Tiejun Yang

38 papers and 357 indexed citations
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About

Tiejun Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Tiejun Yang has authored 38 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 9 papers in Biomedical Engineering. Recurrent topics in Tiejun Yang’s work include Face and Expression Recognition (8 papers), Medical Image Segmentation Techniques (6 papers) and Sparse and Compressive Sensing Techniques (6 papers). Tiejun Yang is often cited by papers focused on Face and Expression Recognition (8 papers), Medical Image Segmentation Techniques (6 papers) and Sparse and Compressive Sensing Techniques (6 papers). Tiejun Yang collaborates with scholars based in China and United States. Tiejun Yang's co-authors include Lei Li, Jianyu Miao, Lei Li, Tingting Wu, Xuan Fei, Yong Shi, Lijun Sun, Lingfeng Niu, Qi Tang and Yitao Liang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Analytica Chimica Acta.

In The Last Decade

Co-authorship network of co-authors of Tiejun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Tiejun Yang. A scholar is included among the top collaborators of Tiejun Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tiejun Yang. Tiejun Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Tiejun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tiejun Yang

Since Specialization
Citations

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