Dong Yin

19 papers and 321 indexed citations i.

About

Dong Yin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Dong Yin has authored 19 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Dong Yin’s work include Sparse and Compressive Sensing Techniques (4 papers), Stochastic Gradient Optimization Techniques (2 papers) and Error Correcting Code Techniques (2 papers). Dong Yin is often cited by papers focused on Sparse and Compressive Sensing Techniques (4 papers), Stochastic Gradient Optimization Techniques (2 papers) and Error Correcting Code Techniques (2 papers). Dong Yin collaborates with scholars based in United States, China and South Korea. Dong Yin's co-authors include Kannan Ramchandran, Avishek Ghosh, Peter L. Bartlett, Yudong Chen, Ramtin Pedarsani, Rong Zhang, Xin Zhan, Kangwook Lee, Rong Zhang and Christopher J. Rozell and has published in prestigious journals such as IEEE Transactions on Information Theory, Sustainability and Machine Learning.

In The Last Decade

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

Fields of papers citing papers by Dong Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dong Yin

Since Specialization
Citations

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