Zehan Wang
- Media Technology top 0.02%
- Image Processing Techniques and Applications 3
- Computer Vision and Pattern Recognition top 0.05%
- Multimodal Machine Learning Applications 4
- Human Pose and Action Recognition 4
- Advanced Vision and Imaging 3
- Advanced Image Processing Techniques 3
- Signal Processing top 1%
- Speech and Audio Processing 2
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- Vehicle Dynamics and Control Systems 5
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- Railway Engineering and Dynamics 5
Zehan Wang
38 papers receiving 12.4k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Media Technology 4.8k
- Computer Vision and Pattern Recognition 10.4k
- Computer Graphics and Computer-Aided Design 309
- Signal Processing 461
- Radiology, Nuclear Medicine and Imaging 857
Countries citing papers authored by Zehan Wang
This map shows the geographic impact of Zehan 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 Zehan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zehan Wang more than expected).
Fields of papers citing papers by Zehan Wang
This network shows the impact of papers produced by Zehan 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 Zehan Wang. The network helps show where Zehan Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zehan Wang, 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 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 11 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 2 | |
| 14 | 2023 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2023 | 5 | |
| 17 | 2021 | 16 | |
| 18 | 2020 | 93 | |
| 19 | 2020 | 20 | |
| 20 | Experimental Research on Anchorage Position of Reinforced Concrete Beams Strengthened with CFRP | 2019 | 0 |
About Zehan Wang
Zehan Wang is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Media Technology, having authored 49 papers that have together received 12.8k indexed citations. Recurring topics across this work include Vehicle Dynamics and Control Systems (5 papers), Railway Engineering and Dynamics (5 papers), Multimodal Machine Learning Applications (4 papers), Human Pose and Action Recognition (4 papers), Advanced Vision and Imaging (3 papers), Advanced Image Processing Techniques (3 papers), Image Processing Techniques and Applications (3 papers) and Speech and Audio Processing (2 papers). The work is most often cited by research in Media Technology (4.8k citations), Computer Vision and Pattern Recognition (10.4k citations) and Computer Graphics and Computer-Aided Design (309 citations). Zehan Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Johannes Totz, Andrew P. Aitken, José Caballero, Wenzhe Shi, Ferenc Huszár, Christian Ledig, Alejandro Acosta, Alykhan Tejani, Lucas Theis and Andrew Cunningham. Their work appears in journals such as Sensors, IEEE Signal Processing Letters, Horticulturae, Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science and Food Chemistry.
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.