Yingwei Pan

9.4k citations
85 papers · 4.0k indexed · 3 hit papers · h-index 29

Yingwei Pan

77 papers receiving 3.9k citations

Hit Papers

Contextual Transformer Networks f...4582016202620192022100200300400

Peers

Yingwei Pan
Comparison fields: 5 of 129
  • Computer Vision and Pattern Recognition 3.3k
  • Artificial Intelligence 1.4k
  • Computer Graphics and Computer-Aided Design 79
  • Media Technology 162
  • Human-Computer Interaction 64
Replace Bohyung Han with:
Bohyung Han South Korea
Pengchuan Zhang United States
Sanghyuk Chun South Korea
Jordi Pont-Tuset Spain
Zhedong Zheng China
José M. Alvarez Australia
Mathilde Caron United States
Henghui Ding Singapore
Carl Doersch United States
Fan Zhu China
Yingwei Pan relative to Bohyung Han South Korea Bohyung Han's profile →
Citations per field
00.5×
Bohyung Han · 1×
Citations per year

Countries citing papers authored by Yingwei Pan

Since Specialization
Citations

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

Fields of papers citing papers by Yingwei Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Yingwei Pan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yingwei Pan Line = papers co-authored together Yingwei Pan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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19 201911
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VireoJD-MM @ TRECVid 2019: Activities in Extended Video (ActEV).
20191

About Yingwei Pan

Yingwei Pan is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Artificial Intelligence, Health Informatics and Geology, having authored 85 papers that have together received 4.0k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (44 papers), Domain Adaptation and Few-Shot Learning (31 papers), Human Pose and Action Recognition (26 papers), Advanced Image and Video Retrieval Techniques (25 papers), Generative Adversarial Networks and Image Synthesis (12 papers), Video Analysis and Summarization (12 papers), Advanced Neural Network Applications (12 papers) and Advanced Vision and Imaging (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.3k citations), Artificial Intelligence (1.4k citations), Computer Graphics and Computer-Aided Design (79 citations), Media Technology (162 citations) and Human-Computer Interaction (64 citations). Yingwei Pan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ting Yao, Tao Mei, Yehao Li, Houqiang Li, Tao Mei, Yehao Li, Chong‐Wah Ngo, Yong Rui, Zhaofan Qiu and Xinmei Tian. Their work appears in journals such as ACM Transactions on Multimedia Computing Communications and Applications, IEEE Transactions on Multimedia, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Circuits and Systems for Video Technology.

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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