Y. X. Yang

714 total citations
3 papers, 5 citations indexed

About

Y. X. Yang is a scholar working on Organic Chemistry, Civil and Structural Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Y. X. Yang has authored 3 papers receiving a total of 5 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Organic Chemistry, 1 paper in Civil and Structural Engineering and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Y. X. Yang's work include biodegradable polymer synthesis and properties (1 paper), Scheduling and Optimization Algorithms (1 paper) and Metaheuristic Optimization Algorithms Research (1 paper). Y. X. Yang is often cited by papers focused on biodegradable polymer synthesis and properties (1 paper), Scheduling and Optimization Algorithms (1 paper) and Metaheuristic Optimization Algorithms Research (1 paper). Y. X. Yang collaborates with scholars based in China and Canada. Y. X. Yang's co-authors include Y. Yang, Cong Zhu, Bin Wang, Kunyu Zhang, Jin Li, Yi Luo, Xiaohui Wei, Liang Chen and Dajun Jiang and has published in prestigious journals such as Expert Systems with Applications, Polymer Chemistry and Frontiers in Earth Science.

In The Last Decade

Y. X. Yang

2 papers receiving 5 citations

Peers

Y. X. Yang
Z. Yan China
Y. X. Yang
Citations per year, relative to Y. X. Yang Y. X. Yang (= 1×) peers Z. Yan

Countries citing papers authored by Y. X. Yang

Since Specialization
Citations

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

Fields of papers citing papers by Y. X. Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. X. Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Y. X. Yang. A scholar is included among the top collaborators of Y. X. Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Y. X. Yang. Y. X. Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
1.
Yang, Y. X., et al.. (2025). Deep transfer learning with Bayesian optimization for evolutionary-stage prediction of step-like landslides. Frontiers in Earth Science. 13. 1 indexed citations
2.
Zhu, Cong, et al.. (2025). A dual dynamic constraint boundary based constrained multi-objective evolutionary algorithm for small feasible regions. Expert Systems with Applications. 275. 127008–127008. 4 indexed citations
3.
Chen, Liang, Xiaohui Wei, Y. X. Yang, et al.. (2025). Efficient synthesis of polylactide and copolymers under industrial conditions by multinuclear β-ketoimide zinc complexes. Polymer Chemistry. 16(26). 3030–3040.

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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