Dongjin Song

40 papers and 820 indexed citations i.

Dongjin Song has authored 40 papers that have received a total of 820 indexed citations. This includes 26 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 9 papers in Signal Processing. The topics of these papers are Domain Adaptation and Few-Shot Learning (9 papers), Time Series Analysis and Forecasting (9 papers) and Advanced Graph Neural Networks (9 papers). Dongjin Song is often cited by papers focused on Domain Adaptation and Few-Shot Learning (9 papers), Time Series Analysis and Forecasting (9 papers) and Advanced Graph Neural Networks (9 papers) and collaborates with scholars based in United States, China and Australia. Dongjin Song's co-authors include Jingchao Ni, Bo Zong, David Meyer, Wei Cheng and Haifeng Chen 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