Young-In Song
About
In The Last Decade
Young-In Song
38 papers receiving 690 citations
Peers
Comparison fields: 5 of 45
- Artificial Intelligence 609
- Information Systems 442
- Computer Science Applications 123
- Statistical and Nonlinear Physics 110
- Management Science and Operations Research 49
Countries citing papers authored by Young-In Song
This map shows the geographic impact of Young-In 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 Young-In Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young-In Song more than expected).
Fields of papers citing papers by Young-In Song
This network shows the impact of papers produced by Young-In 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 Young-In Song. The network helps show where Young-In Song may publish in the future.
Co-authorship network of co-authors of Young-In Song
This figure shows the co-authorship network connecting the top 25 collaborators of Young-In Song. A scholar is included among the top collaborators of Young-In 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 Young-In Song. Young-In 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 | 4 | |
| 2 | 11 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | MSRA at NTCIR-10 1CLICK-2. | 1 |
| 6 | 162 | |
| 7 | 7 | |
| 8 | Microsoft Research Asia at the NTCIR-9 1CLICK Task | 5 |
| 9 | Overview of NTCIR-9 1CLICK. | 13 |
| 10 | 19 | |
| 11 | 58 | |
| 12 | Mining Name Translations from Entity Graph Mapping | 13 |
| 13 | Microsoft Research Asia with Redmond at the NTCIR-8 Community QA Pilot Task | 2 |
| 14 | 2 | |
| 15 | Text-Confidence Feature Based Quality Evaluation Model for Knowledge Q&A Documents | 0 |
| 16 | 38 | |
| 17 | 6 | |
| 18 | 15 | |
| 19 | Title Named Entity Recognition based on Automatically Constructed Context Patterns and Entity Dictionary | 2 |
| 20 | Korea University Question Answering System at TREC 2004. | 6 |
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.