Hwei Yee Lee
About
In The Last Decade
Hwei Yee Lee
22 papers receiving 384 citations
Peers
Comparison fields: 5 of 72
- Geriatrics and Gerontology 102
- Physiology 93
- Molecular Biology 77
- Radiology, Nuclear Medicine and Imaging 64
- Artificial Intelligence 55
Countries citing papers authored by Hwei Yee Lee
This map shows the geographic impact of Hwei Yee Lee'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 Hwei Yee Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hwei Yee Lee more than expected).
Fields of papers citing papers by Hwei Yee Lee
This network shows the impact of papers produced by Hwei Yee Lee. 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 Hwei Yee Lee. The network helps show where Hwei Yee Lee may publish in the future.
Co-authorship network of co-authors of Hwei Yee Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Hwei Yee Lee. A scholar is included among the top collaborators of Hwei Yee Lee 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 Hwei Yee Lee. Hwei Yee Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 2 | |
| 3 | 11 | |
| 4 | 4 | |
| 5 | 118 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 14 | |
| 11 | 162 | |
| 12 | 5 | |
| 13 | 4 | |
| 14 | 11 | |
| 15 | 3 | |
| 16 | 3 | |
| 17 | 2 | |
| 18 | 3 | |
| 19 | Test and teach. Number fifty-three. Diagnosis: Calcifying fibrous pseudotumour. | 3 |
| 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.