Limsoon Wong
About
In The Last Decade
Limsoon Wong
293 papers receiving 7.5k citations
Peers
Comparison fields: 5 of 203
- Molecular Biology 4.7k
- Artificial Intelligence 1.7k
- Computational Theory and Mathematics 1.2k
- Computer Networks and Communications 958
- Information Systems 749
Countries citing papers authored by Limsoon Wong
This map shows the geographic impact of Limsoon Wong'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 Limsoon Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Limsoon Wong more than expected).
Fields of papers citing papers by Limsoon Wong
This network shows the impact of papers produced by Limsoon Wong. 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 Limsoon Wong. The network helps show where Limsoon Wong may publish in the future.
Co-authorship network of co-authors of Limsoon Wong
This figure shows the co-authorship network connecting the top 25 collaborators of Limsoon Wong. A scholar is included among the top collaborators of Limsoon Wong 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 Limsoon Wong. Limsoon Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 20 | |
| 7 | 7 | |
| 8 | 33 | |
| 9 | 9 | |
| 10 | 17 | |
| 11 | 45 | |
| 12 | Minimum description length principle: generators are preferable to closed patterns | 36 |
| 13 | 23 | |
| 14 | Use of built-in features in the interpretation of high-dimensional cancer diagnosis data | 1 |
| 15 | Mean-entropy discretized features are effective for classifying high-dimensional bio-medical data | 25 |
| 16 | Literature Data Mining for Biology - Session Introduction. | 1 |
| 17 | 216 | |
| 18 | 130 | |
| 19 | Maintaining Transitive Closure of Graphs in SQL | 19 |
| 20 | Querying Nested Collections | 36 |
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.