Hee-Don Ahn

451 citations
48 papers · 250 · h-index 8

Impact in

Papers in

Hee-Don Ahn

32 papers receiving 168 citations

Peers

Hee-Don Ahn
Comparison fields: 5 of 28
  • Language and Linguistics 149
  • Developmental and Educational Psychology 58
  • Experimental and Cognitive Psychology 58
  • Artificial Intelligence 153
  • Linguistics and Language 18
Replace Huei‐ling Lai with:
Huei‐ling Lai Taiwan
Alice Blumenthal‐Dramé Germany
Tonia Bleam United States
Julia Ritz Germany
Kaidi Lõo Canada
Manuel Križ Austria
Emiliano Guevara Norway
Chiara Melloni Italy
Aris Xanthos Switzerland
Stefania Spina Italy
Hee-Don Ahn relative to Huei‐ling Lai Taiwan Huei‐ling Lai's profile →
Citations per field
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Huei‐ling Lai · 1×
Citations per year

Countries citing papers authored by Hee-Don Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Hee-Don Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hee-Don Ahn. 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 Hee-Don Ahn. The network helps show where Hee-Don Ahn may publish in the future.

Co-authors

The 4 scholars most cited alongside Hee-Don Ahn, 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 Hee-Don Ahn Line = papers co-authored together Hee-Don Ahn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202274
2
Light verbs, VP-movement, negation and clausal architecture in Korean and English
199126
3 201014
4 201114
5 200910
6 201110
7 20159
8 20118
9 20196
10 20215
11 20115
12 20175
13 20194
14
A Uniform Analysis of Right Dislocation: A Reply to Ko (2016)
20164
15
On Scope Asymmetries in Fragments
20054
16 20124
17 20124
18
On Some Ellipsis Phenomena in Korean
20123
19
A study on the acquisition of Korean double particles by foreign learners
20073
20
A Dual Analysis of Verb-less Coordination in Korean
20063

About Hee-Don Ahn

Hee-Don Ahn is a scholar working on Language and Linguistics, Artificial Intelligence, Experimental and Cognitive Psychology, Developmental and Educational Psychology and Cultural Studies, having authored 48 papers that have together received 250 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (28 papers), Syntax, Semantics, Linguistic Variation (28 papers), Second Language Acquisition and Learning (5 papers), EFL/ESL Teaching and Learning (5 papers), Topic Modeling (5 papers), Language, Discourse, Communication Strategies (4 papers), Language and cultural evolution (4 papers) and Phonetics and Phonology Research (4 papers). The work is most often cited by research in Language and Linguistics (149 citations), Developmental and Educational Psychology (58 citations), Experimental and Cognitive Psychology (58 citations), Artificial Intelligence (153 citations) and Linguistics and Language (18 citations). Hee-Don Ahn has collaborated with scholars based in South Korea, Russia and Italy. Frequent co-authors include Sungeun Cho, Yongjoon Cho, Moongee Jeon and Jung Hyun Lim. Their work appears in journals such as The Journal of AsiaTEFL, Second language Research, Chinese Journal of Applied Linguistics, Behavior Research Methods and Linguistic 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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