Tae Yano
Impact in
- General Social Sciences top 2%
- Computational and Text Analysis Methods
- Artificial Intelligence top 10%
- Topic Modeling
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Natural Language Processing Techniques
Papers in
-
- Topic Modeling 8
- Sentiment Analysis and Opinion Mining 3
- Natural Language Processing Techniques 3
- Hate Speech and Cyberbullying Detection 2
-
- Computational and Text Analysis Methods 4
- Co-authors
- Noah A. Smith (3 shared papers)William W. Cohen (2 shared papers)John Wilkerson (1 shared paper)Justin Cranshaw (1 shared paper)Daniel Preoțiuc-Pietro (1 shared paper)Patrick Pantel (2 shared papers)Michael Gamon (2 shared papers)Xinying Song (2 shared papers)
- Journals
- Language Resources and Evaluation (1 paper)Columbia Academic Commons (Columbia University) (1 paper)Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) (2 papers)Figshare (2 papers)DigitalCommons - WayneState (Wayne State University) (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Tae Yano
14 papers receiving 231 citations
Peers
Comparison fields: 5 of 49
- General Social Sciences 30
- Artificial Intelligence 170
- Statistical and Nonlinear Physics 59
- Communication 32
- Transportation 21
Countries citing papers authored by Tae Yano
This map shows the geographic impact of Tae Yano'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 Tae Yano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tae Yano more than expected).
Fields of papers citing papers by Tae Yano
This network shows the impact of papers produced by Tae Yano. 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 Tae Yano. The network helps show where Tae Yano may publish in the future.
Co-authors
The 18 scholars most cited alongside Tae Yano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 75 | |
| 2 | 2010 | 70 | |
| 3 | 2018 | 23 | |
| 4 | 2013 | 23 | |
| 5 | 2013 | 21 | |
| 6 | 2018 | 18 | |
| 7 | 2008 | 6 | |
| 8 | Understanding Document Aboutness Step One: Identifying Salient Entities | 2013 | 5 |
| 9 | 2008 | 4 | |
| 10 | Functional semantic categories for art history text: human labeling and preliminary machine learning | 2008 | 1 |
| 11 | 2018 | 1 | |
| 12 | 2021 | 1 | |
| 13 | Computational linguistics for metadata building: Aggregating text processing technologies for enhanced image access | 2008 | 1 |
| 14 | 2007 | 1 | |
| 15 | 2020 | 0 | |
| 16 | 2025 | 0 |
About Tae Yano
Tae Yano is a scholar working on Artificial Intelligence, General Social Sciences, Information Systems, Computer Vision and Pattern Recognition and Political Science and International Relations, having authored 16 papers that have together received 250 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Computational and Text Analysis Methods (4 papers), Sentiment Analysis and Opinion Mining (3 papers), Natural Language Processing Techniques (3 papers), Web Data Mining and Analysis (2 papers), Hate Speech and Cyberbullying Detection (2 papers), Information Retrieval and Search Behavior (2 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in General Social Sciences (30 citations), Artificial Intelligence (170 citations), Statistical and Nonlinear Physics (59 citations), Communication (32 citations) and Transportation (21 citations). Tae Yano has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Noah A. Smith, Noah A. Smith, William W. Cohen, John Wilkerson, Justin Cranshaw, Daniel Preoțiuc-Pietro, Patrick Pantel, Michael Gamon, Xinying Song and Johnson Apacible. Their work appears in journals such as Language Resources and Evaluation, Columbia Academic Commons (Columbia University), Research Showcase @ Carnegie Mellon University (Carnegie Mellon University), Figshare and DigitalCommons - WayneState (Wayne State University).
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.