Sungdong Kim
- Artificial Intelligence top 10%
- Topic Modeling 15
- Natural Language Processing Techniques 12
- Speech and dialogue systems 4
- AI in Service Interactions 2
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- Force Microscopy Techniques and Applications 2
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- Multimodal Machine Learning Applications 3
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- Electronic Packaging and Soldering Technologies 2
- 3D IC and TSV technologies 2
- Co-authors
- Hongsik ParkHyunjung ShinSeungbum HongJuhwan JungYoung‐Ho KimSang-Woo LeeDonghyun KwakMinsuk Chang
- Journals
- Applied Physics Letters (1 paper)Japanese Journal of Applied Physics (1 paper)Journal of Nanoscience and Nanotechnology (1 paper)
- Partner nations
- South KoreaCanadaAustralia
In The Last Decade
Sungdong Kim
21 papers receiving 215 citations
Peers
Comparison fields: 5 of 54
- Health Informatics 10
- Artificial Intelligence 111
- Human-Computer Interaction 18
- Applied Psychology 14
- Atomic and Molecular Physics, and Optics 44
Countries citing papers authored by Sungdong Kim
This map shows the geographic impact of Sungdong Kim'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 Sungdong Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungdong Kim more than expected).
Fields of papers citing papers by Sungdong Kim
This network shows the impact of papers produced by Sungdong Kim. 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 Sungdong Kim. The network helps show where Sungdong Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sungdong Kim, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 33 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 14 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 13 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 14 | |
| 12 | 2022 | 3 | |
| 13 | 2022 | 15 | |
| 14 | 2022 | 19 | |
| 15 | 2019 | 7 | |
| 16 | 2013 | 1 | |
| 17 | 2012 | 1 | |
| 18 | Intra-Sentence Segmentation using Maximum Entropy Model for Efficient Parsing of English Sentences | 2005 | 1 |
| 19 | AR over MPEG-2 TS | 2005 | 2 |
| 20 | 2004 | 57 |
About Sungdong Kim
Sungdong Kim is a scholar working on Artificial Intelligence, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 221 indexed citations. Recurring topics across this work include Topic Modeling (15 papers), Natural Language Processing Techniques (12 papers), Speech and dialogue systems (4 papers), Multimodal Machine Learning Applications (3 papers), Force Microscopy Techniques and Applications (2 papers), AI in Service Interactions (2 papers), Electronic Packaging and Soldering Technologies (2 papers) and 3D IC and TSV technologies (2 papers). The work is most often cited by research in Health Informatics (10 citations), Artificial Intelligence (111 citations) and Human-Computer Interaction (18 citations). Sungdong Kim has collaborated with scholars based in South Korea, Canada and Australia. Frequent co-authors include Hongsik Park, Hyunjung Shin, Seungbum Hong, Juhwan Jung, Young‐Ho Kim, Sang-Woo Lee, Donghyun Kwak, Minsuk Chang, Sang‐Woo Lee and Juho Kim. Their work appears in journals such as Applied Physics Letters, Japanese Journal of Applied Physics and Journal of Nanoscience and Nanotechnology.
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.