Hyon‐Jung Kim
- Economics and Econometrics top 5%
- Environmental Engineering top 10%
- Statistics and Probability top 5%
- Global and Planetary Change
- Artificial Intelligence
- Co-authors
- Alan E. GelfandSudipto BanerjeeC. F. SirmansJohn M. ClappEsa OllilaErkki TomppoVisa KoivunenV. Koivunen
- Topics
- Sparse and Compressive Sensing Techniques (6 papers)Tensor decomposition and applications (5 papers)Blind Source Separation Techniques (5 papers)
- Journals
- Journal of the American Statistical AssociationRemote Sensing of EnvironmentIEEE Transactions on Signal Processing
- Partner nations
- FinlandUnited StatesBelgium
In The Last Decade
Hyon‐Jung Kim
14 papers receiving 559 citations
Peers
Comparison fields: 5 of 95
- Economics and Econometrics 289
- Environmental Engineering 136
- Statistics and Probability 102
- Global and Planetary Change 88
- Artificial Intelligence 51
Countries citing papers authored by Hyon‐Jung Kim
This map shows the geographic impact of Hyon‐Jung 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 Hyon‐Jung Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyon‐Jung Kim more than expected).
Fields of papers citing papers by Hyon‐Jung Kim
This network shows the impact of papers produced by Hyon‐Jung 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 Hyon‐Jung Kim. The network helps show where Hyon‐Jung Kim may publish in the future.
Co-authorship network of co-authors of Hyon‐Jung Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Hyon‐Jung Kim. A scholar is included among the top collaborators of Hyon‐Jung Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hyon‐Jung Kim. Hyon‐Jung Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 3 | |
| 4 | 10 | |
| 5 | Robust iteratively reweighted LASSO estimation for sparse tensor factorizations | 1 |
| 6 | 7 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 17 | |
| 10 | 24 | |
| 11 | 35 | |
| 12 | Dynamic Analysis of Tunnel Structures Considering Soil-Structure Interaction | 0 |
| 13 | 6 | |
| 14 | 403 | |
| 15 | 59 | |
| 16 | 7 |
About Hyon‐Jung Kim
Hyon‐Jung Kim is a scholar working on Computational Mathematics, General Engineering and Signal Processing, having authored 16 papers that have together received 592 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (6 papers), Tensor decomposition and applications (5 papers) and Blind Source Separation Techniques (5 papers). The work is most often cited by research in Computational Mathematics (12 citations), Statistics and Probability (102 citations) and Economics and Econometrics (289 citations). Hyon‐Jung Kim has collaborated with scholars based in Finland, United States and Belgium. Frequent co-authors include Alan E. Gelfand, Sudipto Banerjee, C. F. Sirmans, John M. Clapp, Esa Ollila, Erkki Tomppo, Visa Koivunen, V. Koivunen, Karri Seppä and Timo Hakulinen. Their work appears in journals such as Journal of the American Statistical Association, Remote Sensing of Environment and IEEE Transactions on Signal Processing.
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.