Soo Hak Sung
- Management Science and Operations Research top 0.5%
- Building and Construction top 1%
- Statistics and Probability top 1%
- Biomedical Engineering top 10%
- Pollution top 5%
- Co-authors
- Wen‐Hsing ChenSheng ChenPingyan ChenTao LiuAndrei VolodinBong Dae ChoiLutgarde RaskinMaohong Fan
- Topics
- Probability and Risk Models (85 papers)Stochastic processes and statistical mechanics (45 papers)Random Matrices and Applications (22 papers)
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityBuilding and Construction
- Partner nations
- South KoreaChinaUnited States
In The Last Decade
Soo Hak Sung
109 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 96
- Management Science and Operations Research 794
- Building and Construction 585
- Statistics and Probability 434
- Biomedical Engineering 363
- Pollution 328
Countries citing papers authored by Soo Hak Sung
This map shows the geographic impact of Soo Hak Sung'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 Soo Hak Sung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soo Hak Sung more than expected).
Fields of papers citing papers by Soo Hak Sung
This network shows the impact of papers produced by Soo Hak Sung. 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 Soo Hak Sung. The network helps show where Soo Hak Sung may publish in the future.
Co-authorship network of co-authors of Soo Hak Sung
This figure shows the co-authorship network connecting the top 25 collaborators of Soo Hak Sung. A scholar is included among the top collaborators of Soo Hak Sung 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 Soo Hak Sung. Soo Hak Sung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 35 | |
| 5 | 17 | |
| 6 | 12 | |
| 7 | 18 | |
| 8 | 41 | |
| 9 | 3 | |
| 10 | Strong limit theorems for partial sums of a random sequence | 1 |
| 11 | 98 | |
| 12 | 8 | |
| 13 | 165 | |
| 14 | ON THE WEAK LAW FOR RANDOMLY INDEXED PARTIAL SUMS FOR ARRAYS | 0 |
| 15 | 9 | |
| 16 | Again on the weak law in martingale type p Banach spaces | 2 |
| 17 | 1 | |
| 18 | Almost sure convergence for weighted sums of I.I.D. random variables (II) | 9 |
| 19 | ON CHUNGS STRONG LAW OF LARGE NUMBERS IN GENERAL BANACH SPACES | 4 |
| 20 | 10 |
About Soo Hak Sung
Soo Hak Sung is a scholar working on Management Science and Operations Research, Mathematical Physics and Statistics and Probability, having authored 112 papers that have together received 1.9k indexed citations. Recurring topics across this work include Probability and Risk Models (85 papers), Stochastic processes and statistical mechanics (45 papers) and Random Matrices and Applications (22 papers). The work is most often cited by research in Management Science and Operations Research (794 citations), Statistics and Probability (434 citations) and Building and Construction (585 citations). Soo Hak Sung has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Wen‐Hsing Chen, Sheng Chen, Pingyan Chen, Tao Liu, Andrei Volodin, Bong Dae Choi, Lutgarde Raskin, Maohong Fan, Chin‐Pao Huang and Basudeb Saha. Their work appears in journals such as Chemosphere, International Journal of Hydrogen Energy and Fuel.
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.