Wenhao Ying
About
In The Last Decade
Wenhao Ying
23 papers receiving 348 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 137
- Cognitive Neuroscience 121
- Electrical and Electronic Engineering 95
- Signal Processing 95
- Computer Vision and Pattern Recognition 76
Countries citing papers authored by Wenhao Ying
This map shows the geographic impact of Wenhao Ying'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 Wenhao Ying with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenhao Ying more than expected).
Fields of papers citing papers by Wenhao Ying
This network shows the impact of papers produced by Wenhao Ying. 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 Wenhao Ying. The network helps show where Wenhao Ying may publish in the future.
Co-authorship network of co-authors of Wenhao Ying
This figure shows the co-authorship network connecting the top 25 collaborators of Wenhao Ying. A scholar is included among the top collaborators of Wenhao Ying 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 Wenhao Ying. Wenhao Ying 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 | 0 | |
| 3 | 31 | |
| 4 | 1 | |
| 5 | 12 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 136 | |
| 12 | 72 | |
| 13 | 25 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 7 | |
| 17 | 0 | |
| 18 | 4 | |
| 19 | 5 | |
| 20 | p-Margin Kernel Learning Machine with Magnetic Field Effect for Both Binary Classification and Novelty Detection. | 5 |
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.