Caihua Wu
About
In The Last Decade
Caihua Wu
22 papers receiving 554 citations
Peers
Comparison fields: 5 of 116
- Information Systems 229
- Artificial Intelligence 141
- Computer Vision and Pattern Recognition 97
- Physiology 97
- Molecular Biology 76
Countries citing papers authored by Caihua Wu
This map shows the geographic impact of Caihua 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 Caihua Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caihua Wu more than expected).
Fields of papers citing papers by Caihua Wu
This network shows the impact of papers produced by Caihua 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 Caihua Wu. The network helps show where Caihua Wu may publish in the future.
Co-authorship network of co-authors of Caihua Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Caihua Wu. A scholar is included among the top collaborators of Caihua 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 Caihua Wu. Caihua 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 | 35 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 29 | |
| 6 | 3 | |
| 7 | 105 | |
| 8 | 7 | |
| 9 | 27 | |
| 10 | 20 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 40 | |
| 14 | 20 | |
| 15 | 6 | |
| 16 | 17 | |
| 17 | Deriving Markov Chain Usage Model from UML Model | 1 |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 0 |
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.