Youngchoon Park
Impact in
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- Data Quality and Management
- Artificial Intelligence top 5%
- Topic Modeling
- Privacy-Preserving Technologies in Data
- Semantic Web and Ontologies
- Advanced Graph Neural Networks
Papers in
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- Advanced Image and Video Retrieval Techniques 6
- Image Retrieval and Classification Techniques 6
- Video Analysis and Summarization 3
- Video Surveillance and Tracking Methods 2
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- Topic Modeling 3
- Semantic Web and Ontologies 2
- Co-authors
- AnHai Doan (5 shared papers)Ganesh Krishnan (3 shared papers)Esteban Arcaute (2 shared papers)Sidharth Mudgal (2 shared papers)Han Li (1 shared paper)Theodoros Rekatsinas (1 shared paper)Forouzan Golshani (5 shared papers)Paul Suganthan (2 shared papers)
- Journals
- Multimedia Tools and Applications (1 paper)Nurse Education Today (1 paper)Journal of Intelligent & Robotic Systems (1 paper)Proceedings of the VLDB Endowment (1 paper)Movebank (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Youngchoon Park
16 papers receiving 440 citations
Youngchoon Park's Hit Papers
Peers
Comparison fields: 5 of 69
- Management Science and Operations Research 314
- Artificial Intelligence 327
- Information Systems 118
- Signal Processing 37
- Computer Vision and Pattern Recognition 63
Countries citing papers authored by Youngchoon Park
This map shows the geographic impact of Youngchoon Park'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 Youngchoon Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youngchoon Park more than expected).
Fields of papers citing papers by Youngchoon Park
This network shows the impact of papers produced by Youngchoon Park. 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 Youngchoon Park. The network helps show where Youngchoon Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Youngchoon Park, 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 | Deep Learning for Entity Matching Hit paper breakdown → | 2018 | 290 |
| 2 | 2017 | 64 | |
| 3 | 2019 | 20 | |
| 4 | 2009 | 20 | |
| 5 | 2017 | 13 | |
| 6 | 2019 | 13 | |
| 7 | 2004 | 11 | |
| 8 | 2018 | 10 | |
| 9 | 2018 | 9 | |
| 10 | 1999 | 7 | |
| 11 | 2010 | 7 | |
| 12 | 1997 | 4 | |
| 13 | 1998 | 3 | |
| 14 | A framework for description, sharing and retrieval of semantic visual information | 2002 | 2 |
| 15 | 1998 | 1 | |
| 16 | 2000 | 1 | |
| 17 | The Measurement of Pedestrian Speed in Central Business District | 2003 | 0 |
| 18 | 2000 | 0 | |
| 19 | 2000 | 0 |
About Youngchoon Park
Youngchoon Park is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Management Science and Operations Research, Signal Processing and Management Information Systems, having authored 19 papers that have together received 475 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (6 papers), Image Retrieval and Classification Techniques (6 papers), Data Quality and Management (5 papers), Topic Modeling (3 papers), Video Analysis and Summarization (3 papers), Music and Audio Processing (2 papers), Semantic Web and Ontologies (2 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Management Science and Operations Research (314 citations), Artificial Intelligence (327 citations), Information Systems (118 citations), Signal Processing (37 citations) and Computer Vision and Pattern Recognition (63 citations). Youngchoon Park has collaborated with scholars based in United States and South Korea. Frequent co-authors include AnHai Doan, Ganesh Krishnan, Esteban Arcaute, Sidharth Mudgal, Han Li, Theodoros Rekatsinas, Forouzan Golshani, Paul Suganthan, Sanjib Das and Jeffrey F. Naughton. Their work appears in journals such as Multimedia Tools and Applications, Nurse Education Today, Journal of Intelligent & Robotic Systems, Proceedings of the VLDB Endowment and Movebank.
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.