Jun Araki
Impact in
- Fuel Technology top 5%
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Semantic Web and Ontologies
Papers in
-
- Topic Modeling 18
- Natural Language Processing Techniques 16
- Semantic Web and Ontologies 3
- Text Readability and Simplification 3
- Text and Document Classification Technologies 2
- Advanced Graph Neural Networks 2
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- Biomedical Text Mining and Ontologies 3
- Co-authors
- Teruko Mitamura (13 shared papers)Haibo Ding (3 shared papers)Zhengbao Jiang (2 shared papers)Graham Neubig (2 shared papers)Eduard Hovy (7 shared papers)Zhengzhong Liu (5 shared papers)Taisuke Maki (2 shared papers)Kouichi Miura (2 shared papers)
- Journals
- Theory and applications of categories (2 papers)Language Resources and Evaluation (2 papers)Chemistry Letters (1 paper)Energy & Fuels (1 paper)Transactions of the Association for Computational Linguistics (1 paper)
- Partner nations
- United StatesJapanQatar
In The Last Decade
Jun Araki
22 papers receiving 435 citations
Peers
Comparison fields: 5 of 69
- Fuel Technology 18
- Artificial Intelligence 342
- Health Informatics 7
- Geochemistry and Petrology 25
- Management Science and Operations Research 41
Countries citing papers authored by Jun Araki
This map shows the geographic impact of Jun Araki'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 Jun Araki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Araki more than expected).
Fields of papers citing papers by Jun Araki
This network shows the impact of papers produced by Jun Araki. 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 Jun Araki. The network helps show where Jun Araki may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Araki, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 93 | |
| 2 | 1997 | 71 | |
| 3 | 2020 | 51 | |
| 4 | Supervised Within-Document Event Coreference using Information Propagation | 2014 | 42 |
| 5 | Events are Not Simple: Identity, Non-Identity, and Quasi-Identity | 2013 | 41 |
| 6 | Generating Questions and Multiple-Choice Answers using Semantic Analysis of Texts. | 2016 | 32 |
| 7 | 2015 | 31 | |
| 8 | Detecting Subevent Structure for Event Coreference Resolution | 2014 | 29 |
| 9 | 1995 | 19 | |
| 10 | Open-Domain Event Detection using Distant Supervision | 2018 | 18 |
| 11 | 2021 | 7 | |
| 12 | Interoperable Annotation of Events and Event Relations across Domains | 2018 | 6 |
| 13 | 2014 | 5 | |
| 14 | CMU-LTI at KBP 2016 Event Nugget Track. | 2016 | 3 |
| 15 | 2023 | 3 | |
| 16 | 2018 | 3 | |
| 17 | CMU Multiple-choice Question Answering System at NTCIR-11 QA-Lab | 2014 | 2 |
| 18 | 2014 | 2 | |
| 19 | 1995 | 2 | |
| 20 | 2018 | 1 |
About Jun Araki
Jun Araki is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Computer Vision and Pattern Recognition and Materials Chemistry, having authored 25 papers that have together received 463 indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Natural Language Processing Techniques (16 papers), Semantic Web and Ontologies (3 papers), Biomedical Text Mining and Ontologies (3 papers), Text Readability and Simplification (3 papers), Multimodal Machine Learning Applications (2 papers), Text and Document Classification Technologies (2 papers) and Advanced Graph Neural Networks (2 papers). The work is most often cited by research in Fuel Technology (18 citations), Artificial Intelligence (342 citations), Health Informatics (7 citations), Geochemistry and Petrology (25 citations) and Management Science and Operations Research (41 citations). Jun Araki has collaborated with scholars based in United States, Japan and Qatar. Frequent co-authors include Teruko Mitamura, Haibo Ding, Zhengbao Jiang, Graham Neubig, Eduard Hovy, Zhengzhong Liu, Taisuke Maki, Kouichi Miura, Kazuhiro Mae and Antonios Anastasopoulos. Their work appears in journals such as Theory and applications of categories, Language Resources and Evaluation, Chemistry Letters, Energy & Fuels and Transactions of the Association for Computational Linguistics.
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.