Seungwhan Moon
- Artificial Intelligence top 2%
- Topic Modeling 17
- Speech and dialogue systems 10
- Natural Language Processing Techniques 8
- Advanced Graph Neural Networks 3
- Domain Adaptation and Few-Shot Learning 3
- Machine Learning and Algorithms 2
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- Multimodal Machine Learning Applications 13
- Advanced Image and Video Retrieval Techniques 4
- Information Systems top 10%
- Co-authors
- Rajen SubbaPararth ShahAnuj KumarVı́tor CarvalhoLeonardo NevesGunhee KimLeonid SigalAndrea Madotto
- Partner nations
- United StatesIsraelSouth Korea
In The Last Decade
Seungwhan Moon
31 papers receiving 576 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 503
- Computer Vision and Pattern Recognition 218
- Information Systems 77
- Experimental and Cognitive Psychology 43
- Computer Science Applications 15
Countries citing papers authored by Seungwhan Moon
This map shows the geographic impact of Seungwhan Moon'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 Seungwhan Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seungwhan Moon more than expected).
Fields of papers citing papers by Seungwhan Moon
This network shows the impact of papers produced by Seungwhan Moon. 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 Seungwhan Moon. The network helps show where Seungwhan Moon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Seungwhan Moon, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 14 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 0 | |
| 9 | 2022 | 6 | |
| 10 | 2021 | 6 | |
| 11 | 2021 | 48 | |
| 12 | 2021 | 1 | |
| 13 | 2021 | 22 | |
| 14 | 2020 | 26 | |
| 15 | 2019 | 176 | |
| 16 | 2018 | 49 | |
| 17 | 2017 | 4 | |
| 18 | 2016 | 15 | |
| 19 | 2015 | 21 | |
| 20 | 2014 | 18 |
About Seungwhan Moon
Seungwhan Moon is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 33 papers that have together received 602 indexed citations. Recurring topics across this work include Topic Modeling (17 papers), Multimodal Machine Learning Applications (13 papers), Speech and dialogue systems (10 papers), Natural Language Processing Techniques (8 papers), Advanced Image and Video Retrieval Techniques (4 papers), Advanced Graph Neural Networks (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in Artificial Intelligence (503 citations), Computer Vision and Pattern Recognition (218 citations) and Information Systems (77 citations). Seungwhan Moon has collaborated with scholars based in United States, Israel and South Korea. Frequent co-authors include Rajen Subba, Pararth Shah, Anuj Kumar, Vı́tor Carvalho, Leonardo Neves, Gunhee Kim, Leonid Sigal, Andrea Madotto, Paul Crook and Jaime Carbonell.
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.