Wenjie Yang
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- Video Surveillance and Tracking Methods 8
- Advanced Neural Network Applications 5
- Face recognition and analysis 3
- Human Pose and Action Recognition 3
- Image Enhancement Techniques 2
- Artificial Intelligence top 2%
- Anomaly Detection Techniques and Applications 3
- Health Informatics top 5%
- Media Technology top 2%
- Signal Processing top 5%
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- Gait Recognition and Analysis 2
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- Glycosylation and Glycoproteins Research 1
- Co-authors
- Fan LiuZewen LiJun ZhouKaiqi HuangXiaotang ChenHoujing HuangZhang ZhangShu Zhang
- Journals
- SHILAP Revista de lepidopterología (1 paper)Chemical Engineering Journal (1 paper)IEEE Transactions on Image Processing (1 paper)
In The Last Decade
Wenjie Yang
15 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Computer Vision and Pattern Recognition 927
- Artificial Intelligence 797
- Health Informatics 28
- Media Technology 171
- Signal Processing 189
Countries citing papers authored by Wenjie Yang
This map shows the geographic impact of Wenjie Yang'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 Wenjie Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenjie Yang more than expected).
Fields of papers citing papers by Wenjie Yang
This network shows the impact of papers produced by Wenjie Yang. 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 Wenjie Yang. The network helps show where Wenjie Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wenjie Yang, 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 | 0 | |
| 2 | 2025 | 4 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 74 | |
| 9 | 2023 | 5 | |
| 10 | 2022 | 7 | |
| 11 | A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospectsbreakdown → | 2021 | 2712 |
| 12 | 2021 | 5 | |
| 13 | 2021 | 16 | |
| 14 | 2020 | 9 | |
| 15 | 2020 | 19 | |
| 16 | 2019 | 206 | |
| 17 | 2017 | 2 |
About Wenjie Yang
Wenjie Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Archeology, having authored 17 papers that have together received 3.1k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), Advanced Neural Network Applications (5 papers), Face recognition and analysis (3 papers), Human Pose and Action Recognition (3 papers), Anomaly Detection Techniques and Applications (3 papers), Image Enhancement Techniques (2 papers), Gait Recognition and Analysis (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (927 citations), Artificial Intelligence (797 citations) and Health Informatics (28 citations). Wenjie Yang has collaborated with scholars based in China and Australia. Frequent co-authors include Fan Liu, Zewen Li, Jun Zhou, Kaiqi Huang, Xiaotang Chen, Houjing Huang, Zhang Zhang, Shu Zhang, Kai Gao and Dingwen Li. Their work appears in journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and IEEE Transactions on Image Processing.
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.