Xiang Fang

20 papers and 309 indexed citations i.

About

Xiang Fang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Xiang Fang has authored 20 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Xiang Fang’s work include Multimodal Machine Learning Applications (6 papers), Human Pose and Action Recognition (6 papers) and Face and Expression Recognition (3 papers). Xiang Fang is often cited by papers focused on Multimodal Machine Learning Applications (6 papers), Human Pose and Action Recognition (6 papers) and Face and Expression Recognition (3 papers). Xiang Fang collaborates with scholars based in China, United States and Singapore. Xiang Fang's co-authors include Pan Zhou, Yuchong Hu, Dapeng Wu, Qidi Wu, Xiong Chen, Daizong Liu, Kevin Kam Fung So, Jochen Wirtz, Hyunsu Kim and Stephanie Q. Liu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications and IEEE Access.

In The Last Decade

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

Fields of papers citing papers by Xiang Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xiang Fang

Since Specialization
Citations

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