Yanling Xu
- Mechanical Engineering top 1%
- Industrial and Manufacturing Engineering top 0.5%
- Computer Vision and Pattern Recognition top 2%
- Automotive Engineering top 2%
- Mechanics of Materials top 5%
- Topics
- Welding Techniques and Residual Stresses (33 papers)Industrial Vision Systems and Defect Detection (12 papers)Non-Destructive Testing Techniques (8 papers)
- Journals
- Journal of Alloys and CompoundsJournal of Materials Processing TechnologyMechanical Systems and Signal Processing
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Yanling Xu
47 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Mechanical Engineering 1.7k
- Industrial and Manufacturing Engineering 743
- Computer Vision and Pattern Recognition 479
- Automotive Engineering 377
- Mechanics of Materials 282
Countries citing papers authored by Yanling Xu
This map shows the geographic impact of Yanling Xu'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 Yanling Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanling Xu more than expected).
Fields of papers citing papers by Yanling Xu
This network shows the impact of papers produced by Yanling Xu. 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 Yanling Xu. The network helps show where Yanling Xu may publish in the future.
Co-authorship network of co-authors of Yanling Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Yanling Xu. A scholar is included among the top collaborators of Yanling Xu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yanling Xu. Yanling Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 26 | |
| 6 | 0 | |
| 7 | 24 | |
| 8 | 71 | |
| 9 | 21 | |
| 10 | 15 | |
| 11 | A review on wire arc additive manufacturing: Monitoring, control and a framework of automated systembreakdown → | 304 |
| 12 | 19 | |
| 13 | 125 | |
| 14 | 11 | |
| 15 | 8 | |
| 16 | 3 | |
| 17 | 75 | |
| 18 | 3 | |
| 19 | 50 | |
| 20 | 19 |
About Yanling Xu
Yanling Xu is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Computer Vision and Pattern Recognition, having authored 49 papers that have together received 2.2k indexed citations. Recurring topics across this work include Welding Techniques and Residual Stresses (33 papers), Industrial Vision Systems and Defect Detection (12 papers) and Non-Destructive Testing Techniques (8 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (743 citations), Mechanical Engineering (1.7k citations) and Automotive Engineering (377 citations). Yanling Xu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Shanben Chen, Shanben Chen, Zhen Hou, Na Lv, Jiyong Zhong, Huabin Chen, Chunyang Xia, Zengxi Pan, Huijun Li and Joseph Polden. Their work appears in journals such as Journal of Alloys and Compounds, Journal of Materials Processing Technology and Mechanical Systems and Signal Processing.
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.