Joohyung Lee
- Artificial Intelligence top 5%
- Logic, Reasoning, and Knowledge 30
- Multi-Agent Systems and Negotiation 22
- Logic, programming, and type systems 18
- Semantic Web and Ontologies 9
- Bayesian Modeling and Causal Inference 3
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- Radiomics and Machine Learning in Medical Imaging 6
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- Formal Methods in Verification 4
- Advanced Algebra and Logic 2
- Co-authors
- Vladimir LifschitzPaolo FerrarisDae Kyung SohnJi Eun OhBo Yun HurHee Jin ChangRoberta PallaMin Ju Kim
- Cited by
- Artificial IntelligenceRadiology, Nuclear Medicine and ImagingComputational Theory and Mathematics
- Journals
- IEEE Access (1 paper)Artificial Intelligence (3 papers)Journal of Artificial Intelligence Research (1 paper)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Joohyung Lee
34 papers receiving 491 citations
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 434
- Radiology, Nuclear Medicine and Imaging 122
- Computational Theory and Mathematics 52
- Health Informatics 4
- Oncology 75
Countries citing papers authored by Joohyung Lee
This map shows the geographic impact of Joohyung Lee'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 Joohyung Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joohyung Lee more than expected).
Fields of papers citing papers by Joohyung Lee
This network shows the impact of papers produced by Joohyung Lee. 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 Joohyung Lee. The network helps show where Joohyung Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joohyung Lee, 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 | 2021 | 0 | |
| 2 | Multi-Task Learning with a Fully Convolutional Network for Rectum and Rectal Cancer Segmentation. | 2019 | 1 |
| 3 | 2019 | 4 | |
| 4 | 2019 | 57 | |
| 5 | Weight learning in a probabilistic extension of answer set programs | 2018 | 3 |
| 6 | 2018 | 46 | |
| 7 | A Probabilistic Extension of the Stable Model Semantics | 2015 | 16 |
| 8 | Markov Logic Style Weighted Rules under the Stable Model Semantics. | 2015 | 6 |
| 9 | Stable models of formulas with intensional functions | 2012 | 11 |
| 10 | 2012 | 19 | |
| 11 | 2012 | 11 | |
| 12 | 2011 | 12 | |
| 13 | First-Order Semantics of Aggregates in Answer Set Programming Via Modified Circumscription | 2011 | 4 |
| 14 | Integrating rules and ontologies in the first-order stable model semantics | 2011 | 3 |
| 15 | 2010 | 97 | |
| 16 | A reductive semantics for counting and choice in answer set programming | 2008 | 22 |
| 17 | A new perspective on stable models | 2007 | 56 |
| 18 | A Knowledge Module: Buying and Selling. | 2006 | 2 |
| 19 | 2005 | 1 | |
| 20 | A model-theoretic counterpart of loop formulas | 2005 | 39 |
About Joohyung Lee
Joohyung Lee is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 38 papers that have together received 519 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (30 papers), Multi-Agent Systems and Negotiation (22 papers), Logic, programming, and type systems (18 papers), Semantic Web and Ontologies (9 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Formal Methods in Verification (4 papers), Bayesian Modeling and Causal Inference (3 papers) and Advanced Algebra and Logic (2 papers). The work is most often cited by research in Artificial Intelligence (434 citations), Radiology, Nuclear Medicine and Imaging (122 citations) and Computational Theory and Mathematics (52 citations). Joohyung Lee has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Vladimir Lifschitz, Paolo Ferraris, Dae Kyung Sohn, Ji Eun Oh, Bo Yun Hur, Hee Jin Chang, Roberta Palla, Min Ju Kim, Hong‐Jun Yoon and Seonhye Lee. Their work appears in journals such as IEEE Access, Artificial Intelligence and Journal of Artificial Intelligence Research.
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.