Sa-Kwang Song
- Atmospheric Science top 10%
- Artificial Intelligence top 10%
- Global and Planetary Change
- Computer Vision and Pattern Recognition top 10%
- Management Science and Operations Research top 10%
- Co-authors
- Hanmin JungQing LiYuanzhu ChenTiejun WangQixu GongZhangxi LinJae‐Won JangSung Hyon Myaeng
- Topics
- Natural Language Processing Techniques (8 papers)Topic Modeling (7 papers)Context-Aware Activity Recognition Systems (6 papers)
- Journals
- IEEE Transactions on Geoscience and Remote SensingIEEE AccessIEEE Transactions on Cybernetics
- Partner nations
- South KoreaSwitzerlandAustralia
In The Last Decade
Sa-Kwang Song
36 papers receiving 390 citations
Peers
Comparison fields: 5 of 79
- Atmospheric Science 114
- Artificial Intelligence 101
- Global and Planetary Change 92
- Computer Vision and Pattern Recognition 84
- Management Science and Operations Research 64
Countries citing papers authored by Sa-Kwang Song
This map shows the geographic impact of Sa-Kwang Song'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 Sa-Kwang Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sa-Kwang Song more than expected).
Fields of papers citing papers by Sa-Kwang Song
This network shows the impact of papers produced by Sa-Kwang Song. 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 Sa-Kwang Song. The network helps show where Sa-Kwang Song may publish in the future.
Co-authorship network of co-authors of Sa-Kwang Song
This figure shows the co-authorship network connecting the top 25 collaborators of Sa-Kwang Song. A scholar is included among the top collaborators of Sa-Kwang Song 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 Sa-Kwang Song. Sa-Kwang Song 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 | 6 | |
| 3 | 17 | |
| 4 | 12 | |
| 5 | An Efficient Damage Information Extraction from Government Disaster Reports | 1 |
| 6 | 26 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | Matrix Completion for Storm Damages Prediction. | 0 |
| 10 | Acronym-Expansion Disambiguation for Intelligent Processing of Enterprise Information | 2 |
| 11 | 0 | |
| 12 | System Thinking: Crafting Scenarios for Prescriptive Analytics | 1 |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 16 | |
| 16 | Procedural Knowledge Extraction on Medical Documents | 0 |
| 17 | Relation Extraction based on Composite Kernel combining Pattern Similarity of Predicate-Argument Structure | 2 |
| 18 | 4 | |
| 19 | 33 | |
| 20 | 22 |
About Sa-Kwang Song
Sa-Kwang Song is a scholar working on Information Systems and Management, Information Systems and Management Science and Operations Research, having authored 43 papers that have together received 419 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (8 papers), Topic Modeling (7 papers) and Context-Aware Activity Recognition Systems (6 papers). The work is most often cited by research in Atmospheric Science (114 citations), Management Science and Operations Research (64 citations) and Global and Planetary Change (92 citations). Sa-Kwang Song has collaborated with scholars based in South Korea, Switzerland and Australia. Frequent co-authors include Hanmin Jung, Qing Li, Yuanzhu Chen, Tiejun Wang, Qixu Gong, Zhangxi Lin, Jae‐Won Jang, Sung Hyon Myaeng, Seungwoo Lee and Minho Kim. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and IEEE Transactions on Cybernetics.
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.