Tiankai Yang

About

Tiankai Yang is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Geology. According to data from OpenAlex, Tiankai Yang has authored 6 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Aerospace Engineering, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Geology. Recurrent topics in Tiankai Yang’s work include Robotics and Sensor-Based Localization (6 papers), 3D Surveying and Cultural Heritage (3 papers) and Robotic Path Planning Algorithms (2 papers). Tiankai Yang is often cited by papers focused on Robotics and Sensor-Based Localization (6 papers), 3D Surveying and Cultural Heritage (3 papers) and Robotic Path Planning Algorithms (2 papers). Tiankai Yang collaborates with scholars based in China and Hong Kong. Tiankai Yang's co-authors include Chao Xu, Fei Gao, Yuman Gao, Yanjun Cao, Xin Zhou, Zhepei Wang, Qianhao Wang, Haojian Lu, Fei Gao and Yongchao Wang and has published in prestigious journals such as Science Robotics, arXiv (Cornell University) and 2022 International Conference on Robotics and Automation (ICRA).

In The Last Decade

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

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Fields of papers citing papers by Tiankai Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tiankai Yang

Since Specialization

Citations

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