Yongsub Lim
Impact in
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- Complex Network Analysis Techniques
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- Graph Theory and Algorithms
Papers in
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- Graph Theory and Algorithms 4
- Advanced Neural Network Applications 1
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- Complex Network Analysis Techniques 6
- Co-authors
- U Kang (9 shared papers)Christos Faloutsos (1 shared paper)Minsoo Jung (2 shared papers)Ho‐Jin Choi (2 shared papers)A. S. Yoon (1 shared paper)Byungchan Kim (1 shared paper)Ki‐Hyun Kim (1 shared paper)Sangwoo Shim (1 shared paper)
- Journals
- World Wide Web (1 paper)Data Mining and Knowledge Discovery (1 paper)ACM Transactions on Knowledge Discovery from Data (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Access (1 paper)
- Partner nations
- South KoreaUnited KingdomPuerto Rico
In The Last Decade
Yongsub Lim
15 papers receiving 284 citations
Peers
Comparison fields: 5 of 51
- Statistical and Nonlinear Physics 102
- Computer Vision and Pattern Recognition 121
- Signal Processing 58
- Artificial Intelligence 153
- Computer Networks and Communications 96
Countries citing papers authored by Yongsub Lim
This map shows the geographic impact of Yongsub Lim'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 Yongsub Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yongsub Lim more than expected).
Fields of papers citing papers by Yongsub Lim
This network shows the impact of papers produced by Yongsub Lim. 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 Yongsub Lim. The network helps show where Yongsub Lim may publish in the future.
Co-authors
The 17 scholars most cited alongside Yongsub Lim, 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 | 2014 | 95 | |
| 2 | 2015 | 62 | |
| 3 | RaPP: Novelty Detection with Reconstruction along Projection Pathway | 2020 | 26 |
| 4 | 2018 | 20 | |
| 5 | 2019 | 13 | |
| 6 | 2017 | 13 | |
| 7 | 2015 | 12 | |
| 8 | 2022 | 9 | |
| 9 | 2019 | 8 | |
| 10 | 2016 | 8 | |
| 11 | 2011 | 7 | |
| 12 | 2014 | 7 | |
| 13 | 2014 | 6 | |
| 14 | Centrality Fairness: Measuring and Analyzing Structural Inequality of Online Social Network | 2017 | 1 |
| 15 | 2013 | 1 |
About Yongsub Lim
Yongsub Lim is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Artificial Intelligence, Computer Networks and Communications and Signal Processing, having authored 15 papers that have together received 288 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (6 papers), Graph Theory and Algorithms (4 papers), Advanced Graph Neural Networks (4 papers), Data Management and Algorithms (3 papers), Advanced Database Systems and Queries (2 papers), Topological and Geometric Data Analysis (2 papers), Advanced Neural Network Applications (1 paper) and Electric Vehicles and Infrastructure (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (102 citations), Computer Vision and Pattern Recognition (121 citations), Signal Processing (58 citations), Artificial Intelligence (153 citations) and Computer Networks and Communications (96 citations). Yongsub Lim has collaborated with scholars based in South Korea, United Kingdom and Puerto Rico. Frequent co-authors include U Kang, Christos Faloutsos, Minsoo Jung, Ho‐Jin Choi, A. S. Yoon, Byungchan Kim, Ki‐Hyun Kim, Sangwoo Shim, Kyomin Jung and Pushmeet Kohli. Their work appears in journals such as World Wide Web, Data Mining and Knowledge Discovery, ACM Transactions on Knowledge Discovery from Data, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.
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.