Yi-Ting Wu
About
In The Last Decade
Yi-Ting Wu
6 papers receiving 318 citations
Peers
Comparison fields: 5 of 65
- Renewable Energy, Sustainability and the Environment 106
- Cellular and Molecular Neuroscience 88
- Materials Chemistry 82
- Pathology and Forensic Medicine 50
- Molecular Biology 46
Countries citing papers authored by Yi-Ting Wu
This map shows the geographic impact of Yi-Ting 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 Yi-Ting Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi-Ting Wu more than expected).
Fields of papers citing papers by Yi-Ting Wu
This network shows the impact of papers produced by Yi-Ting 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 Yi-Ting Wu. The network helps show where Yi-Ting Wu may publish in the future.
Co-authorship network of co-authors of Yi-Ting Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Yi-Ting Wu. A scholar is included among the top collaborators of Yi-Ting 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 Yi-Ting Wu. Yi-Ting 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 | 20 | |
| 2 | 32 | |
| 3 | 44 | |
| 4 | 25 | |
| 5 | 117 | |
| 6 | 87 |
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.