Sheng-Jun Huang

60 papers and 2.0k indexed citations i.

About

Sheng-Jun Huang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Sheng-Jun Huang has authored 60 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 7 papers in Information Systems. Recurrent topics in Sheng-Jun Huang’s work include Text and Document Classification Technologies (27 papers), Machine Learning and Algorithms (18 papers) and Machine Learning and Data Classification (15 papers). Sheng-Jun Huang is often cited by papers focused on Text and Document Classification Technologies (27 papers), Machine Learning and Algorithms (18 papers) and Machine Learning and Data Classification (15 papers). Sheng-Jun Huang collaborates with scholars based in China, United States and Macao. Sheng-Jun Huang's co-authors include Zhi‐Hua Zhou, Songcan Chen, Chuanxing Geng, Rong Jin, Ming-Kun Xie, Min-Ling Zhang, Yu-Feng Li, Jiansheng Wu, Daoqiang Zhang and Wei Gao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Sheng-Jun Huang i

Fields of papers citing papers by Sheng-Jun Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sheng-Jun Huang

Since Specialization
Citations

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