Changlong Wang
Impact in
-
- Non-Destructive Testing Techniques
- Welding Techniques and Residual Stresses
Papers in
-
- Image Enhancement Techniques 5
- Image and Signal Denoising Methods 4
-
- Advanced Image Fusion Techniques 4
- Co-authors
- Yongke Li (5 shared papers)Hailong Chen (2 shared papers)Bin Wu (2 shared papers)Chao Xu (2 shared papers)Yuhua Zhang (9 shared papers)Weiguo Wang (1 shared paper)Qintao Gan (1 shared paper)Bin Xiang (9 shared papers)
In The Last Decade
Changlong Wang
45 papers receiving 391 citations
Peers
Comparison fields: 5 of 63
- Metals and Alloys 11
- Mechanical Engineering 125
- Mechanics of Materials 66
- Electronic, Optical and Magnetic Materials 47
- Computer Networks and Communications 52
Countries citing papers authored by Changlong Wang
This map shows the geographic impact of Changlong 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 Changlong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changlong Wang more than expected).
Fields of papers citing papers by Changlong Wang
This network shows the impact of papers produced by Changlong 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 Changlong Wang. The network helps show where Changlong Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Changlong 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 43 | |
| 2 | 2019 | 41 | |
| 3 | 2017 | 41 | |
| 4 | 2022 | 30 | |
| 5 | 2014 | 29 | |
| 6 | 2023 | 24 | |
| 7 | 2009 | 23 | |
| 8 | 2019 | 21 | |
| 9 | 2007 | 16 | |
| 10 | 2018 | 12 | |
| 11 | 2023 | 10 | |
| 12 | 2020 | 8 | |
| 13 | 2019 | 8 | |
| 14 | 2020 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2018 | 6 | |
| 17 | 2010 | 6 | |
| 18 | 2025 | 6 | |
| 19 | 2015 | 5 | |
| 20 | 2024 | 5 |
About Changlong Wang
Changlong Wang is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Electronic, Optical and Magnetic Materials, Mechanical Engineering and Mechanics of Materials, having authored 48 papers that have together received 406 indexed citations. Recurring topics across this work include Non-Destructive Testing Techniques (9 papers), 2D Materials and Applications (7 papers), Ultrasonics and Acoustic Wave Propagation (6 papers), Topological Materials and Phenomena (5 papers), Image Enhancement Techniques (5 papers), Image and Signal Denoising Methods (4 papers), Advanced Image Fusion Techniques (4 papers) and Neural Networks Stability and Synchronization (4 papers). The work is most often cited by research in Metals and Alloys (11 citations), Mechanical Engineering (125 citations), Mechanics of Materials (66 citations), Electronic, Optical and Magnetic Materials (47 citations) and Computer Networks and Communications (52 citations). Changlong Wang has collaborated with scholars based in China, Belgium and Ukraine. Frequent co-authors include Yongke Li, Hailong Chen, Bin Wu, Chao Xu, Yuhua Zhang, Weiguo Wang, Qintao Gan, Bin Xiang, Sha-Sha Wang and Ying Zhang. Their work appears in journals such as IEEE Access, Insight - Non-Destructive Testing and Condition Monitoring, Small, Electronics and Frontiers of Computer Science.
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.