Gege Wen
About
In The Last Decade
Gege Wen
11 papers receiving 594 citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Environmental Engineering 296
- Ocean Engineering 271
- Mechanical Engineering 186
- Statistical and Nonlinear Physics 138
- Computational Mechanics 82
Countries citing papers authored by Gege Wen
This map shows the geographic impact of Gege Wen'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 Gege Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gege Wen more than expected).
Fields of papers citing papers by Gege Wen
This network shows the impact of papers produced by Gege Wen. 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 Gege Wen. The network helps show where Gege Wen may publish in the future.
Co-authorship network of co-authors of Gege Wen
This figure shows the co-authorship network connecting the top 25 collaborators of Gege Wen. A scholar is included among the top collaborators of Gege Wen 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 Gege Wen. Gege Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | Real-time high-resolution CO2 geological storage prediction using nested Fourier neural operators breakdown → | 79 |
| 6 | 12 | |
| 7 | 47 | |
| 8 | U-FNO—An enhanced Fourier neural operator-based deep-learning model for multiphase flow breakdown → | 273 |
| 9 | 1 | |
| 10 | 67 | |
| 11 | 82 | |
| 12 | 33 |
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.