlex, Moongee Jeon has authored 28 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Developmental and Educational Psychology, 10 papers in Information Systems and 7 papers in Artificial Intelligence. Recurrent topics in Moongee Jeon's work include Educational Systems and Policies (7 papers), Educational Research and Pedagogy (6 papers) and Innovative Teaching and Learning Methods (5 papers). Moongee Jeon is often cited by papers focused on Educational Systems and Policies (7 papers), Educational Research and Pedagogy (6 papers) and Innovative Teaching and Learning Methods (5 papers). Moongee Jeon collaborates with scholars based in United States, South Korea and Malaysia. Moongee Jeon's co-authors include Arthur C. Graesser, Matthew D. Davis, James W. Pennebaker, David F. Dufty, Bethany McDaniel, Tenaha O’Reilly, Jennifer Wiley, Susan R. Goldman, Zhiqiang Cai and Jisu Ryu and has published in prestigious journals such as Discourse Processes, Psychological Reports and Journal of Language and Social Psychology.

In The Last Decade

Moongee Jeon

23 papers receiving 547 citations

Hit Papers

Pronoun Use Reflects Standings in Social Hierarchies 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Moongee Jeon United States 6 202 168 160 123 88 28 590
Rebecca Moore Howard United States 12 140 0.7× 141 0.8× 75 0.5× 37 0.3× 203 2.3× 40 1.2k
Wendy Sutherland‐Smith Australia 20 62 0.3× 105 0.6× 105 0.7× 65 0.5× 281 3.2× 51 1.1k
Sven Joeckel Germany 12 92 0.5× 71 0.4× 295 1.8× 69 0.6× 61 0.7× 30 594
Ahmad S. Haider Jordan 16 125 0.6× 58 0.3× 136 0.8× 60 0.5× 181 2.1× 85 842
Gary M. Lavergne United States 5 111 0.5× 29 0.2× 159 1.0× 120 1.0× 46 0.5× 8 411
Şacip Toker Türkiye 11 84 0.4× 80 0.5× 265 1.7× 45 0.4× 204 2.3× 34 532
Guangming Ling United States 12 48 0.2× 135 0.8× 93 0.6× 183 1.5× 542 6.2× 50 953
Johanna Fleckenstein Germany 16 158 0.8× 191 1.1× 76 0.5× 343 2.8× 280 3.2× 50 947
Ravinder Koul United States 17 47 0.2× 159 0.9× 46 0.3× 185 1.5× 337 3.8× 55 749
Marieke Thurlings Netherlands 10 48 0.2× 163 1.0× 108 0.7× 99 0.8× 579 6.6× 22 904

Countries citing papers authored by Moongee Jeon

Since Specialization
Citations

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

Fields of papers citing papers by Moongee Jeon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moongee Jeon

This figure shows the co-authorship network connecting the top 25 collaborators of Moongee Jeon. A scholar is included among the top collaborators of Moongee Jeon 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 Moongee Jeon. Moongee Jeon 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
2.
Ryu, Jisu, et al.. (2023). Corpus stylistic analysis of literary translation using multilevel linguistic measures. Target International Journal of Translation Studies. 35(4). 514–539. 1 indexed citations
3.
Ryu, Jisu, et al.. (2022). Effects of Pre-Task Planning and Source Texts on Korean EFL College Learners’ Summary Writing. The Journal of AsiaTEFL. 19(1). 109–124. 2 indexed citations
4.
Ryu, Jisu & Moongee Jeon. (2021). Analyzing Science Textbooks on Linguistic Measures by Auto-Kohesion. The Korean Data Analysis Society. 23(2). 845–864. 1 indexed citations
5.
Ryu, Jisu & Moongee Jeon. (2020). A Coh-Metrix analysis of the first grade middle school English textbooks revised by the 2015 National Curriculum.. Korean Journal of English Language and Linguistics. 20. 89–121. 1 indexed citations
6.
Ryu, Jisu & Moongee Jeon. (2020). An Analysis of the Text Complexity of Elementary School Korean Textbooks Using Auto-Kohesion. 55(3). 131–156. 1 indexed citations
7.
Ryu, Jisu & Moongee Jeon. (2020). An Analysis of Text Difficulty across Grades in Korean Middle School English Textbooks Using Coh-Metrix. The Journal of AsiaTEFL. 17(3). 921–936. 7 indexed citations
8.
Ryu, Jisu, et al.. (2020). Effects of Source Texts’ Types on Korean EFL College Learners’ Summary Writing Performance. 95. 331–355. 1 indexed citations
9.
Kim, Sojung & Moongee Jeon. (2016). An analysis study of English writing of elementary school 6th grade English language learners using Coh-Metrix. 17(3). 263–287. 1 indexed citations
10.
Jeon, Moongee. (2015). An analysis of the continuity among middle school English textbooks with an automated language analysis program.. 16(1). 195–218. 1 indexed citations
11.
Jeon, Moongee. (2014). An Analysis of the Continuity of the Reading Materials in High School English Textbooks. The Korean Data Analysis Society. 16(2). 925–938. 4 indexed citations
12.
Jeon, Moongee. (2014). Analyzing the Cohesion of English Text and Discourse with Automated Computer Tools. Journal of Pan-Pacific Association of Applied Linguistics. 18(2). 123–133. 2 indexed citations
13.
Ahn, Hee-Don, et al.. (2014). Decomposition of Morphologically Complex Words in L1 and L2: Evidence from Masked and Cross-Modal Priming Experiments of a Korean Verbal Suffix. Foreign Languages Education. 21(3). 333–353. 1 indexed citations
14.
김지은 & Moongee Jeon. (2013). A Corpus-based Analysis of the Continuity of the Listening Materials in Middle School English Textbooks for Coh-Metrix Measures. The Korean Data Analysis Society. 15(4). 1987–2000. 1 indexed citations
15.
Park, Hana & Moongee Jeon. (2011). A Corpus-Based Analysis of Inflectional and Periphrastic Comparatives in English Disyllabic Adjectives. 23. 169–181. 1 indexed citations
16.
Jeon, Moongee. (2011). A Corpus-based Analysis of the Continuity of the Reading Materials in Middle School English 1 and 2 Textbooks with Coh-Metrix.. 201–218. 3 indexed citations
17.
Jeon, Moongee & Roger Azevedo. (2007). Analyzing Human Tutorial Dialogues for Cohesion and Coherence During Hypermedia Learning of a Complex Science Topic. eScholarship (California Digital Library). 29(29). 3 indexed citations
18.
Graesser, Arthur C., Jennifer Wiley, Susan R. Goldman, et al.. (2007). SEEK Web tutor: fostering a critical stance while exploring the causes of volcanic eruption. Metacognition and Learning. 2(2-3). 89–105. 72 indexed citations
19.
Graesser, Arthur C., et al.. (2007). Discourse cohesion in text and tutorial dialogue. Information Design Journal. 15(3). 199–213. 37 indexed citations
20.
Jeon, Moongee, Tenaha O’Reilly, Bethany McDaniel, et al.. (2005). Scaffolding Critical Thinking on SEEK. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2005(1). 2123–2128. 1 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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