Tian Fang

14 papers and 510 indexed citations i.

About

Tian Fang is a scholar working on Environmental Engineering, Computer Vision and Pattern Recognition and Geology. According to data from OpenAlex, Tian Fang has authored 14 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Environmental Engineering, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Geology. Recurrent topics in Tian Fang’s work include Remote Sensing and LiDAR Applications (10 papers), 3D Surveying and Cultural Heritage (8 papers) and Advanced Vision and Imaging (6 papers). Tian Fang is often cited by papers focused on Remote Sensing and LiDAR Applications (10 papers), 3D Surveying and Cultural Heritage (8 papers) and Advanced Vision and Imaging (6 papers). Tian Fang collaborates with scholars based in Hong Kong, China and France. Tian Fang's co-authors include Long Quan, Jianxiong Xiao, Peng Zhao, Liqiang Zhang, P. Takis Mathiopoulos, Maxime Lhuillier, Huamin Qu, Xiaohua Tong, P. Tan and Zhiqiang Xiao and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and ACM Transactions on Graphics.

In The Last Decade

Co-authorship network of co-authors of Tian Fang i

Fields of papers citing papers by Tian Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tian Fang

Since Specialization
Citations

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