Jing Dong

25 papers and 249 indexed citations i.

About

Jing Dong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Jing Dong has authored 25 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 8 papers in Computational Mechanics. Recurrent topics in Jing Dong’s work include Sparse and Compressive Sensing Techniques (8 papers), Image and Signal Denoising Methods (7 papers) and Blind Source Separation Techniques (5 papers). Jing Dong is often cited by papers focused on Sparse and Compressive Sensing Techniques (8 papers), Image and Signal Denoising Methods (7 papers) and Blind Source Separation Techniques (5 papers). Jing Dong collaborates with scholars based in China, United Kingdom and United States. Jing Dong's co-authors include Wenwu Wang, Yuxin Zhao, Zhichao Xue, Wei Dai, Chang Liu, Jonathon A. Chambers, Ryad Chellali, Ming Sheng, Han Zhang and Rui Zhou and has published in prestigious journals such as IEEE Transactions on Signal Processing, Neurocomputing and Neural Networks.

In The Last Decade

Co-authorship network of co-authors of Jing Dong i

Fields of papers citing papers by Jing Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jing Dong

Since Specialization
Citations

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