Richard Wu
About
In The Last Decade
Richard Wu
32 papers receiving 684 citations
Peers
Comparison fields: 5 of 93
- Pulmonary and Respiratory Medicine 373
- Radiation 312
- Cardiology and Cardiovascular Medicine 169
- Molecular Biology 168
- Radiology, Nuclear Medicine and Imaging 148
Countries citing papers authored by Richard Wu
This map shows the geographic impact of Richard Wu'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 Richard Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Wu more than expected).
Fields of papers citing papers by Richard Wu
This network shows the impact of papers produced by Richard Wu. 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 Richard Wu. The network helps show where Richard Wu may publish in the future.
Co-authorship network of co-authors of Richard Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Wu. A scholar is included among the top collaborators of Richard Wu 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 Richard Wu. Richard Wu 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 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 25 | |
| 9 | Attention-based Learning for Missing Data Imputation in HoloClean | 21 |
| 10 | 10 | |
| 11 | A Framework Using Machine Vision and Deep Reinforcement Learning for Self-Learning Moving Objects in a Virtual Environment. | 1 |
| 12 | 75 | |
| 13 | 3 | |
| 14 | 115 | |
| 15 | 82 | |
| 16 | 71 | |
| 17 | 58 | |
| 18 | 1 | |
| 19 | 176 | |
| 20 | 8 |
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.