Yanyan Wang
- Industrial and Manufacturing Engineering top 1%
- Computer Vision and Pattern Recognition top 5%
- Civil and Structural Engineering top 5%
- Mechanical Engineering top 10%
- Artificial Intelligence top 10%
- Co-authors
- Kechen SongYunhui YanXingjie LiYanqi BaoHan YuJie LiuMenghui NiuHongwen Dong
- Topics
- Infrastructure Maintenance and Monitoring (11 papers)Anomaly Detection Techniques and Applications (9 papers)Non-Destructive Testing Techniques (7 papers)
- Cited by
- Industrial and Manufacturing EngineeringComputer Vision and Pattern RecognitionCivil and Structural Engineering
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yanyan Wang
63 papers receiving 981 citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Industrial and Manufacturing Engineering 345
- Computer Vision and Pattern Recognition 317
- Civil and Structural Engineering 198
- Mechanical Engineering 181
- Artificial Intelligence 118
Countries citing papers authored by Yanyan Wang
This map shows the geographic impact of Yanyan 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 Yanyan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanyan Wang more than expected).
Fields of papers citing papers by Yanyan Wang
This network shows the impact of papers produced by Yanyan 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 Yanyan Wang. The network helps show where Yanyan Wang may publish in the future.
Co-authorship network of co-authors of Yanyan Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yanyan Wang. A scholar is included among the top collaborators of Yanyan Wang 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 Yanyan Wang. Yanyan Wang 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 | 5 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 18 | |
| 11 | 0 | |
| 12 | 38 | |
| 13 | 41 | |
| 14 | 19 | |
| 15 | 1 | |
| 16 | 46 | |
| 17 | 5 | |
| 18 | 18 | |
| 19 | 33 | |
| 20 | 25 |
About Yanyan Wang
Yanyan Wang is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Civil and Structural Engineering, having authored 75 papers that have together received 999 indexed citations. Recurring topics across this work include Infrastructure Maintenance and Monitoring (11 papers), Anomaly Detection Techniques and Applications (9 papers) and Non-Destructive Testing Techniques (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (345 citations), Computer Vision and Pattern Recognition (317 citations) and Civil and Structural Engineering (198 citations). Yanyan Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kechen Song, Yunhui Yan, Xingjie Li, Yanqi Bao, Han Yu, Jie Liu, Menghui Niu, Hongwen Dong, Jie Liu and Shuai Ma. Their work appears in journals such as Scientific Reports, The FASEB Journal and Environmental Pollution.
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.