Shaohan Huang

45 papers and 963 indexed citations i.

About

Shaohan Huang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Shaohan Huang has authored 45 papers receiving a total of 963 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 9 papers in Computer Networks and Communications. Recurrent topics in Shaohan Huang’s work include Natural Language Processing Techniques (22 papers), Topic Modeling (21 papers) and Software System Performance and Reliability (7 papers). Shaohan Huang is often cited by papers focused on Natural Language Processing Techniques (22 papers), Topic Modeling (21 papers) and Software System Performance and Reliability (7 papers). Shaohan Huang collaborates with scholars based in China, United States and United Kingdom. Shaohan Huang's co-authors include Furu Wei, Ming Zhou, Li Dong, Qingyu Zhou, Nan Yang, Tiejun Zhao, Zhoujun Li, Zhongzhi Luan, Carol Fung and Hailong Yang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of the Mechanics and Physics of Solids and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

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

Fields of papers citing papers by Shaohan Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shaohan Huang

Since Specialization
Citations

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