Lu Yuan
About
In The Last Decade
Lu Yuan
105 papers receiving 10.1k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Computer Vision and Pattern Recognition 8.4k
- Media Technology 1.9k
- Artificial Intelligence 1.7k
- Computer Graphics and Computer-Aided Design 727
- Aerospace Engineering 697
Countries citing papers authored by Lu Yuan
This map shows the geographic impact of Lu Yuan'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 Lu Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Yuan more than expected).
Fields of papers citing papers by Lu Yuan
This network shows the impact of papers produced by Lu Yuan. 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 Lu Yuan. The network helps show where Lu Yuan may publish in the future.
Co-authorship network of co-authors of Lu Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Lu Yuan. A scholar is included among the top collaborators of Lu Yuan 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 Lu Yuan. Lu Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks breakdown → | 54 |
| 10 | 40 | |
| 11 | 20 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | Rethinking Classification and Localization for Object Detection breakdown → | 491 |
| 15 | 67 | |
| 16 | Double-Head RCNN: Rethinking Classification and Localization for Object Detection | 4 |
| 17 | Rethinking Classification and Localization in R-CNN | 7 |
| 18 | Deep Feature Flow for Video Recognition breakdown → | 416 |
| 19 | Flow-Guided Feature Aggregation for Video Object Detection breakdown → | 413 |
| 20 | Blurred/No-Blurred Image Alignment using Kernel Sparseness Prior | 8 |
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.