Runzhong Wang
About
In The Last Decade
Runzhong Wang
30 papers receiving 427 citations
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 259
- Artificial Intelligence 173
- Aerospace Engineering 51
- Mechanical Engineering 30
- Computational Mechanics 27
Countries citing papers authored by Runzhong Wang
This map shows the geographic impact of Runzhong Wang'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 Runzhong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runzhong Wang more than expected).
Fields of papers citing papers by Runzhong Wang
This network shows the impact of papers produced by Runzhong Wang. 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 Runzhong Wang. The network helps show where Runzhong Wang may publish in the future.
Co-authorship network of co-authors of Runzhong Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Runzhong Wang. A scholar is included among the top collaborators of Runzhong Wang 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 Runzhong Wang. Runzhong Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 15 | |
| 8 | 14 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 10 | |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 4 | |
| 15 | 7 | |
| 16 | Deep Latent Graph Matching | 4 |
| 17 | 63 | |
| 18 | 53 | |
| 19 | Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning | 10 |
| 20 | Learning deep graph matching with channel-independent embedding and Hungarian attention | 29 |
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.