Zicheng Liu
About
In The Last Decade
Zicheng Liu
177 papers receiving 10.9k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Computer Vision and Pattern Recognition 9.0k
- Artificial Intelligence 3.4k
- Human-Computer Interaction 2.1k
- Biomedical Engineering 2.1k
- Signal Processing 778
Countries citing papers authored by Zicheng Liu
This map shows the geographic impact of Zicheng Liu'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 Zicheng Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zicheng Liu more than expected).
Fields of papers citing papers by Zicheng Liu
This network shows the impact of papers produced by Zicheng Liu. 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 Zicheng Liu. The network helps show where Zicheng Liu may publish in the future.
Co-authorship network of co-authors of Zicheng Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Zicheng Liu. A scholar is included among the top collaborators of Zicheng Liu 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 Zicheng Liu. Zicheng Liu 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 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 33 | |
| 6 | 84 | |
| 7 | 6 | |
| 8 | SwinBERT: End-to-End Transformers with Sparse Attention for Video Captioning breakdown → | 166 |
| 9 | End-to-End Semi-Supervised Object Detection with Soft Teacher breakdown → | 321 |
| 10 | Asymmetric Siamese Networks for Semantic Change Detection in Aerial Images breakdown → | 172 |
| 11 | Spatial-Temporal Graph Transformer for Multiple Object Tracking | 1 |
| 12 | Rethinking Classification and Localization for Object Detection breakdown → | 491 |
| 13 | Cross-Domain Complementary Learning with Synthetic Data for Multi-Person Part Segmentation. | 3 |
| 14 | Double-Head RCNN: Rethinking Classification and Localization for Object Detection | 4 |
| 15 | 5 | |
| 16 | Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors. | 3 |
| 17 | Combing RGB and Depth Map Features for human activity recognition | 65 |
| 18 | 15 | |
| 19 | A Geometry-Driven Photorealisitc Facial Expression Synthesis | 5 |
| 20 | Model- and Exemplar-based Robust Head Pose Tracking Under Occlusion and Varying Expression | 14 |
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.