Qingzhou Mao

57 papers and 1.8k indexed citations i.

About

Qingzhou Mao is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering and Geology. According to data from OpenAlex, Qingzhou Mao has authored 57 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 20 papers in Environmental Engineering and 17 papers in Geology. Recurrent topics in Qingzhou Mao’s work include Remote Sensing and LiDAR Applications (20 papers), 3D Surveying and Cultural Heritage (17 papers) and Infrastructure Maintenance and Monitoring (13 papers). Qingzhou Mao is often cited by papers focused on Remote Sensing and LiDAR Applications (20 papers), 3D Surveying and Cultural Heritage (17 papers) and Infrastructure Maintenance and Monitoring (13 papers). Qingzhou Mao collaborates with scholars based in China, United States and United Kingdom. Qingzhou Mao's co-authors include Qingquan Li, Qin Zou, Song Wang, Yu Cao, Baoding Zhou, Wei Tu, Qingwu Hu, Hao Cui, Xing Zhang and Daqiang Zhang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Optics Express and Sensors.

In The Last Decade

Co-authorship network of co-authors of Qingzhou Mao i

Fields of papers citing papers by Qingzhou Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Qingzhou Mao

Since Specialization
Citations

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).

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.

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