Yixuan Wei

35.8k citations
50 papers · 21.9k indexed · 4 hit papers · h-index 20

Impact in

    • Advanced Neural Network Applications
    • Advanced Image and Video Retrieval Techniques
    • Video Surveillance and Tracking Methods
    • Human Pose and Action Recognition
    • Advanced Image Processing Techniques
    • Multimodal Machine Learning Applications
    • Remote-Sensing Image Classification

Papers in

Yixuan Wei

46 papers receiving 21.5k citations

Hit Papers

Video Swin Transformer 2022 · 1.1k citations
1.1k20172026202020235.0k10.0k15.0k

Peers

Yixuan Wei
Comparison fields: 5 of 205
  • Computer Vision and Pattern Recognition 12.2k
  • Media Technology 3.3k
  • Artificial Intelligence 5.3k
  • Industrial and Manufacturing Engineering 1.0k
  • Neurology 783
Replace Yue Cao with:
Yue Cao China
Baining Guo China
Ze Liu China
Yutong Lin China
Han Hu China
Kevin Murphy United States
Jianping Shi China
Hao Su China
Piotr Dollár United States
Yixuan Wei relative to Yue Cao China Yue Cao's profile →
Citations per field
00.5×50×122×
Yue Cao · 1×
Citations per year

Countries citing papers authored by Yixuan Wei

Since Specialization
Citations

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

Fields of papers citing papers by Yixuan Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yixuan Wei, 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 Yixuan Wei Line = papers co-authored together Yixuan Wei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20251
4 20250
5 20251
6 20250
7 20243
8 20241
9 20245
10 20233
11 20231
12 20234
13 20237
14 20231
15 20224
16 202046
17 201928
18 2019250
19 201865
20 2016125

About Yixuan Wei

Yixuan Wei is a scholar working on Ocean Engineering, Building and Construction, Environmental Engineering, Computer Vision and Pattern Recognition and Speech and Hearing, having authored 50 papers that have together received 21.9k indexed citations. Recurring topics across this work include Building Energy and Comfort Optimization (7 papers), Domain Adaptation and Few-Shot Learning (6 papers), Advanced Neural Network Applications (6 papers), Evacuation and Crowd Dynamics (5 papers), Coal Properties and Utilization (4 papers), Wind and Air Flow Studies (4 papers), Multimodal Machine Learning Applications (4 papers) and Disaster Management and Resilience (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (12.2k citations), Media Technology (3.3k citations), Artificial Intelligence (5.3k citations), Industrial and Manufacturing Engineering (1.0k citations) and Neurology (783 citations). Yixuan Wei has collaborated with scholars based in China, Malaysia and Sweden. Frequent co-authors include Han Hu, Yue Cao, Zheng Zhang, Ze Liu, Stephen Lin, Yutong Lin, Baining Guo, Ning Jia, Song Pan and Xingxing Zhang. Their work appears in journals such as Building and Environment, Building Simulation, Sustainable Cities and Society, Renewable and Sustainable Energy Reviews and International Journal of Disaster Risk Reduction.

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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