Shasha Liao
About
In The Last Decade
Shasha Liao
59 papers receiving 876 citations
Peers
Comparison fields: 5 of 114
- Electrical and Electronic Engineering 378
- Artificial Intelligence 309
- Atomic and Molecular Physics, and Optics 284
- Epidemiology 88
- Infectious Diseases 78
Countries citing papers authored by Shasha Liao
This map shows the geographic impact of Shasha Liao'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 Shasha Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shasha Liao more than expected).
Fields of papers citing papers by Shasha Liao
This network shows the impact of papers produced by Shasha Liao. 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 Shasha Liao. The network helps show where Shasha Liao may publish in the future.
Co-authorship network of co-authors of Shasha Liao
This figure shows the co-authorship network connecting the top 25 collaborators of Shasha Liao. A scholar is included among the top collaborators of Shasha Liao 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 Shasha Liao. Shasha Liao 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 | 17 | |
| 3 | 9 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 27 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 3 | |
| 11 | 17 | |
| 12 | 12 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 5 | |
| 16 | Can Document Selection Help Semi-supervised Learning? A Case Study On Event Extraction | 10 |
| 17 | Improving MT Word Alignment Using Aligned Multi-Stage Parses | 1 |
| 18 | Acquiring Topic Features to improve Event Extraction: in Pre-selected and Balanced Collections | 26 |
| 19 | Using Prediction from Sentential Scope to Build a Pseudo Co-Testing Learner for Event Extraction | 6 |
| 20 | Using Document Level Cross-Event Inference to Improve Event Extraction | 199 |
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.