U Kang
Impact in
- Computational Mathematics top 0.1%
- Tensor decomposition and applications
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques
Papers in
-
- Advanced Graph Neural Networks 44
- Topic Modeling 10
- Domain Adaptation and Few-Shot Learning 10
-
- Graph Theory and Algorithms 47
- Co-authors
- Christos Faloutsos (28 shared papers)Charalampos E. Tsourakakis (5 shared papers)K.D. Wise (3 shared papers)Yongsub Lim (9 shared papers)Evangelos E. Papalexakis (5 shared papers)Lee Sael (12 shared papers)Jinhong Jung (12 shared papers)Hanghang Tong (6 shared papers)
- Journals
- PLoS ONE (16 papers)Knowledge and Information Systems (7 papers)ACM Transactions on Knowledge Discovery from Data (7 papers)The VLDB Journal (3 papers)IEEE Transactions on Knowledge and Data Engineering (3 papers)
- Partner nations
- South KoreaUnited StatesItaly
In The Last Decade
U Kang
151 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Computational Mathematics 523
- Statistical and Nonlinear Physics 1.0k
- Computer Vision and Pattern Recognition 1.5k
- Artificial Intelligence 1.9k
- Hardware and Architecture 337
Countries citing papers authored by U Kang
This map shows the geographic impact of U Kang'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 U Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites U Kang more than expected).
Fields of papers citing papers by U Kang
This network shows the impact of papers produced by U Kang. 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 U Kang. The network helps show where U Kang may publish in the future.
Co-authors
The 25 scholars most cited alongside U Kang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 161 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PEGASUS: A Peta-Scale Graph Mining System Implementation and Observations Hit paper breakdown → | 2009 | 426 |
| 2 | 2009 | 185 | |
| 3 | 2000 | 184 | |
| 4 | 2012 | 184 | |
| 5 | 2011 | 106 | |
| 6 | 2010 | 95 | |
| 7 | 2014 | 95 | |
| 8 | 2015 | 92 | |
| 9 | 2011 | 87 | |
| 10 | 2011 | 83 | |
| 11 | 2011 | 79 | |
| 12 | 2014 | 79 | |
| 13 | 2018 | 79 | |
| 14 | 2021 | 78 | |
| 15 | 2011 | 70 | |
| 16 | 2012 | 64 | |
| 17 | 2015 | 62 | |
| 18 | 2015 | 54 | |
| 19 | 2016 | 51 | |
| 20 | 2021 | 48 |
About U Kang
U Kang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Information Systems and Computational Mathematics, having authored 161 papers that have together received 3.8k indexed citations. Recurring topics across this work include Graph Theory and Algorithms (47 papers), Advanced Graph Neural Networks (44 papers), Complex Network Analysis Techniques (44 papers), Tensor decomposition and applications (25 papers), Data Management and Algorithms (13 papers), Parallel Computing and Optimization Techniques (12 papers), Topic Modeling (10 papers) and Domain Adaptation and Few-Shot Learning (10 papers). The work is most often cited by research in Computational Mathematics (523 citations), Statistical and Nonlinear Physics (1.0k citations), Computer Vision and Pattern Recognition (1.5k citations), Artificial Intelligence (1.9k citations) and Hardware and Architecture (337 citations). U Kang has collaborated with scholars based in South Korea, United States and Italy. Frequent co-authors include Christos Faloutsos, Charalampos E. Tsourakakis, K.D. Wise, Yongsub Lim, Evangelos E. Papalexakis, Lee Sael, Jinhong Jung, Hanghang Tong, Jimeng Sun and Jaemin Yoo. Their work appears in journals such as PLoS ONE, Knowledge and Information Systems, ACM Transactions on Knowledge Discovery from Data, The VLDB Journal and IEEE Transactions on Knowledge and Data Engineering.
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.