Weiwei Wang
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 1%
- Computer Networks and Communications top 5%
- Renewable Energy, Sustainability and the Environment top 10%
- Electrical and Electronic Engineering
- Topics
- Image and Signal Denoising Methods (34 papers)Sparse and Compressive Sensing Techniques (27 papers)Advanced Image Fusion Techniques (24 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Weiwei Wang
117 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Computer Vision and Pattern Recognition 613
- Media Technology 333
- Computer Networks and Communications 301
- Renewable Energy, Sustainability and the Environment 230
- Electrical and Electronic Engineering 210
Countries citing papers authored by Weiwei Wang
This map shows the geographic impact of Weiwei 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 Weiwei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiwei Wang more than expected).
Fields of papers citing papers by Weiwei Wang
This network shows the impact of papers produced by Weiwei 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 Weiwei Wang. The network helps show where Weiwei Wang may publish in the future.
Co-authorship network of co-authors of Weiwei Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Weiwei Wang. A scholar is included among the top collaborators of Weiwei Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Weiwei Wang. Weiwei Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 16 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 2 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | Clutter characteristic and suppression approach for missile-borne diving non-broadside array radar | 1 |
| 16 | Improved SVA method for SAR sidelobe suppression | 4 |
| 17 | Digital Realization for Non-coherent Demodulation of FSK Signal | 0 |
| 18 | Application of electronic shearography speckle pattern interferomety to nondestructive testing of wood material | 1 |
| 19 | Parameter Estimation and Two Step Segmentation Based on Mumford-Shah Model | 1 |
| 20 | A new anti-aliasing CIC filter for decimating and interpolating | 1 |
About Weiwei Wang
Weiwei Wang is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 139 papers that have together received 1.9k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (34 papers), Sparse and Compressive Sensing Techniques (27 papers) and Advanced Image Fusion Techniques (24 papers). The work is most often cited by research in Media Technology (333 citations), Computer Vision and Pattern Recognition (613 citations) and Statistical and Nonlinear Physics (176 citations). Weiwei Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiangchu Feng, Jinde Cao, Ping Li, Jelena Bradić, Jianqing Fan, Xixi Jia, Xuande Zhang, Wufeng Xue, Peng‐Lang Shui and Zhijun Feng. Their work appears in journals such as Journal of the American Chemical Society, PLoS ONE and Brain Research.
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.