Ruixin Yang
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 10%
- Control and Systems Engineering
- Industrial and Manufacturing Engineering top 10%
- Electrical and Electronic Engineering
- Topics
- Metaheuristic Optimization Algorithms Research (4 papers)Advanced Control Systems Optimization (2 papers)Natural Language Processing Techniques (2 papers)
- Cited by
- Industrial and Manufacturing EngineeringArtificial IntelligenceComputational Theory and Mathematics
- Journals
- Information SciencesApplied Soft ComputingInternational Journal of Electrical Power & Energy Systems
- Partner nations
- United StatesChinaGeorgia
In The Last Decade
Ruixin Yang
12 papers receiving 289 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 167
- Computational Theory and Mathematics 68
- Control and Systems Engineering 62
- Industrial and Manufacturing Engineering 55
- Electrical and Electronic Engineering 42
Countries citing papers authored by Ruixin Yang
This map shows the geographic impact of Ruixin 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 Ruixin Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruixin Yang more than expected).
Fields of papers citing papers by Ruixin Yang
This network shows the impact of papers produced by Ruixin 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 Ruixin Yang. The network helps show where Ruixin Yang may publish in the future.
Co-authorship network of co-authors of Ruixin Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Ruixin Yang. A scholar is included among the top collaborators of Ruixin 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 Ruixin Yang. Ruixin Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 7 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 63 | |
| 8 | 18 | |
| 9 | 35 | |
| 10 | 33 | |
| 11 | 28 | |
| 12 | 98 |
About Ruixin Yang
Ruixin Yang is a scholar working on General Social Sciences, Artificial Intelligence and Computational Theory and Mathematics, having authored 12 papers that have together received 302 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (4 papers), Advanced Control Systems Optimization (2 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (55 citations), Artificial Intelligence (167 citations) and Computational Theory and Mathematics (68 citations). Ruixin Yang has collaborated with scholars based in United States, China and Georgia. Frequent co-authors include Ling Wang, Minrui Fei, Pãnos M. Pardalos, Qun Niu, Yin Xu, Pãnos M. Pardalos, Wei Ye, Li Jia, Nagiza F. Samatova and Stephen J. Freedland. Their work appears in journals such as Information Sciences, Applied Soft Computing and International Journal of Electrical Power & Energy Systems.
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.