Fengqin Yang

20 papers and 346 indexed citations i.

About

Fengqin Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Fengqin Yang has authored 20 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Fengqin Yang’s work include Advanced Clustering Algorithms Research (3 papers), Topic Modeling (3 papers) and Web Data Mining and Analysis (3 papers). Fengqin Yang is often cited by papers focused on Advanced Clustering Algorithms Research (3 papers), Topic Modeling (3 papers) and Web Data Mining and Analysis (3 papers). Fengqin Yang collaborates with scholars based in China and United States. Fengqin Yang's co-authors include Tieli Sun, Changhai Zhang, Minghao Yin, Xiangtao Li, Wen-Xiang Gu, Yanmei Hu, Jing Li, Hua Jiang, Yu Guan and Libiao Zhang and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Computers & Geosciences.

In The Last Decade

Co-authorship network of co-authors of Fengqin Yang i

Fields of papers citing papers by Fengqin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fengqin Yang

Since Specialization
Citations

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