Chuangyin Dang

198 papers and 6.4k indexed citations i.

About

Chuangyin Dang is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Chuangyin Dang has authored 198 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Computational Theory and Mathematics, 47 papers in Artificial Intelligence and 43 papers in Management Science and Operations Research. Recurrent topics in Chuangyin Dang’s work include Rough Sets and Fuzzy Logic (41 papers), Advanced Optimization Algorithms Research (32 papers) and Data Mining Algorithms and Applications (27 papers). Chuangyin Dang is often cited by papers focused on Rough Sets and Fuzzy Logic (41 papers), Advanced Optimization Algorithms Research (32 papers) and Data Mining Algorithms and Applications (27 papers). Chuangyin Dang collaborates with scholars based in Hong Kong, China and United States. Chuangyin Dang's co-authors include Jiye Liang, Yuhua Qian, Witold Pedrycz, Yiyu Yao, Xingwen Liu, Liang Bai, Hongbin Zhang, Fuyuan Cao, Kwai‐Sang Chin and Yuping Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Automatic Control and European Journal of Operational Research.

In The Last Decade

Co-authorship network of co-authors of Chuangyin Dang i

Fields of papers citing papers by Chuangyin Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chuangyin Dang

Since Specialization
Citations

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