Yunchao Tang
- Plant Science top 1%
- Civil and Structural Engineering top 0.5%
- Building and Construction top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Mechanical Engineering top 5%
- Topics
- Smart Agriculture and AI (25 papers)Innovative concrete reinforcement materials (24 papers)Structural Behavior of Reinforced Concrete (20 papers)
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Yunchao Tang
85 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Plant Science 2.1k
- Civil and Structural Engineering 1.6k
- Building and Construction 878
- Computer Vision and Pattern Recognition 831
- Mechanical Engineering 531
Countries citing papers authored by Yunchao Tang
This map shows the geographic impact of Yunchao Tang'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 Yunchao Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunchao Tang more than expected).
Fields of papers citing papers by Yunchao Tang
This network shows the impact of papers produced by Yunchao Tang. 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 Yunchao Tang. The network helps show where Yunchao Tang may publish in the future.
Co-authorship network of co-authors of Yunchao Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Yunchao Tang. A scholar is included among the top collaborators of Yunchao Tang 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 Yunchao Tang. Yunchao Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3D vision technologies for a self-developed structural external crack damage recognition robotbreakdown → | 142 |
| 2 | 7 | |
| 3 | 5 | |
| 4 | 12 | |
| 5 | 8 | |
| 6 | 14 | |
| 7 | 9 | |
| 8 | Dynamic visual servo control methods for continuous operation of a fruit harvesting robot working throughout an orchardbreakdown → | 88 |
| 9 | 24 | |
| 10 | Automatic classification of asphalt pavement cracks using a novel integrated generative adversarial networks and improved VGG modelbreakdown → | 100 |
| 11 | 8 | |
| 12 | 24 | |
| 13 | 20 | |
| 14 | 59 | |
| 15 | 11 | |
| 16 | 102 | |
| 17 | 2 | |
| 18 | 42 | |
| 19 | 39 | |
| 20 | Sub-Pixel object-Image Registration Using Improved Iterative Closest Point Method | 1 |
About Yunchao Tang
Yunchao Tang is a scholar working on Civil and Structural Engineering, Building and Construction and Industrial and Manufacturing Engineering, having authored 92 papers that have together received 4.9k indexed citations. Recurring topics across this work include Smart Agriculture and AI (25 papers), Innovative concrete reinforcement materials (24 papers) and Structural Behavior of Reinforced Concrete (20 papers). The work is most often cited by research in Civil and Structural Engineering (1.6k citations), Building and Construction (878 citations) and Plant Science (2.1k citations). Yunchao Tang has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Xiangjun Zou, Mingyou Chen, Guichao Lin, Jinhui Li, Lufeng Luo, Wenxian Feng, Chenglin Wang, Lijuan Li, Hao Zhou and Wanhui Feng. Their work appears in journals such as Journal of Cleaner Production, Scientific Reports and Construction and Building Materials.
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.