Sen Wang
Impact in
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- Industrial Vision Systems and Defect Detection
- Soil Science top 10%
- Soil Carbon and Nitrogen Dynamics
Papers in
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- Image and Object Detection Techniques 8
- Advanced Neural Network Applications 8
- Optical measurement and interference techniques 8
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- Industrial Vision Systems and Defect Detection 22
- Co-authors
- Xiaoqin Liu (11 shared papers)Chang Liu (10 shared papers)Tao Liu (9 shared papers)Xing Wu (5 shared papers)Rongliang Yang (2 shared papers)Lun Zhao (6 shared papers)Mao Li (3 shared papers)Xiaopeng Sun (1 shared paper)
In The Last Decade
Sen Wang
55 papers receiving 657 citations
Peers
Comparison fields: 5 of 93
- Industrial and Manufacturing Engineering 123
- Soil Science 93
- Computer Vision and Pattern Recognition 183
- Media Technology 64
- Civil and Structural Engineering 145
Countries citing papers authored by Sen Wang
This map shows the geographic impact of Sen 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 Sen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sen Wang more than expected).
Fields of papers citing papers by Sen Wang
This network shows the impact of papers produced by Sen 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 Sen Wang. The network helps show where Sen Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Sen 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
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 101 | |
| 2 | 2022 | 40 | |
| 3 | 2021 | 37 | |
| 4 | 2023 | 34 | |
| 5 | 2023 | 29 | |
| 6 | 2024 | 28 | |
| 7 | 2018 | 26 | |
| 8 | 2024 | 26 | |
| 9 | 2023 | 21 | |
| 10 | 2020 | 20 | |
| 11 | 2023 | 20 | |
| 12 | 2020 | 17 | |
| 13 | 2016 | 17 | |
| 14 | 2023 | 17 | |
| 15 | 2023 | 16 | |
| 16 | 2022 | 15 | |
| 17 | 2020 | 15 | |
| 18 | 2023 | 12 | |
| 19 | 2021 | 10 | |
| 20 | 2015 | 10 |
About Sen Wang
Sen Wang is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Civil and Structural Engineering, Mechanical Engineering and Media Technology, having authored 65 papers that have together received 674 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (22 papers), Infrastructure Maintenance and Monitoring (13 papers), Image Processing Techniques and Applications (9 papers), Structural Health Monitoring Techniques (9 papers), Image and Object Detection Techniques (8 papers), Advanced Neural Network Applications (8 papers), Optical measurement and interference techniques (8 papers) and Advanced Measurement and Detection Methods (8 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (123 citations), Soil Science (93 citations), Computer Vision and Pattern Recognition (183 citations), Media Technology (64 citations) and Civil and Structural Engineering (145 citations). Sen Wang has collaborated with scholars based in China, Sweden and Hong Kong. Frequent co-authors include Xiaoqin Liu, Chang Liu, Tao Liu, Xing Wu, Rongliang Yang, Lun Zhao, Mao Li, Xiaopeng Sun, Liqun Hou and S. S. Malhi. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Mechanical Systems and Signal Processing, Journal of the Society for Information Display, IEEE Sensors Journal and Measurement Science and Technology.
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.