Yiwu Zhong
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Control and Systems Engineering
- Radiology, Nuclear Medicine and Imaging
- Aerospace Engineering
- Topics
- Multimodal Machine Learning Applications (6 papers)Domain Adaptation and Few-Shot Learning (3 papers)Advanced Image and Video Retrieval Techniques (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceComputer Graphics and Computer-Aided Design
- Journals
- 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)2021 IEEE/CVF International Conference on Computer Vision (ICCV)Proceedings of the AAAI Conference on Artificial Intelligence
- Partner nations
- United StatesHong KongUnited Kingdom
In The Last Decade
Yiwu Zhong
8 papers receiving 362 citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 297
- Artificial Intelligence 210
- Control and Systems Engineering 11
- Radiology, Nuclear Medicine and Imaging 10
- Aerospace Engineering 9
Countries citing papers authored by Yiwu Zhong
This map shows the geographic impact of Yiwu Zhong'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 Yiwu Zhong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiwu Zhong more than expected).
Fields of papers citing papers by Yiwu Zhong
This network shows the impact of papers produced by Yiwu Zhong. 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 Yiwu Zhong. The network helps show where Yiwu Zhong may publish in the future.
Co-authorship network of co-authors of Yiwu Zhong
This figure shows the co-authorship network connecting the top 25 collaborators of Yiwu Zhong. A scholar is included among the top collaborators of Yiwu Zhong 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 Yiwu Zhong. Yiwu Zhong 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 | 13 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 11 | |
| 6 | RegionCLIP: Region-based Language-Image Pretrainingbreakdown → | 276 |
| 7 | 18 | |
| 8 | 48 |
About Yiwu Zhong
Yiwu Zhong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 8 papers that have together received 376 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (6 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (297 citations), Artificial Intelligence (210 citations) and Computer Graphics and Computer-Aided Design (5 citations). Yiwu Zhong has collaborated with scholars based in United States, Hong Kong and United Kingdom. Frequent co-authors include Jianwei Yang, Yin Li, Pengchuan Zhang, Chunyuan Li, Luowei Zhou, Lu Yuan, Jianfeng Gao, Noel Codella, Xiyang Dai and Jing Shi. Their work appears in journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.