Joyce Chai

3.5k citations
125 papers · 1.9k · h-index 23

Impact in

Papers in

Joyce Chai

120 papers receiving 1.7k citations

Peers

Joyce Chai
Comparison fields: 5 of 88
  • Artificial Intelligence 1.3k
  • Human-Computer Interaction 162
  • Computer Vision and Pattern Recognition 575
  • Information Systems 354
  • Health Informatics 12
Replace Cynthia Matuszek with:
Cynthia Matuszek United States
Ashwin Ram United States
Oliver Lemon United Kingdom
Seiji Yamada Japan
Toyoaki Nishida Japan
Robert B. Allen United States
Yinfei Yang United States
Dilek Hakkani‐Tür United States
Charles L. Isbell United States
Akrivi Katifori Greece
Joyce Chai relative to Cynthia Matuszek United States Cynthia Matuszek's profile →
Citations per field
00.5×1.5×2.1×
Cynthia Matuszek · 1×
Citations per year

Countries citing papers authored by Joyce Chai

Since Specialization
Citations

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

Fields of papers citing papers by Joyce Chai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004217
2 200481
3
Beyond NomBank: A Study of Implicit Arguments for Nominal Predicates
201074
4 201457
5
Proceedings of the SIGDIAL 2011 Conference
201156
6 201250
7 200849
8 201447
9 200444
10 202135
11 202434
12 201534
13 201433
14 202131
15 200531
16 201230
17 200030
18
Discourse Structure for Context Question Answering
200429
19 200228
20 200528

About Joyce Chai

Joyce Chai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Human-Computer Interaction, Information Systems and Cognitive Neuroscience, having authored 125 papers that have together received 1.9k indexed citations. Recurring topics across this work include Speech and dialogue systems (62 papers), Natural Language Processing Techniques (55 papers), Topic Modeling (53 papers), Multimodal Machine Learning Applications (21 papers), Semantic Web and Ontologies (12 papers), Multi-Agent Systems and Negotiation (9 papers), Neurobiology of Language and Bilingualism (8 papers) and Gaze Tracking and Assistive Technology (7 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Human-Computer Interaction (162 citations), Computer Vision and Pattern Recognition (575 citations), Information Systems (354 citations) and Health Informatics (12 citations). Joyce Chai has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Rong Jin, Luo Si, Lanbo She, Matthew S. Gerber, Rui Fang, Changsong Liu, Michelle X. Zhou, Pengyu Hong, Alan W. Biermann and Qiaozi Gao. Their work appears in journals such as AI Magazine, ACM Transactions on Interactive Intelligent Systems, Computational Linguistics, ACM Transactions on Information Systems and Knowledge-Based Systems.

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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