Qiang Yang

About

Qiang Yang is a scholar working on Artificial Intelligence, Materials Chemistry and Mechanical Engineering. According to data from OpenAlex, Qiang Yang has authored 35 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 10 papers in Materials Chemistry and 6 papers in Mechanical Engineering. Recurrent topics in Qiang Yang’s work include Topic Modeling (9 papers), Advanced Graph Neural Networks (5 papers) and Data Quality and Management (5 papers). Qiang Yang is often cited by papers focused on Topic Modeling (9 papers), Advanced Graph Neural Networks (5 papers) and Data Quality and Management (5 papers). Qiang Yang collaborates with scholars based in China, Saudi Arabia and United States. Qiang Yang's co-authors include Huadong Fu, Jianxin Xie, Zhihao Zhang, Zhihao Zhang, Zhixu Li, Zhou Weiyuan, Zhigang Chen, An Liu, Xiangliang Zhang and Lei Zhao and has published in prestigious journals such as Applied Physics Letters, Journal of Chromatography A and Materials Science and Engineering A.

In The Last Decade

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

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Fields of papers citing papers by Qiang Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qiang Yang

Since Specialization

Citations

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