Guoqiang Wei

425 citations
9 papers · 257 indexed · h-index 6
Topics
Video Surveillance and Tracking Methods (2 papers)Domain Adaptation and Few-Shot Learning (2 papers)Advanced Neural Network Applications (2 papers)
Journals
IEEE Transactions on Image ProcessingIEEE Transactions on Circuits and Systems for Video TechnologyProceedings of the AAAI Conference on Artificial Intelligence
Partner nations
ChinaUnited Kingdom

In The Last Decade

Guoqiang Wei

7 papers receiving 253 citations

Peers

Guoqiang Wei
Comparison fields: 5 of 46
  • Computer Vision and Pattern Recognition 198
  • Artificial Intelligence 103
  • Biomedical Engineering 52
  • Human-Computer Interaction 18
  • Radiology, Nuclear Medicine and Imaging 13
Replace Yicong Tian with:
Yicong Tian United States
Zheng Shou China
Tianjiao Li Singapore
Wenqian Wang China
Yuliang Zou United States
Wenhao Chai United States
Xuetao Feng China
Xinyue Liu China
Masayuki Mukunoki Japan
Roei Herzig United States
Guoqiang Wei relative to Yicong Tian United States Yicong Tian's profile →
Citations per field
00.5×12×
Yicong Tian · 1×
Citations per year

Countries citing papers authored by Guoqiang Wei

Since Specialization
Citations

This map shows the geographic impact of Guoqiang 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 Guoqiang Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoqiang Wei more than expected).

Fields of papers citing papers by Guoqiang Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guoqiang 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 Guoqiang Wei. The network helps show where Guoqiang Wei may publish in the future.

Co-authorship network of co-authors of Guoqiang Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Guoqiang Wei. A scholar is included among the top collaborators of Guoqiang 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 Guoqiang Wei. Guoqiang Wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 17
2 0
3 14
4 1
5 13
6 82
7 89
8 41
9
Study on Stabilization of Auto Focusing Method Based on Image Processing
0

About Guoqiang Wei

Guoqiang Wei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Neurology, having authored 9 papers that have together received 257 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (198 citations), Human-Computer Interaction (18 citations) and Artificial Intelligence (103 citations). Guoqiang Wei has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Cuiling Lan, Zhibo Chen, Wenjun Zeng, Xin Jin, Jiani Zheng, Yan Lü, Yuchen Zhang, Hang Li, Tao Kong and Han‐Bo Zhang. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology 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.

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