Yaru Hu
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Control and Systems Engineering
- Management Science and Operations Research top 10%
- Civil and Structural Engineering
- Co-authors
- Juan ZouShengxiang YangJinhua ZhengJunwei OuZheng ZhangYunfan ShaoTianxiang SunXipeng Qiu
- Topics
- Advanced Multi-Objective Optimization Algorithms (30 papers)Metaheuristic Optimization Algorithms Research (25 papers)Evolutionary Algorithms and Applications (13 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceManagement Science and Operations Research
- Journals
- Expert Systems with ApplicationsInformation SciencesIEEE Transactions on Evolutionary Computation
- Partner nations
- ChinaUnited KingdomQatar
In The Last Decade
Yaru Hu
27 papers receiving 540 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 409
- Computational Theory and Mathematics 340
- Control and Systems Engineering 54
- Management Science and Operations Research 53
- Civil and Structural Engineering 51
Countries citing papers authored by Yaru Hu
This map shows the geographic impact of Yaru Hu'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 Yaru Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaru Hu more than expected).
Fields of papers citing papers by Yaru Hu
This network shows the impact of papers produced by Yaru Hu. 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 Yaru Hu. The network helps show where Yaru Hu may publish in the future.
Co-authorship network of co-authors of Yaru Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Yaru Hu. A scholar is included among the top collaborators of Yaru Hu 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 Yaru Hu. Yaru Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 11 | |
| 11 | 3 | |
| 12 | 26 | |
| 13 | 9 | |
| 14 | 9 | |
| 15 | 9 | |
| 16 | 1 | |
| 17 | 49 | |
| 18 | 29 | |
| 19 | 97 | |
| 20 | 30 |
About Yaru Hu
Yaru Hu is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Management Science and Operations Research, having authored 34 papers that have together received 548 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (30 papers), Metaheuristic Optimization Algorithms Research (25 papers) and Evolutionary Algorithms and Applications (13 papers). The work is most often cited by research in Computational Theory and Mathematics (340 citations), Artificial Intelligence (409 citations) and Management Science and Operations Research (53 citations). Yaru Hu has collaborated with scholars based in China, United Kingdom and Qatar. Frequent co-authors include Juan Zou, Shengxiang Yang, Jinhua Zheng, Junwei Ou, Zheng Zhang, Yunfan Shao, Tianxiang Sun, Xipeng Qiu, Xuanjing Huang and Qipeng Guo. Their work appears in journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Evolutionary Computation.
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.