Yao Lu
About
In The Last Decade
Yao Lu
64 papers receiving 884 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Computer Vision and Pattern Recognition 705
- Artificial Intelligence 238
- Media Technology 93
- Computer Networks and Communications 84
- Aerospace Engineering 73
Countries citing papers authored by Yao Lu
This map shows the geographic impact of Yao Lu'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 Yao Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao Lu more than expected).
Fields of papers citing papers by Yao Lu
This network shows the impact of papers produced by Yao Lu. 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 Yao Lu. The network helps show where Yao Lu may publish in the future.
Co-authorship network of co-authors of Yao Lu
This figure shows the co-authorship network connecting the top 25 collaborators of Yao Lu. A scholar is included among the top collaborators of Yao Lu 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 Yao Lu. Yao Lu 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 | 0 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | Adversarial Sample Detection via Channel Pruning | 1 |
| 9 | Learning to Estimate Hidden Motions with Global Motion Aggregation breakdown → | 198 |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 12 | |
| 13 | 5 | |
| 14 | 10 | |
| 15 | 3 | |
| 16 | 4 | |
| 17 | 11 | |
| 18 | Online Visual Tracking using Multiple Instance Learning with Instance Significance Estimation. | 4 |
| 19 | 5 | |
| 20 | 45 |
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.