Dongjin Song

44 papers and 940 indexed citations i.

About

Dongjin Song is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Dongjin Song has authored 44 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 10 papers in Signal Processing. Recurrent topics in Dongjin Song’s work include Time Series Analysis and Forecasting (10 papers), Domain Adaptation and Few-Shot Learning (10 papers) and Advanced Graph Neural Networks (9 papers). Dongjin Song is often cited by papers focused on Time Series Analysis and Forecasting (10 papers), Domain Adaptation and Few-Shot Learning (10 papers) and Advanced Graph Neural Networks (9 papers). Dongjin Song collaborates with scholars based in United States, China and Australia. Dongjin Song's co-authors include Dacheng Tao, David Meyer, Jingchao Ni, Bo Zong, Wei Cheng, Haifeng Chen, Cristian Lumezanu, Yuncong Chen, Chuxu Zhang and Xinyang Feng and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Cleaner Production and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Dongjin Song i

Fields of papers citing papers by Dongjin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dongjin Song

Since Specialization
Citations

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