Long Zhu
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Media Technology top 10%
- Aerospace Engineering
- Signal Processing
- Co-authors
- Alan YuilleHao ZhangWilliam T. FreemanRong XiaoYuanhao ChenZhenQiu ZhangS.Z. LiChenxi Lin
- Topics
- Advanced Image and Video Retrieval Techniques (7 papers)Domain Adaptation and Few-Shot Learning (6 papers)Image Retrieval and Classification Techniques (5 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceInternational Journal of Computer VisionJournal of Mathematical Imaging and Vision
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Long Zhu
19 papers receiving 412 citations
Peers
Comparison fields: 5 of 51
- Computer Vision and Pattern Recognition 384
- Artificial Intelligence 108
- Media Technology 33
- Aerospace Engineering 32
- Signal Processing 26
Countries citing papers authored by Long Zhu
This map shows the geographic impact of Long Zhu'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 Long Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Zhu more than expected).
Fields of papers citing papers by Long Zhu
This network shows the impact of papers produced by Long Zhu. 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 Long Zhu. The network helps show where Long Zhu may publish in the future.
Co-authorship network of co-authors of Long Zhu
This figure shows the co-authorship network connecting the top 25 collaborators of Long Zhu. A scholar is included among the top collaborators of Long Zhu 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 Long Zhu. Long Zhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion - eScholarship | 1 |
| 3 | 171 | |
| 4 | 15 | |
| 5 | FPGA-based algorithm of fast median filter | 2 |
| 6 | Nonparametric Bayesian Texture Learning and Synthesis | 1 |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 9 | |
| 11 | 1 | |
| 12 | Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing - eScholarship | 1 |
| 13 | 6 | |
| 14 | Rapid Inference on a Novel AND/OR graph for Object Detection, Segmentation and Parsing | 34 |
| 15 | A Hierarchical Compositional System for Rapid Object Detection | 8 |
| 16 | A Hierarchical Compositional System for Rapid Object Detection - eScholarship | 3 |
| 17 | 106 | |
| 18 | 11 | |
| 19 | 47 |
About Long Zhu
Long Zhu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 19 papers that have together received 430 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Image Retrieval and Classification Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (384 citations), Media Technology (33 citations) and Artificial Intelligence (108 citations). Long Zhu has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Alan Yuille, Hao Zhang, William T. Freeman, Rong Xiao, Yuanhao Chen, ZhenQiu Zhang, S.Z. Li, Chenxi Lin, Bill Freeman and Antonio Torralba. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Journal of Mathematical Imaging and Vision.
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.