Hao Yang
Impact in
- Geology top 0.5%
- 3D Surveying and Cultural Heritage
-
- Infrastructure Maintenance and Monitoring
- Structural Health Monitoring Techniques
- Structural Load-Bearing Analysis
Papers in
-
- Infrastructure Maintenance and Monitoring 20
- Structural Health Monitoring Techniques 12
- Concrete Corrosion and Durability 5
- Geology 35
- 3D Surveying and Cultural Heritage 35
- Co-authors
- Xiangyang Xu (50 shared papers)Ingo Neumann (18 shared papers)R. Augello (6 shared papers)Erasmo Carrera (6 shared papers)Peixin Shi (5 shared papers)Xiaojun Wei (4 shared papers)Xuhui He (4 shared papers)Ruiqi Ren (1 shared paper)
In The Last Decade
Hao Yang
78 papers receiving 2.0k citations
Hao Yang's Hit Papers
Peers
Comparison fields: 5 of 120
- Geology 626
- Civil and Structural Engineering 965
- Environmental Engineering 453
- Mechanics of Materials 455
- Computer Vision and Pattern Recognition 342
Countries citing papers authored by Hao Yang
This map shows the geographic impact of Hao Yang'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 Hao Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Yang more than expected).
Fields of papers citing papers by Hao Yang
This network shows the impact of papers produced by Hao Yang. 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 Hao Yang. The network helps show where Hao Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Yang, 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Crack Detection and Comparison Study Based on Faster R-CNN and Mask R-CNN Hit paper breakdown → | 2022 | 244 |
| 2 | 2016 | 105 | |
| 3 | 2018 | 79 | |
| 4 | 2020 | 71 | |
| 5 | 2019 | 70 | |
| 6 | 2020 | 62 | |
| 7 | 2019 | 62 | |
| 8 | 2022 | 61 | |
| 9 | 2021 | 59 | |
| 10 | 2015 | 57 | |
| 11 | 2017 | 57 | |
| 12 | 2016 | 56 | |
| 13 | 2014 | 55 | |
| 14 | 2017 | 53 | |
| 15 | 2020 | 50 | |
| 16 | 2019 | 48 | |
| 17 | 2018 | 42 | |
| 18 | 2017 | 41 | |
| 19 | 2017 | 40 | |
| 20 | 2019 | 36 |
About Hao Yang
Hao Yang is a scholar working on Civil and Structural Engineering, Geology, Environmental Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 84 papers that have together received 2.0k indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (35 papers), Remote Sensing and LiDAR Applications (24 papers), Infrastructure Maintenance and Monitoring (20 papers), Optical measurement and interference techniques (18 papers), Structural Health Monitoring Techniques (12 papers), Composite Structure Analysis and Optimization (9 papers), Concrete Corrosion and Durability (5 papers) and Vibration and Dynamic Analysis (5 papers). The work is most often cited by research in Geology (626 citations), Civil and Structural Engineering (965 citations), Environmental Engineering (453 citations), Mechanics of Materials (455 citations) and Computer Vision and Pattern Recognition (342 citations). Hao Yang has collaborated with scholars based in China, Germany and Italy. Frequent co-authors include Xiangyang Xu, Ingo Neumann, R. Augello, Erasmo Carrera, Peixin Shi, Xiaojun Wei, Xuhui He, Ruiqi Ren, Boris Kargoll and C.Y. Dong. Their work appears in journals such as Composite Structures, Mechanics of Advanced Materials and Structures, Sensors, Symmetry and Materials Science and Engineering A.
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.