Sandra Chung

4.2k citations
38 papers · 1.6k · h-index 19

Impact in

Papers in

Sandra Chung

37 papers receiving 1.3k citations

Peers

Sandra Chung
Comparison fields: 5 of 90
  • Language and Linguistics 1.1k
  • Linguistics and Language 439
  • Experimental and Cognitive Psychology 368
  • Artificial Intelligence 540
  • Philosophy 145
Replace Katalin É. Kiss with:
Katalin É. Kiss Hungary
Alice C. Harris United States
Insup Taylor Canada
Irene Vogel United States
Benjamin Spector France
Raj Singh Canada
Charles J. Bailey United States
Ryan Shosted United States
Sara Finley United States
Ellen Simon Belgium
Sandra Chung relative to Katalin É. Kiss Hungary Katalin É. Kiss's profile →
Citations per field
00.5×1.5×2.3×
Katalin É. Kiss · 1×
Citations per year

Countries citing papers authored by Sandra Chung

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sandra Chung, 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 Sandra Chung Line = papers co-authored together Sandra Chung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995309
2 2003224
3
Government, barriers and small clauses in Modern Irish
1987129
4 1978112
5 201091
6
'Wh'-agreement and 'referentiality' in Chamorro
199483
7 201377
8 201466
9 201165
10 201060
11 198347
12 201444
13 199939
14 200027
15 200327
16 199023
17 198322
18 200421
19 201221
20 198417

About Sandra Chung

Sandra Chung is a scholar working on Language and Linguistics, Linguistics and Language, Experimental and Cognitive Psychology, Cardiology and Cardiovascular Medicine and Artificial Intelligence, having authored 38 papers that have together received 1.6k indexed citations. Recurring topics across this work include Syntax, Semantics, Linguistic Variation (21 papers), Linguistic Variation and Morphology (16 papers), Language, Discourse, Communication Strategies (8 papers), Phonetics and Phonology Research (4 papers), Natural Language Processing Techniques (4 papers), Cardiovascular Disease and Adiposity (3 papers), Neurobiology of Language and Bilingualism (3 papers) and Multilingual Education and Policy (3 papers). The work is most often cited by research in Language and Linguistics (1.1k citations), Linguistics and Language (439 citations), Experimental and Cognitive Psychology (368 citations), Artificial Intelligence (540 citations) and Philosophy (145 citations). Sandra Chung has collaborated with scholars based in United States. Frequent co-authors include William A. Ladusaw, James McCloskey, Vicente Gilsanz, Frederick J. Dorey, Hollie Jackson, Peng Hu, Stefan Blüml, Tishya A. L. Wren, Gregor B. Adams and Krishna S. Nayak. Their work appears in journals such as Language, Natural Language & Linguistic Theory, Linguistic Inquiry, Natural Language Semantics and Oceanic Linguistics.

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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