Joyce Chai

3.6k citations
134 papers · 2.2k · h-index 26

Impact in

Papers in

Joyce Chai

128 papers receiving 2.0k citations

Peers

Joyce Chai
Comparison fields: 5 of 91
  • Artificial Intelligence 1.5k
  • Human-Computer Interaction 195
  • Computer Vision and Pattern Recognition 665
  • Information Systems 414
  • Health Informatics 14
Replace Cynthia Matuszek with:
Cynthia Matuszek United States
Ashwin Ram United States
Seiji Yamada Japan
Mike Lewis United States
Ingrid Zukerman Australia
Charles L. Isbell United States
Grzegorz J. Nalepa Poland
Dilek Hakkani‐Tür United States
Michel Galley United States
Yinfei Yang United States
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Citations per field
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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 134 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004250
2 2004109
3
Beyond NomBank: A Study of Implicit Arguments for Nominal Predicates
201079
4
Proceedings of the SIGDIAL 2011 Conference
201161
5 201461
6 200861
7 201253
8 200453
9 201448
10 201543
11 202141
12 202441
13 200039
14 200537
15
Discourse Structure for Context Question Answering
200437
16 201435
17 202135
18 200534
19 200233
20 201231

About Joyce Chai

Joyce Chai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Human-Computer Interaction and Control and Systems Engineering, having authored 134 papers that have together received 2.2k indexed citations. Recurring topics across this work include Speech and dialogue systems (65 papers), Natural Language Processing Techniques (58 papers), Topic Modeling (56 papers), Multimodal Machine Learning Applications (22 papers), Semantic Web and Ontologies (14 papers), Multi-Agent Systems and Negotiation (9 papers), Neurobiology of Language and Bilingualism (8 papers) and Social Robot Interaction and HRI (8 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Human-Computer Interaction (195 citations), Computer Vision and Pattern Recognition (665 citations), Information Systems (414 citations) and Health Informatics (14 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, Alan W. Biermann, Pengyu Hong and Qiaozi Gao. Their work appears in journals such as AI Magazine, ACM Transactions on Interactive Intelligent Systems, Communications of the ACM, 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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