Songfang Huang

65 papers and 1.0k indexed citations i.

About

Songfang Huang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Songfang Huang has authored 65 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 29 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Songfang Huang’s work include Natural Language Processing Techniques (39 papers), Topic Modeling (37 papers) and Multimodal Machine Learning Applications (22 papers). Songfang Huang is often cited by papers focused on Natural Language Processing Techniques (39 papers), Topic Modeling (37 papers) and Multimodal Machine Learning Applications (22 papers). Songfang Huang collaborates with scholars based in China, United States and United Kingdom. Songfang Huang's co-authors include Yansong Feng, Chuanqi Tan, Fei Huang, Dongyan Zhao, Kun Xu, Steve Renals, Bin Bi, Zheng Wang, Zheng Yuan and Fuli Luo and has published in prestigious journals such as Neuropsychopharmacology, ACM Computing Surveys and Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Songfang Huang i

Fields of papers citing papers by Songfang Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Songfang Huang

Since Specialization
Citations

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