Grace Chung
Impact in
- Artificial Intelligence top 5%
- Speech and dialogue systems
- Topic Modeling
- Natural Language Processing Techniques
- Speech Recognition and Synthesis
- Psychiatry and Mental health top 10%
- Epilepsy research and treatment
Papers in
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- Speech and dialogue systems 13
- Topic Modeling 13
- Natural Language Processing Techniques 12
- Speech Recognition and Synthesis 5
- Multi-Agent Systems and Negotiation 4
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- Biomedical Text Mining and Ontologies 4
- Co-authors
- Stephanie Seneff (12 shared papers)Cristina Richichi (2 shared papers)Céline Dubé (1 shared paper)Tallie Z. Baram (1 shared paper)Roland A. Bender (1 shared paper)Brian Litt (1 shared paper)Gerard Ellis (1 shared paper)Casey Whitelaw (1 shared paper)
- Journals
- BMC Medical Informatics and Decision Making (2 papers)Stem Cells (1 paper)British Journal of Haematology (1 paper)Journal of Telemedicine and Telecare (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United StatesAustraliaDenmark
In The Last Decade
Grace Chung
28 papers receiving 651 citations
Peers
Comparison fields: 5 of 97
- Artificial Intelligence 386
- Psychiatry and Mental health 146
- Cellular and Molecular Neuroscience 170
- Developmental Neuroscience 20
- Pediatrics, Perinatology and Child Health 91
Countries citing papers authored by Grace Chung
This map shows the geographic impact of Grace 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 Grace Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grace Chung more than expected).
Fields of papers citing papers by Grace Chung
This network shows the impact of papers produced by Grace 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 Grace Chung. The network helps show where Grace Chung may publish in the future.
Co-authors
The 25 scholars most cited alongside Grace Chung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 224 | |
| 2 | 2009 | 85 | |
| 3 | 2009 | 56 | |
| 4 | 2004 | 53 | |
| 5 | 2003 | 37 | |
| 6 | 1994 | 34 | |
| 7 | 2004 | 32 | |
| 8 | 1993 | 25 | |
| 9 | 2003 | 23 | |
| 10 | 2009 | 21 | |
| 11 | 2008 | 21 | |
| 12 | 2015 | 17 | |
| 13 | 2007 | 15 | |
| 14 | 2004 | 13 | |
| 15 | 2005 | 12 | |
| 16 | 1998 | 12 | |
| 17 | 1997 | 11 | |
| 18 | 2002 | 9 | |
| 19 | 2000 | 8 | |
| 20 | 1999 | 7 |
About Grace Chung
Grace Chung is a scholar working on Artificial Intelligence, Molecular Biology, Signal Processing, Experimental and Cognitive Psychology and Dermatology, having authored 30 papers that have together received 744 indexed citations. Recurring topics across this work include Speech and dialogue systems (13 papers), Topic Modeling (13 papers), Natural Language Processing Techniques (12 papers), Speech Recognition and Synthesis (5 papers), Biomedical Text Mining and Ontologies (4 papers), Multi-Agent Systems and Negotiation (4 papers), Phonetics and Phonology Research (3 papers) and Speech and Audio Processing (3 papers). The work is most often cited by research in Artificial Intelligence (386 citations), Psychiatry and Mental health (146 citations), Cellular and Molecular Neuroscience (170 citations), Developmental Neuroscience (20 citations) and Pediatrics, Perinatology and Child Health (91 citations). Grace Chung has collaborated with scholars based in United States, Australia and Denmark. Frequent co-authors include Stephanie Seneff, Cristina Richichi, Céline Dubé, Tallie Z. Baram, Roland A. Bender, Brian Litt, Gerard Ellis, Casey Whitelaw, Ben Hutchinson and Chao Wang. Their work appears in journals such as BMC Medical Informatics and Decision Making, Stem Cells, British Journal of Haematology, Journal of Telemedicine and Telecare and BMC Bioinformatics.
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.