Zhaoyun Sun
- Civil and Structural Engineering top 5%
- Mechanical Engineering
- Computer Vision and Pattern Recognition top 10%
- Ocean Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Lili PeiWei LiJu HuyanLiyang XiaoJing SunHassan ElahiHe ZhangAimin Sha
- Topics
- Infrastructure Maintenance and Monitoring (29 papers)Asphalt Pavement Performance Evaluation (22 papers)Concrete Corrosion and Durability (6 papers)
In The Last Decade
Zhaoyun Sun
42 papers receiving 518 citations
Peers
Comparison fields: 5 of 74
- Civil and Structural Engineering 324
- Mechanical Engineering 88
- Computer Vision and Pattern Recognition 85
- Ocean Engineering 65
- Electrical and Electronic Engineering 47
Countries citing papers authored by Zhaoyun Sun
This map shows the geographic impact of Zhaoyun Sun'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 Zhaoyun Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhaoyun Sun more than expected).
Fields of papers citing papers by Zhaoyun Sun
This network shows the impact of papers produced by Zhaoyun Sun. 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 Zhaoyun Sun. The network helps show where Zhaoyun Sun may publish in the future.
Co-authorship network of co-authors of Zhaoyun Sun
This figure shows the co-authorship network connecting the top 25 collaborators of Zhaoyun Sun. A scholar is included among the top collaborators of Zhaoyun Sun 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 Zhaoyun Sun. Zhaoyun Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 18 | |
| 4 | 27 | |
| 5 | 10 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 14 | |
| 11 | 0 | |
| 12 | 0 | |
| 13 | 32 | |
| 14 | 8 | |
| 15 | An image-based mineral gradation measurement method of asphalt mixture | 3 |
| 16 | 2 | |
| 17 | Research and Design on Algorithm of Auto-generating Test Papers Based on Course Examination of Universities | 1 |
| 18 | 2 | |
| 19 | Pavement Crack Automatic Recognition Based on Phase-grouping Method | 4 |
| 20 | Realization of threshold segmentation algorithm in asphalt mixture | 2 |
About Zhaoyun Sun
Zhaoyun Sun is a scholar working on Civil and Structural Engineering, Business and International Management and Computer Vision and Pattern Recognition, having authored 46 papers that have together received 531 indexed citations. Recurring topics across this work include Infrastructure Maintenance and Monitoring (29 papers), Asphalt Pavement Performance Evaluation (22 papers) and Concrete Corrosion and Durability (6 papers). The work is most often cited by research in Civil and Structural Engineering (324 citations), Ocean Engineering (65 citations) and Computer Vision and Pattern Recognition (85 citations). Zhaoyun Sun has collaborated with scholars based in China, Canada and Pakistan. Frequent co-authors include Lili Pei, Wei Li, Ju Huyan, Liyang Xiao, Jing Sun, Hassan Elahi, He Zhang, Aimin Sha, Altaf Hussain and Susan Tighe. Their work appears in journals such as Construction and Building Materials, Sensors and Applied Sciences.
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.