Minghan Yang

49 papers and 320 indexed citations i.

About

Minghan Yang is a scholar working on Artificial Intelligence, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Minghan Yang has authored 49 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Aerospace Engineering and 7 papers in Computational Mechanics. Recurrent topics in Minghan Yang’s work include Nuclear reactor physics and engineering (7 papers), Sparse and Compressive Sensing Techniques (5 papers) and Stochastic Gradient Optimization Techniques (4 papers). Minghan Yang is often cited by papers focused on Nuclear reactor physics and engineering (7 papers), Sparse and Compressive Sensing Techniques (5 papers) and Stochastic Gradient Optimization Techniques (4 papers). Minghan Yang collaborates with scholars based in China, Taiwan and Hong Kong. Minghan Yang's co-authors include Jianye Wang, Ping Sheng, Jie Yu, Weijun Kong, I‐Chun Chen, Lidong Zhou, Yujiao Hou, Yen‐Shen Lu, Peng Xu and Yingwei Song and has published in prestigious journals such as Journal of Applied Physics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Virology.

In The Last Decade

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

Fields of papers citing papers by Minghan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Minghan Yang

Since Specialization
Citations

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