Jing‐Hua Yang

30 papers and 446 indexed citations i.

About

Jing‐Hua Yang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computational Mathematics. According to data from OpenAlex, Jing‐Hua Yang has authored 30 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 15 papers in Computational Mechanics and 12 papers in Computational Mathematics. Recurrent topics in Jing‐Hua Yang’s work include Sparse and Compressive Sensing Techniques (15 papers), Tensor decomposition and applications (12 papers) and Image and Signal Denoising Methods (8 papers). Jing‐Hua Yang is often cited by papers focused on Sparse and Compressive Sensing Techniques (15 papers), Tensor decomposition and applications (12 papers) and Image and Signal Denoising Methods (8 papers). Jing‐Hua Yang collaborates with scholars based in China, Hong Kong and Macao. Jing‐Hua Yang's co-authors include Xi-Le Zhao, Ting‐Zhu Huang, Tian-Hui Ma, Meng Ding, Teng-Yu Ji, Yong Chen, Chuan Chen, Lele Fu, Michael K. Ng and Tai-Xiang Jiang and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Jing‐Hua Yang i

Fields of papers citing papers by Jing‐Hua Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jing‐Hua Yang

Since Specialization
Citations

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