Teng-Yu Ji

25 papers and 885 indexed citations i.

About

Teng-Yu Ji is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computational Mathematics. According to data from OpenAlex, Teng-Yu Ji has authored 25 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 20 papers in Computational Mechanics and 12 papers in Computational Mathematics. Recurrent topics in Teng-Yu Ji’s work include Sparse and Compressive Sensing Techniques (20 papers), Image and Signal Denoising Methods (19 papers) and Tensor decomposition and applications (12 papers). Teng-Yu Ji is often cited by papers focused on Sparse and Compressive Sensing Techniques (20 papers), Image and Signal Denoising Methods (19 papers) and Tensor decomposition and applications (12 papers). Teng-Yu Ji collaborates with scholars based in China, Spain and Japan. Teng-Yu Ji's co-authors include Ting‐Zhu Huang, Xi-Le Zhao, Tian-Hui Ma, Tai-Xiang Jiang, Yu‐Bang Zheng, Liang-Jian Deng, Jing‐Hua Yang, Gang Liu, Naoto Yokoya and Xiao Xiang Zhu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Teng-Yu Ji i

Fields of papers citing papers by Teng-Yu Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Teng-Yu Ji. 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 Teng-Yu Ji. The network helps show where Teng-Yu Ji may publish in the future.

Countries citing papers authored by Teng-Yu Ji

Since Specialization
Citations

This map shows the geographic impact of Teng-Yu Ji'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 Teng-Yu Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teng-Yu Ji 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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2025