Yu‐Hong Dai

122 papers and 2.9k indexed citations i.

About

Yu‐Hong Dai is a scholar working on Numerical Analysis, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Yu‐Hong Dai has authored 122 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Numerical Analysis, 51 papers in Computational Mechanics and 47 papers in Computational Theory and Mathematics. Recurrent topics in Yu‐Hong Dai’s work include Advanced Optimization Algorithms Research (66 papers), Sparse and Compressive Sensing Techniques (46 papers) and Optimization and Variational Analysis (25 papers). Yu‐Hong Dai is often cited by papers focused on Advanced Optimization Algorithms Research (66 papers), Sparse and Compressive Sensing Techniques (46 papers) and Optimization and Variational Analysis (25 papers). Yu‐Hong Dai collaborates with scholars based in China, United States and Hong Kong. Yu‐Hong Dai's co-authors include R. Fletcher, Ya‐Feng Liu, Caixia Kou, Zhi‐Quan Luo, Ya-xiang Yuan, Hongchao Zhang, Bin Zhou, Li Gao, Xinwei Liu and Klaus Schittkowski and has published in prestigious journals such as IEEE Transactions on Automatic Control, European Journal of Operational Research and IEEE Transactions on Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Yu‐Hong Dai i

Fields of papers citing papers by Yu‐Hong Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Hong Dai. 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 Yu‐Hong Dai. The network helps show where Yu‐Hong Dai may publish in the future.

Countries citing papers authored by Yu‐Hong Dai

Since Specialization
Citations

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