David Huynh

34 papers receiving 1.2k citations

Hit Papers

YouTube as a source of information on COVID-19: a pandemic of misinformation? 2020 · 470 citations
4702020202620222024100200300400

Peers

David Huynh
Comparison fields: 5 of 117
  • Information Systems and Management 208
  • Human-Computer Interaction 130
  • Health 197
  • Artificial Intelligence 559
  • Information Systems 351
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Jill Freyne Australia
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Citations per year

Countries citing papers authored by David Huynh

Since Specialization
Citations

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

Fields of papers citing papers by David Huynh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202313
2
YouTube as a source of information on COVID-19: a pandemic of misinformation?
Hit paper breakdown →
2020470
3 20202
4 201820
5
A Database for Measuring Linguistic Information Content
20142
6
Proceedings of the 2012th International Conference on Posters & Demonstrations Track - Volume 914
20127
7 2007114
8 200718
9 2007115
10 200758
11 20053
12
Haystack: A General-Purpose Information Management Tool for End Users Based on Semistructured Data.
200593
13 200559
14
User Interfaces for Supporting Multiple Categorization.
200338
15
What Makes a Good Answer? The Role of Context in Question Answering.
200367
16
User Interaction Experience for Semantic Web Information
20033
17 200312
18 200310
19
Haystack: a platform for creating, organizing and visualizing information using RDF
200275
20
Basic Concepts for Managing Semi-structured Information in Haystack
20020

About David Huynh

David Huynh is a scholar working on Human-Computer Interaction, Neuropsychology and Physiological Psychology, Artificial Intelligence, Information Systems and Information Systems and Management, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (8 papers), Advanced Database Systems and Queries (6 papers), Web Data Mining and Analysis (6 papers), Speech and dialogue systems (4 papers), Topic Modeling (4 papers), Personal Information Management and User Behavior (3 papers), Natural Language Processing Techniques (3 papers) and Expert finding and Q&A systems (2 papers). The work is most often cited by research in Information Systems and Management (208 citations), Human-Computer Interaction (130 citations), Health (197 citations), Artificial Intelligence (559 citations) and Information Systems (351 citations). David Huynh has collaborated with scholars based in United States, Canada and Belarus. Frequent co-authors include David R. Karger, Adrian Bailey, James Chan, Heidi Oi‐Yee Li, Dennis Quan, Robert C. Miller, Karun Bakshi, Vineet Sinha, Igor Malioutov and Timothy J. Hazen. Their work appears in journals such as Journal of Web Semantics, BMJ Global Health, Autism, ACM Transactions on Intelligent Systems and Technology and Language Resources and Evaluation.

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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