Hongjoong Kim
- Statistics, Probability and Uncertainty top 2%
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Statistics and Probability top 5%
- Control and Systems Engineering top 10%
- Co-authors
- Alexander G. TartakovskyB. L. RozovskiĭRudolf B. BlažekBouzid ChoubaneOkan ŞirinM Linder TiaY. KimWonjung Kim
- Topics
- Stochastic processes and financial applications (6 papers)Nonlinear Waves and Solitons (4 papers)Advanced Mathematical Physics Problems (4 papers)
- Cited by
- Statistics, Probability and UncertaintyStatistics and ProbabilityComputer Networks and Communications
- Partner nations
- South KoreaCanadaUnited States
In The Last Decade
Hongjoong Kim
32 papers receiving 494 citations
Peers
Comparison fields: 5 of 88
- Statistics, Probability and Uncertainty 161
- Computer Networks and Communications 145
- Artificial Intelligence 144
- Statistics and Probability 100
- Control and Systems Engineering 88
Countries citing papers authored by Hongjoong Kim
This map shows the geographic impact of Hongjoong 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 Hongjoong Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongjoong Kim more than expected).
Fields of papers citing papers by Hongjoong Kim
This network shows the impact of papers produced by Hongjoong 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 Hongjoong Kim. The network helps show where Hongjoong Kim may publish in the future.
Co-authorship network of co-authors of Hongjoong Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Hongjoong Kim. A scholar is included among the top collaborators of Hongjoong 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 Hongjoong Kim. Hongjoong 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 | 1 | |
| 2 | 16 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | A prediction methodology for the change of the values of financial products | 0 |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 10 | |
| 13 | The High Order WENO Scheme on the Adaptive Mesh | 0 |
| 14 | 10 | |
| 15 | ANALYTIC MODEL OF IEEE 802.15.4 Unslotted CSMA/CA | 1 |
| 16 | 4 | |
| 17 | 187 | |
| 18 | 2 | |
| 19 | Microbial DNA base composition(G+C mol%) and its taxonomic implications | 3 |
| 20 | Isoprenoid Quinone Profiles in Microbial Taxonomy | 5 |
About Hongjoong Kim
Hongjoong Kim is a scholar working on Statistics, Probability and Uncertainty, Finance and Mathematical Physics, having authored 36 papers that have together received 511 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (6 papers), Nonlinear Waves and Solitons (4 papers) and Advanced Mathematical Physics Problems (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (161 citations), Statistics and Probability (100 citations) and Computer Networks and Communications (145 citations). Hongjoong Kim has collaborated with scholars based in South Korea, Canada and United States. Frequent co-authors include Alexander G. Tartakovsky, B. L. Rozovskiĭ, Rudolf B. Blažek, Bouzid Choubane, Okan Şirin, M Linder Tia, Y. Kim, Wonjung Kim, Sung Wan Kang and Eun Kyung Choi. Their work appears in journals such as PLoS ONE, IEEE Transactions on Signal Processing and Construction and Building Materials.
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.