Long Yang

About

Long Yang is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Long Yang has authored 33 papers receiving a total of 176 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Mechanics, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Biomedical Engineering. Recurrent topics in Long Yang’s work include 3D Shape Modeling and Analysis (5 papers), Computer Graphics and Visualization Techniques (4 papers) and Robotics and Sensor-Based Localization (3 papers). Long Yang is often cited by papers focused on 3D Shape Modeling and Analysis (5 papers), Computer Graphics and Visualization Techniques (4 papers) and Robotics and Sensor-Based Localization (3 papers). Long Yang collaborates with scholars based in China, Japan and South Korea. Long Yang's co-authors include Chunxia Xiao, Qingan Yan, Yang Wang, Yong Fang, Tianhong Zhou, Qian Li, Lichao Ge, Jing Huang, Zhengrong Li and Feng Gao and has published in prestigious journals such as Frontiers in Microbiology, Energy and Frontiers in Plant Science.

In The Last Decade

Co-authorship network of co-authors of Long Yang i

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Fields of papers citing papers by Long Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Long 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 Long Yang. The network helps show where Long Yang may publish in the future.

Countries citing papers authored by Long Yang

Since Specialization

Citations

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