Xiaonan Wang
Impact in
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- Industrial Vision Systems and Defect Detection
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- Advanced Neural Network Applications
Papers in
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- Video Surveillance and Tracking Methods 3
- Advanced Neural Network Applications 2
- Advanced Image and Video Retrieval Techniques 2
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- Perovskite Materials and Applications 7
- Chalcogenide Semiconductor Thin Films 2
- Co-authors
- Kui Yuan (3 shared papers)Yue Guo (2 shared papers)Yibin Huang (1 shared paper)Hao Hu (2 shared papers)Libing Yao (5 shared papers)Jingjing Xue (6 shared papers)Shaochen Zhang (5 shared papers)Jiazhe Xu (5 shared papers)
In The Last Decade
Xiaonan Wang
14 papers receiving 211 citations
Peers
Comparison fields: 5 of 50
- Industrial and Manufacturing Engineering 75
- Computer Vision and Pattern Recognition 59
- Polymers and Plastics 32
- Electrical and Electronic Engineering 83
- Civil and Structural Engineering 26
Countries citing papers authored by Xiaonan Wang
This map shows the geographic impact of Xiaonan 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 Xiaonan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaonan Wang more than expected).
Fields of papers citing papers by Xiaonan Wang
This network shows the impact of papers produced by Xiaonan 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 Xiaonan Wang. The network helps show where Xiaonan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaonan 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 | 2018 | 80 | |
| 2 | 2024 | 45 | |
| 3 | 2022 | 23 | |
| 4 | 2025 | 18 | |
| 5 | 2022 | 13 | |
| 6 | 2022 | 10 | |
| 7 | 2016 | 8 | |
| 8 | 2025 | 7 | |
| 9 | 2019 | 4 | |
| 10 | 2024 | 2 | |
| 11 | 2011 | 1 | |
| 12 | 2025 | 1 | |
| 13 | 2017 | 1 | |
| 14 | 2016 | 1 | |
| 15 | 2026 | 0 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 |
About Xiaonan Wang
Xiaonan Wang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Materials Chemistry, Artificial Intelligence and Aerospace Engineering, having authored 17 papers that have together received 214 indexed citations. Recurring topics across this work include Perovskite Materials and Applications (7 papers), Video Surveillance and Tracking Methods (3 papers), Conducting polymers and applications (2 papers), Quantum Dots Synthesis And Properties (2 papers), Advanced Neural Network Applications (2 papers), Chalcogenide Semiconductor Thin Films (2 papers), Industrial Vision Systems and Defect Detection (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (75 citations), Computer Vision and Pattern Recognition (59 citations), Polymers and Plastics (32 citations), Electrical and Electronic Engineering (83 citations) and Civil and Structural Engineering (26 citations). Xiaonan Wang has collaborated with scholars based in China, Türkiye and Japan. Frequent co-authors include Kui Yuan, Yue Guo, Yibin Huang, Hao Hu, Libing Yao, Jingjing Xue, Shaochen Zhang, Jiazhe Xu, Rui Wang and Yuan Tian. Their work appears in journals such as Archives of Computational Methods in Engineering, ACS Energy Letters, Nature Communications, Advanced Science and IEEE Access.
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.