Bairui Wang

711 citations
3 papers · 203 · h-index 3

Impact in

    • Multimodal Machine Learning Applications
    • Video Analysis and Summarization
    • Human Pose and Action Recognition
    • Advanced Image and Video Retrieval Techniques
    • Image Retrieval and Classification Techniques
    • Domain Adaptation and Few-Shot Learning
    • Topic Modeling
    • Reinforcement Learning in Robotics

Papers in

Co-authors
Lin Ma (3 shared papers)Wei Liu (2 shared papers)Wenhao Jiang (2 shared papers)Wei Zhang (1 shared paper)Jingwen Wang (1 shared paper)Wei Zhang (2 shared papers)Feng Zhang (1 shared paper)
Journals
IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
Partner nations
China

In The Last Decade

Bairui Wang

3 papers receiving 201 citations

Peers

Bairui Wang
Comparison fields: 5 of 27
  • Computer Vision and Pattern Recognition 187
  • Artificial Intelligence 36
  • Human-Computer Interaction 3
  • Signal Processing 5
  • Language and Linguistics 3
Replace Kevin Qinghong Lin with:
Kevin Qinghong Lin Singapore
Antoine Yang France
Vasili Ramanishka United States
Byungseok Roh Japan
Florian Spieß Switzerland
Jianbing Shen China
Roman Bachmann Switzerland
AJ Piergiovanni United States
Lewei Lu Hong Kong
Francis Dutil Canada
Bairui Wang relative to Kevin Qinghong Lin Singapore Kevin Qinghong Lin's profile →
Citations per field
00.5×1.5×
Kevin Qinghong Lin · 1×
Citations per year

Countries citing papers authored by Bairui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Bairui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Bairui Wang, 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 Bairui Wang Line = papers co-authored together Bairui Wang links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1 2019123
2 201960
3 201920

About Bairui Wang

Bairui Wang is a scholar working on Computer Vision and Pattern Recognition, Infectious Diseases, Organic Chemistry, Surgery and Communication, having authored 3 papers that have together received 203 indexed citations. Recurring topics across this work include Video Analysis and Summarization (3 papers), Multimodal Machine Learning Applications (3 papers), Human Pose and Action Recognition (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (187 citations), Artificial Intelligence (36 citations), Human-Computer Interaction (3 citations), Signal Processing (5 citations) and Language and Linguistics (3 citations). Bairui Wang has collaborated with scholars based in China. Frequent co-authors include Lin Ma, Wei Liu, Wenhao Jiang, Wei Zhang, Jingwen Wang, Wei Zhang and Feng Zhang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence 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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