Qingzhou Mao
Impact in
- Civil and Structural Engineering top 0.5%
- Infrastructure Maintenance and Monitoring
- Asphalt Pavement Performance Evaluation
- Concrete Corrosion and Durability
- Geology top 1%
- 3D Surveying and Cultural Heritage
Papers in
-
- Optical measurement and interference techniques 7
-
- Remote Sensing and LiDAR Applications 22
- Co-authors
- Qingquan Li (29 shared papers)Qin Zou (9 shared papers)Song Wang (2 shared papers)Yu Cao (1 shared paper)Baoding Zhou (7 shared papers)Qingwu Hu (11 shared papers)Wei Tu (4 shared papers)Xing Zhang (3 shared papers)
- Journals
- Sensors (7 papers)Measurement (4 papers)ISPRS Journal of Photogrammetry and Remote Sensing (4 papers)Remote Sensing (4 papers)IEEE Access (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Qingzhou Mao
61 papers receiving 2.3k citations
Qingzhou Mao's Hit Papers
Peers
Comparison fields: 5 of 84
- Civil and Structural Engineering 1.3k
- Geology 299
- Transportation 169
- Ocean Engineering 381
- Computer Vision and Pattern Recognition 501
Countries citing papers authored by Qingzhou Mao
This map shows the geographic impact of Qingzhou Mao'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 Qingzhou Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingzhou Mao more than expected).
Fields of papers citing papers by Qingzhou Mao
This network shows the impact of papers produced by Qingzhou Mao. 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 Qingzhou Mao. The network helps show where Qingzhou Mao may publish in the future.
Co-authors
The 25 scholars most cited alongside Qingzhou Mao, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CrackTree: Automatic crack detection from pavement images Hit paper breakdown → | 2011 | 845 |
| 2 | 2011 | 159 | |
| 3 | 2019 | 127 | |
| 4 | 2014 | 124 | |
| 5 | 2019 | 106 | |
| 6 | 2015 | 98 | |
| 7 | 2009 | 97 | |
| 8 | 2017 | 92 | |
| 9 | 2017 | 56 | |
| 10 | 2017 | 55 | |
| 11 | 2017 | 48 | |
| 12 | 2015 | 44 | |
| 13 | 2022 | 43 | |
| 14 | 2021 | 42 | |
| 15 | 2011 | 37 | |
| 16 | 2018 | 36 | |
| 17 | 2019 | 35 | |
| 18 | 2022 | 35 | |
| 19 | 2018 | 26 | |
| 20 | 2012 | 21 |
About Qingzhou Mao
Qingzhou Mao is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering, Civil and Structural Engineering, Geology and Electrical and Electronic Engineering, having authored 67 papers that have together received 2.4k indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (22 papers), 3D Surveying and Cultural Heritage (19 papers), Infrastructure Maintenance and Monitoring (15 papers), Advanced Measurement and Detection Methods (9 papers), Indoor and Outdoor Localization Technologies (8 papers), Robotics and Sensor-Based Localization (8 papers), Optical measurement and interference techniques (7 papers) and Railway Engineering and Dynamics (6 papers). The work is most often cited by research in Civil and Structural Engineering (1.3k citations), Geology (299 citations), Transportation (169 citations), Ocean Engineering (381 citations) and Computer Vision and Pattern Recognition (501 citations). Qingzhou Mao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qingquan Li, Qin Zou, Song Wang, Yu Cao, Baoding Zhou, Qingwu Hu, Wei Tu, Xing Zhang, Daqiang Zhang and Chenguang Liu. Their work appears in journals such as Sensors, Measurement, ISPRS Journal of Photogrammetry and Remote Sensing, Remote Sensing and IEEE Access.
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.