Guang-Yu Nie

7 papers and 206 indexed citations i.

About

Guang-Yu Nie is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Mechanical Engineering. According to data from OpenAlex, Guang-Yu Nie has authored 7 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 2 papers in Cognitive Neuroscience and 2 papers in Mechanical Engineering. Recurrent topics in Guang-Yu Nie’s work include Infrastructure Maintenance and Monitoring (2 papers), Advanced Vision and Imaging (2 papers) and 3D Surveying and Cultural Heritage (2 papers). Guang-Yu Nie is often cited by papers focused on Infrastructure Maintenance and Monitoring (2 papers), Advanced Vision and Imaging (2 papers) and 3D Surveying and Cultural Heritage (2 papers). Guang-Yu Nie collaborates with scholars based in United States, China and Australia. Guang-Yu Nie's co-authors include Ming‐Ming Cheng, Yun Liu, Yue Liu, Yongtian Wang, Meng Wang, Xinyu Zhang, Zhengfa Liang, Deng-Ping Fan, Henry Been‐Lirn Duh and Kevin Han and has published in prestigious journals such as Sensors, IEEE Transactions on Cybernetics and Journal of Construction Engineering and Management.

In The Last Decade

Co-authorship network of co-authors of Guang-Yu Nie i

Fields of papers citing papers by Guang-Yu Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guang-Yu Nie. 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 Guang-Yu Nie. The network helps show where Guang-Yu Nie may publish in the future.

Countries citing papers authored by Guang-Yu Nie

Since Specialization
Citations

This map shows the geographic impact of Guang-Yu Nie'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 Guang-Yu Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guang-Yu Nie 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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2025