Dandan Song

56 papers and 674 indexed citations i.

About

Dandan Song is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Dandan Song has authored 56 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 11 papers in Information Systems and 10 papers in Molecular Biology. Recurrent topics in Dandan Song’s work include Topic Modeling (18 papers), Text and Document Classification Technologies (8 papers) and Advanced Graph Neural Networks (7 papers). Dandan Song is often cited by papers focused on Topic Modeling (18 papers), Text and Document Classification Technologies (8 papers) and Advanced Graph Neural Networks (7 papers). Dandan Song collaborates with scholars based in China, United States and Singapore. Dandan Song's co-authors include Lejian Liao, Yang Fang, William K. Cheung, Jing He, Xin Li, Shouyi Yin, Peng Ouyang, Yang Yang, Jingang Wang and Shaojun Wei and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and NeuroImage.

In The Last Decade

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

Fields of papers citing papers by Dandan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dandan Song

Since Specialization
Citations

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