Kuansan Wang
About
In The Last Decade
Kuansan Wang
62 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Artificial Intelligence 2.0k
- Information Systems 960
- Computer Vision and Pattern Recognition 502
- Statistical and Nonlinear Physics 479
- Molecular Biology 276
Countries citing papers authored by Kuansan Wang
This map shows the geographic impact of Kuansan Wang'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 Kuansan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuansan Wang more than expected).
Fields of papers citing papers by Kuansan Wang
This network shows the impact of papers produced by Kuansan Wang. 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 Kuansan Wang. The network helps show where Kuansan Wang may publish in the future.
Co-authorship network of co-authors of Kuansan Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Kuansan Wang. A scholar is included among the top collaborators of Kuansan Wang 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 Kuansan Wang. Kuansan Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 42 | |
| 2 | 4 | |
| 3 | GPT-GNN breakdown → | 255 |
| 4 | 70 | |
| 5 | 5 | |
| 6 | 90 | |
| 7 | 62 | |
| 8 | 52 | |
| 9 | 13 | |
| 10 | 22 | |
| 11 | Proceedings of the first international workshop on Entity recognition & disambiguation | 4 |
| 12 | 23 | |
| 13 | An Overview of Microsoft Web N-gram Corpus and Applications | 73 |
| 14 | 49 | |
| 15 | 8 | |
| 16 | 1 | |
| 17 | A Semantically Structured Language Model | 2 |
| 18 | 6 | |
| 19 | 14 | |
| 20 | 2 |
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.