Haiqin Yang

66 papers and 1.8k indexed citations i.

About

Haiqin Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Haiqin Yang has authored 66 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 11 papers in Information Systems. Recurrent topics in Haiqin Yang’s work include Recommender Systems and Techniques (10 papers), Topic Modeling (10 papers) and Face and Expression Recognition (10 papers). Haiqin Yang is often cited by papers focused on Recommender Systems and Techniques (10 papers), Topic Modeling (10 papers) and Face and Expression Recognition (10 papers). Haiqin Yang collaborates with scholars based in China, Hong Kong and United States. Haiqin Yang's co-authors include Irwin King, Michael R. Lyu, Cheng Chen, Kaizhu Huang, Zenglin Xu, Shenglin Zhao, Rong Jin, Tong Zhao, Laiwan Chan and Jieping Ye and has published in prestigious journals such as The Journal of Organic Chemistry, Journal of Chromatography A and IEEE Transactions on Biomedical Engineering.

In The Last Decade

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

Fields of papers citing papers by Haiqin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Haiqin Yang

Since Specialization
Citations

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