Xiaolin Wei
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- Advanced Image and Video Retrieval Techniques 12
- Human Pose and Action Recognition 11
- Multimodal Machine Learning Applications 10
- Advanced Neural Network Applications 8
- Video Analysis and Summarization 7
- Advanced Image Processing Techniques 5
- Media Technology top 5%
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning 9
- Human-Computer Interaction top 5%
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- Human Motion and Animation 7
- Co-authors
- Jinxiang ChaiXiaoming WeiJunshi HuangZhenhua ChaiShenqi LaiMingyuan FanPeizhao ZhangShuqiang Jiang
- Journals
- ACM Transactions on Graphics (4 papers)IEEE Computer Graphics and Applications (1 paper)Journal of the Energy Institute (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaolin Wei
50 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Computer Vision and Pattern Recognition 1.1k
- Media Technology 124
- Artificial Intelligence 380
- Human-Computer Interaction 63
- Control and Systems Engineering 230
Countries citing papers authored by Xiaolin Wei
This map shows the geographic impact of Xiaolin 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 Xiaolin Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolin Wei more than expected).
Fields of papers citing papers by Xiaolin Wei
This network shows the impact of papers produced by Xiaolin 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 Xiaolin Wei. The network helps show where Xiaolin Wei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaolin Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 | |
| 8 | Large Scale Visual Food Recognitionbreakdown → | 2023 | 118 |
| 9 | 2023 | 3 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 11 | |
| 12 | 2023 | 7 | |
| 13 | 2022 | 17 | |
| 14 | 2022 | 11 | |
| 15 | DARTS-: Robustly Stepping out of Performance Collapse Without Indicators | 2021 | 35 |
| 16 | 2021 | 37 | |
| 17 | Rethinking BiSeNet For Real-time Semantic Segmentationbreakdown → | 2021 | 494 |
| 18 | 2010 | 2 | |
| 19 | 2004 | 6 | |
| 20 | 1998 | 2 |
About Xiaolin Wei
Xiaolin Wei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering, having authored 53 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (12 papers), Human Pose and Action Recognition (11 papers), Multimodal Machine Learning Applications (10 papers), Domain Adaptation and Few-Shot Learning (9 papers), Advanced Neural Network Applications (8 papers), Video Analysis and Summarization (7 papers), Human Motion and Animation (7 papers) and Advanced Image Processing Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Media Technology (124 citations) and Artificial Intelligence (380 citations). Xiaolin Wei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jinxiang Chai, Xiaoming Wei, Junshi Huang, Zhenhua Chai, Shenqi Lai, Mingyuan Fan, Peizhao Zhang, Shuqiang Jiang, Zhiling Wang and Weiqing Min. Their work appears in journals such as ACM Transactions on Graphics, IEEE Computer Graphics and Applications, Journal of the Energy Institute, IEEE Transactions on Image Processing and Journal of Central South University.
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.