Jason Jo
Impact in
- Artificial Intelligence top 10%
- Adversarial Robustness in Machine Learning
- Topic Modeling
- Natural Language Processing Techniques
Papers in
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- Natural Language Processing Techniques 2
- Topic Modeling 2
- Machine Learning and Algorithms 1
- Adversarial Robustness in Machine Learning 1
- Reinforcement Learning in Robotics 1
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- Multimodal Machine Learning Applications 2
- Advanced Neural Network Applications 1
Jason Jo
4 papers receiving 181 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 92
- Software 7
- Control and Systems Engineering 42
- Industrial and Manufacturing Engineering 17
- Computational Theory and Mathematics 24
Countries citing papers authored by Jason Jo
This map shows the geographic impact of Jason Jo'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 Jason Jo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Jo more than expected).
Fields of papers citing papers by Jason Jo
This network shows the impact of papers produced by Jason Jo. 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 Jason Jo. The network helps show where Jason Jo may publish in the future.
Co-authors
The 5 scholars most cited alongside Jason Jo, 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 | 2018 | 138 | |
| 2 | 2021 | 32 | |
| 3 | 2020 | 11 | |
| 4 | Systematicity in a Recurrent Neural Network by Factorizing Syntax and Semantics. | 2020 | 4 |
About Jason Jo
Jason Jo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Infectious Diseases and Organic Chemistry, having authored 4 papers that have together received 185 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers), Multimodal Machine Learning Applications (2 papers), Machine Learning and Algorithms (1 paper), Adversarial Robustness in Machine Learning (1 paper), Vehicle Routing Optimization Methods (1 paper), Reinforcement Learning in Robotics (1 paper) and Advanced Neural Network Applications (1 paper). The work is most often cited by research in Artificial Intelligence (92 citations), Software (7 citations), Control and Systems Engineering (42 citations), Industrial and Manufacturing Engineering (17 citations) and Computational Theory and Mathematics (24 citations). Jason Jo has collaborated with scholars based in Canada, Algeria and Italy. Frequent co-authors include Matteo Fischetti, Yoshua Bengio, Giulia Zarpellon, Andrea Lodi and Randall C. O’Reilly. Their work appears in journals such as Constraints and Cognitive Science.
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.