Chinatsu Aone
- Artificial Intelligence top 1%
- Information Systems top 2%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Molecular Biology
- Co-authors
- Dmitry ZelenkoAnthony RichardellaScott BennettMary Ellen OkurowskiDouglas McKeeKent WittenburgJames A. BarnettInderjeet Mani
- Topics
- Natural Language Processing Techniques (21 papers)Topic Modeling (16 papers)Speech and dialogue systems (8 papers)
- Journals
- Journal of General Internal MedicineEmpirical Methods in Natural Language ProcessingMIT Press eBooks
- Partner nations
- United States
In The Last Decade
Chinatsu Aone
25 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 1.2k
- Information Systems 326
- Computer Vision and Pattern Recognition 163
- Signal Processing 142
- Molecular Biology 139
Countries citing papers authored by Chinatsu Aone
This map shows the geographic impact of Chinatsu Aone'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 Chinatsu Aone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chinatsu Aone more than expected).
Fields of papers citing papers by Chinatsu Aone
This network shows the impact of papers produced by Chinatsu Aone. 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 Chinatsu Aone. The network helps show where Chinatsu Aone may publish in the future.
Co-authorship network of co-authors of Chinatsu Aone
This figure shows the co-authorship network connecting the top 25 collaborators of Chinatsu Aone. A scholar is included among the top collaborators of Chinatsu Aone based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chinatsu Aone. Chinatsu Aone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Coreference Resolution for Information Extraction | 11 |
| 2 | Assentor®: An NLP-Based Solution to E-mail Monitoring | 5 |
| 3 | 71 | |
| 4 | Fast and effective text mining using linear-time document clusteringbreakdown → | 558 |
| 5 | 34 | |
| 6 | 13 | |
| 7 | Learning to Tag Multilingual Texts Through Observation | 34 |
| 8 | Reuse of a Proper Noun Recognition System in Commercial and Operational NLP Applications | 1 |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 110 | |
| 13 | A Hybrid Approach to Multilingual Text Processing: Information Extraction and Machine Translation. | 5 |
| 14 | 2 | |
| 15 | Acquiring Predicate-Argument Mapping Information from Multilingual Texts | 6 |
| 16 | 6 | |
| 17 | 17 | |
| 18 | Treatment of plurals and collective-distributive ambiguity in natural language understanding | 0 |
| 19 | 1 | |
| 20 | 6 |
About Chinatsu Aone
Chinatsu Aone is a scholar working on Artificial Intelligence, Information Systems and Language and Linguistics, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (21 papers), Topic Modeling (16 papers) and Speech and dialogue systems (8 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Information Systems (326 citations) and Signal Processing (142 citations). Chinatsu Aone has collaborated with scholars based in United States. Frequent co-authors include Dmitry Zelenko, Anthony Richardella, Scott Bennett, Mary Ellen Okurowski, Douglas McKee, Kent Wittenburg, James A. Barnett, Inderjeet Mani, Kevin Knight and Paul Krause. Their work appears in journals such as Journal of General Internal Medicine, Empirical Methods in Natural Language Processing and MIT Press eBooks.
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.