Shuling Wang
Impact in
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- Advanced Vision and Imaging
- Optical measurement and interference techniques
- Advanced Neural Network Applications
- Media Technology top 5%
- Image Processing Techniques and Applications
Papers in
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- Advanced Vision and Imaging 5
- Image Enhancement Techniques 2
- Advanced Image Processing Techniques 2
- Optical measurement and interference techniques 1
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- Image Processing Techniques and Applications 3
- Co-authors
- Xiaojin Gong (6 shared papers)Mu Hu (3 shared papers)Li Fan (1 shared paper)Lianghao Wang (1 shared paper)Zhiyu Xiang (1 shared paper)Hu Song (1 shared paper)Hefu Ye (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (1 paper)IEEE Signal Processing Letters (1 paper)Sensors (1 paper)Chinese Journal of Computers (1 paper)
- Partner nations
- China
In The Last Decade
Shuling Wang
8 papers receiving 282 citations
Shuling Wang's Hit Papers
Peers
Comparison fields: 5 of 35
- Computer Vision and Pattern Recognition 228
- Media Technology 71
- Instrumentation 19
- Aerospace Engineering 113
- Geology 25
Countries citing papers authored by Shuling Wang
This map shows the geographic impact of Shuling 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 Shuling Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuling Wang more than expected).
Fields of papers citing papers by Shuling Wang
This network shows the impact of papers produced by Shuling 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 Shuling Wang. The network helps show where Shuling Wang may publish in the future.
Co-authors
The 7 scholars most cited alongside Shuling 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 | PENet: Towards Precise and Efficient Image Guided Depth Completion Hit paper breakdown → | 2021 | 219 |
| 2 | 2006 | 26 | |
| 3 | 2021 | 25 | |
| 4 | 2022 | 8 | |
| 5 | 2011 | 8 | |
| 6 | 2022 | 3 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 |
About Shuling Wang
Shuling Wang is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Computer Networks and Communications, Aerospace Engineering and Information Systems, having authored 8 papers that have together received 291 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Image Processing Techniques and Applications (3 papers), Robotics and Sensor-Based Localization (2 papers), Image Enhancement Techniques (2 papers), Advanced Image Processing Techniques (2 papers), Optical measurement and interference techniques (1 paper), Cloud Computing and Resource Management (1 paper) and Software-Defined Networks and 5G (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (228 citations), Media Technology (71 citations), Instrumentation (19 citations), Aerospace Engineering (113 citations) and Geology (25 citations). Shuling Wang has collaborated with scholars based in China. Frequent co-authors include Xiaojin Gong, Mu Hu, Li Fan, Lianghao Wang, Zhiyu Xiang, Hu Song and Hefu Ye. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Signal Processing Letters, Sensors and Chinese Journal of Computers.
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.