Xiao-Yong Wei
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Molecular Biology
- Cancer Research top 10%
- Biomedical Engineering
- Topics
- Advanced Image and Video Retrieval Techniques (22 papers)Multimodal Machine Learning Applications (21 papers)Image Retrieval and Classification Techniques (11 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingBiochemical Pharmacology
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xiao-Yong Wei
61 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Computer Vision and Pattern Recognition 993
- Artificial Intelligence 499
- Molecular Biology 277
- Cancer Research 188
- Biomedical Engineering 52
Countries citing papers authored by Xiao-Yong Wei
This map shows the geographic impact of Xiao-Yong Wei'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 Xiao-Yong Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao-Yong Wei more than expected).
Fields of papers citing papers by Xiao-Yong Wei
This network shows the impact of papers produced by Xiao-Yong Wei. 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 Xiao-Yong Wei. The network helps show where Xiao-Yong Wei may publish in the future.
Co-authorship network of co-authors of Xiao-Yong Wei
This figure shows the co-authorship network connecting the top 25 collaborators of Xiao-Yong Wei. A scholar is included among the top collaborators of Xiao-Yong Wei 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 Xiao-Yong Wei. Xiao-Yong Wei 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 | 0 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 15 | |
| 9 | 1 | |
| 10 | 9 | |
| 11 | 13 | |
| 12 | Large-scale Multi-modal Pre-trained Models: A Comprehensive Surveybreakdown → | 111 |
| 13 | 9 | |
| 14 | 10 | |
| 15 | 3 | |
| 16 | Attention on Attention for Image Captioningbreakdown → | 628 |
| 17 | VIREO at TRECVID 2010: Semantic Indexing, Known-Item Search, and Content-Based Copy Detection | 6 |
| 18 | 15 | |
| 19 | Modeling Local Interest Points for Semantic Detection and Video Search at TRECVID 2006. | 3 |
| 20 | Motion Driven Approaches to Shot Boundary Detection, Low-Level Feature Extraction and BBC Rushes Characterization at TRECVID 2005. | 6 |
About Xiao-Yong Wei
Xiao-Yong Wei is a scholar working on Computer Vision and Pattern Recognition, Cancer Research and Artificial Intelligence, having authored 65 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (22 papers), Multimodal Machine Learning Applications (21 papers) and Image Retrieval and Classification Techniques (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (993 citations), Artificial Intelligence (499 citations) and Cancer Research (188 citations). Xiao-Yong Wei has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Wenmin Wang, Lun Huang, Jie Chen, Chong‐Wah Ngo, Yu–Gang Jiang, Yaowei Wang, Pengcheng Gao, Xiao Wang, Wen Gao and Yonghong Tian. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Biochemical Pharmacology.
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.