Yongming Song

19 papers and 507 indexed citations i.

About

Yongming Song is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Yongming Song has authored 19 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Management Science and Operations Research, 9 papers in Artificial Intelligence and 8 papers in Computational Theory and Mathematics. Recurrent topics in Yongming Song’s work include Multi-Criteria Decision Making (14 papers), Rough Sets and Fuzzy Logic (8 papers) and Bayesian Modeling and Causal Inference (4 papers). Yongming Song is often cited by papers focused on Multi-Criteria Decision Making (14 papers), Rough Sets and Fuzzy Logic (8 papers) and Bayesian Modeling and Causal Inference (4 papers). Yongming Song collaborates with scholars based in China. Yongming Song's co-authors include Guangxu Li, Jun Hu, Yi Peng, Daji Ergu, Na Liu, Yanhong Li, Tie Li, Yanhong Li, Hongli Zhu and Feng Yuan and has published in prestigious journals such as PLoS ONE, IEEE Access and Journal of the Operational Research Society.

In The Last Decade

Co-authorship network of co-authors of Yongming Song i

Fields of papers citing papers by Yongming Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yongming Song

Since Specialization
Citations

This map shows the geographic impact of Yongming Song'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 Yongming Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yongming Song 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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2025