Chew-Lim Tan
About
In The Last Decade
Chew-Lim Tan
16 papers receiving 712 citations
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 651
- Molecular Biology 311
- Computer Vision and Pattern Recognition 133
- Information Systems 88
- Management Science and Operations Research 45
Countries citing papers authored by Chew-Lim Tan
This map shows the geographic impact of Chew-Lim Tan'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 Chew-Lim Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chew-Lim Tan more than expected).
Fields of papers citing papers by Chew-Lim Tan
This network shows the impact of papers produced by Chew-Lim Tan. 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 Chew-Lim Tan. The network helps show where Chew-Lim Tan may publish in the future.
Co-authorship network of co-authors of Chew-Lim Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Chew-Lim Tan. A scholar is included among the top collaborators of Chew-Lim Tan 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 Chew-Lim Tan. Chew-Lim Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 65 | |
| 2 | Improved Combinatory Categorial Grammar Induction with Boundary Words and Bayesian Inference | 1 |
| 3 | A Lazy Learning Model for Entity Linking using Query-Specific Information | 1 |
| 4 | Exploiting Category-Specific Information for Multi-Document Summarization | 20 |
| 5 | A Wikipedia-LDA Model for Entity Linking with Batch Size Changing Instance Selection | 12 |
| 6 | Which Who are They? People Attribute Extraction and Disambiguationin Web Search Results | 10 |
| 7 | 7 | |
| 8 | Proposing a new term weighting scheme for text categorization | 64 |
| 9 | 75 | |
| 10 | 1 | |
| 11 | Protein-Protein Interaction Extraction: A Supervised Learning Approach} | 38 |
| 12 | 79 | |
| 13 | 179 | |
| 14 | 149 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 98 |
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.