One‐Soon Her

663 citations
49 papers · 267 · h-index 10

Impact in

Papers in

One‐Soon Her

39 papers receiving 220 citations

Peers

One‐Soon Her
Comparison fields: 5 of 30
  • Language and Linguistics 195
  • Linguistics and Language 81
  • Experimental and Cognitive Psychology 64
  • Cultural Studies 42
  • Artificial Intelligence 101
Replace Sjef Barbiers with:
Sjef Barbiers Netherlands
Andrew Hippisley United States
Farrell Ackerman United States
Maziar Toosarvandani United States
R. M. W. Dixon France
Veerle Van Geenhoven Netherlands
Charlotte Galves Brazil
Mineharu Nakayama United States
Ángel L. Jiménez‐Fernández Spain
Michael Brody United Kingdom
One‐Soon Her relative to Sjef Barbiers Netherlands Sjef Barbiers's profile →
Citations per field
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Sjef Barbiers · 1×
Citations per year

Countries citing papers authored by One‐Soon Her

Since Specialization
Citations

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

Fields of papers citing papers by One‐Soon Her

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by One‐Soon Her. 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 One‐Soon Her. The network helps show where One‐Soon Her may publish in the future.

Co-authors

The 7 scholars most cited alongside One‐Soon Her, 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 One‐Soon Her Line = papers co-authored together One‐Soon Her links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
On the Semantic Distinction between Classifiers and Measure Words in Chinese
201029
2 201221
3
Structure of Classifiers and Measure Words: A Lexical Functional Account
201219
4
Grammatical functions and verb subcategorization in Mandarin Chinese
199117
5
Unifying the Long Passive and the Short Passive: On the Bei Construction in Taiwan Mandarin *
200915
6 200515
7 200614
8 201711
9 19919
10
CHINESE INVERSION CONSTRUCTIONS WITHIN A SIMPLIFIED LMT
20039
11 20097
12 20227
13 20147
14 20216
15 19916
16
Argument-Function Linking in Resultatives
20045
17 20125
18 20194
19 20194
20 20174

About One‐Soon Her

One‐Soon Her is a scholar working on Language and Linguistics, Linguistics and Language, Artificial Intelligence, Experimental and Cognitive Psychology and Cultural Studies, having authored 49 papers that have together received 267 indexed citations. Recurring topics across this work include Syntax, Semantics, Linguistic Variation (34 papers), Natural Language Processing Techniques (16 papers), Linguistic Variation and Morphology (11 papers), Multilingual Education and Policy (10 papers), Language and cultural evolution (8 papers), Language, Discourse, Communication Strategies (6 papers), Categorization, perception, and language (6 papers) and Language, Metaphor, and Cognition (5 papers). The work is most often cited by research in Language and Linguistics (195 citations), Linguistics and Language (81 citations), Experimental and Cognitive Psychology (64 citations), Cultural Studies (42 citations) and Artificial Intelligence (101 citations). One‐Soon Her has collaborated with scholars based in Taiwan, France and Sweden. Frequent co-authors include Harald Hammarström, Nai‐Shing Yen, Yun‐Ru Chen, Weijing Zhu, Gerd Carling, Chuansheng He and Adams Bodomo. Their work appears in journals such as Language and Linguistics 語言暨語言學, Lingua, Linguistics, Humanities and Social Sciences Communications and Folia Linguistica.

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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