Nanxing Wu
Impact in
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- Industrial Vision Systems and Defect Detection
- Mechanics of Materials top 10%
- Ultrasonics and Acoustic Wave Propagation
- Metal and Thin Film Mechanics
- Composite Structure Analysis and Optimization
Papers in
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- Metal and Thin Film Mechanics 10
-
- Advanced Surface Polishing Techniques 15
- Co-authors
- Zhicheng Huang (9 shared papers)Xingguo Wang (7 shared papers)Fulei Chu (2 shared papers)Huiling Zhang (8 shared papers)Qi Zheng (7 shared papers)Junjie Chang (2 shared papers)Wenjie Li (1 shared paper)Xin Zhang (1 shared paper)
- Journals
- Ceramics International (5 papers)Materials (3 papers)Scientific Reports (2 papers)AIP Advances (2 papers)Composite Structures (2 papers)
- Partner nations
- China
In The Last Decade
Nanxing Wu
45 papers receiving 240 citations
Peers
Comparison fields: 5 of 47
- Industrial and Manufacturing Engineering 48
- Mechanics of Materials 93
- Ceramics and Composites 16
- Mechanical Engineering 92
- Computer Vision and Pattern Recognition 40
Countries citing papers authored by Nanxing Wu
This map shows the geographic impact of Nanxing Wu'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 Nanxing Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nanxing Wu more than expected).
Fields of papers citing papers by Nanxing Wu
This network shows the impact of papers produced by Nanxing Wu. 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 Nanxing Wu. The network helps show where Nanxing Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Nanxing Wu, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 25 | |
| 2 | 2017 | 24 | |
| 3 | 2021 | 22 | |
| 4 | 2022 | 20 | |
| 5 | 2018 | 15 | |
| 6 | 2020 | 9 | |
| 7 | 2022 | 9 | |
| 8 | 2022 | 8 | |
| 9 | 2020 | 8 | |
| 10 | 2023 | 7 | |
| 11 | 2021 | 6 | |
| 12 | 2022 | 6 | |
| 13 | 2019 | 6 | |
| 14 | 2023 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2017 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2024 | 3 |
About Nanxing Wu
Nanxing Wu is a scholar working on Mechanics of Materials, Biomedical Engineering, Mechanical Engineering, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 51 papers that have together received 243 indexed citations. Recurring topics across this work include Advanced Surface Polishing Techniques (15 papers), Industrial Vision Systems and Defect Detection (14 papers), Metal and Thin Film Mechanics (10 papers), Advanced ceramic materials synthesis (10 papers), Diamond and Carbon-based Materials Research (8 papers), Advanced machining processes and optimization (4 papers), Optical measurement and interference techniques (4 papers) and Image Enhancement Techniques (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (48 citations), Mechanics of Materials (93 citations), Ceramics and Composites (16 citations), Mechanical Engineering (92 citations) and Computer Vision and Pattern Recognition (40 citations). Nanxing Wu has collaborated with scholars based in China. Frequent co-authors include Zhicheng Huang, Xingguo Wang, Fulei Chu, Huiling Zhang, Qi Zheng, Junjie Chang, Wenjie Li, Xin Zhang, Jun Li and Mengjuan Zhong. Their work appears in journals such as Ceramics International, Materials, Scientific Reports, AIP Advances and Composite Structures.
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.