Yi Xiang
- Computational Theory and Mathematics top 0.5%
- Advanced Multi-Objective Optimization Algorithms 24
- Artificial Intelligence top 1%
- Metaheuristic Optimization Algorithms Research 25
- Evolutionary Algorithms and Applications 11
- Advanced Software Engineering Methodologies 6
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- Optimal Experimental Design Methods 6
- Software top 10%
- Software Reliability and Analysis Research 6
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- Scheduling and Optimization Algorithms 5
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- Software Engineering Research 7
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceManagement Science and Operations Research
- Journals
- IEEE Transactions on Evolutionary Computation (6 papers)IEEE Transactions on Cybernetics (5 papers)Applied Intelligence (4 papers)
- Partner nations
- ChinaUnited KingdomSingapore
In The Last Decade
Yi Xiang
62 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Computational Theory and Mathematics 887
- Artificial Intelligence 927
- Management Science and Operations Research 200
- Software 49
- Industrial and Manufacturing Engineering 105
Countries citing papers authored by Yi Xiang
This map shows the geographic impact of Yi Xiang'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 Yi Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Xiang more than expected).
Fields of papers citing papers by Yi Xiang
This network shows the impact of papers produced by Yi Xiang. 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 Yi Xiang. The network helps show where Yi Xiang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yi Xiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 5 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 10 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 9 | |
| 12 | 2022 | 12 | |
| 13 | 2021 | 6 | |
| 14 | 2020 | 55 | |
| 15 | 2019 | 2 | |
| 16 | 2018 | 2 | |
| 17 | 2014 | 17 | |
| 18 | 2013 | 4 | |
| 19 | A Comparative Research on Combinations of Different Genetic Operators in Solving TSP Problems | 2012 | 1 |
| 20 | Multi-resolution image filtering algorithm based on wavelet domain spatial correlation | 2003 | 1 |
About Yi Xiang
Yi Xiang is a scholar working on Software, Computational Theory and Mathematics, Artificial Intelligence, Health Informatics and Management Science and Operations Research, having authored 73 papers that have together received 1.6k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (25 papers), Advanced Multi-Objective Optimization Algorithms (24 papers), Evolutionary Algorithms and Applications (11 papers), Software Engineering Research (7 papers), Advanced Software Engineering Methodologies (6 papers), Software Reliability and Analysis Research (6 papers), Optimal Experimental Design Methods (6 papers) and Scheduling and Optimization Algorithms (5 papers). The work is most often cited by research in Computational Theory and Mathematics (887 citations), Artificial Intelligence (927 citations), Management Science and Operations Research (200 citations), Software (49 citations) and Industrial and Manufacturing Engineering (105 citations). Yi Xiang has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Yuren Zhou, Zefeng Chen, Miqing Li, Jiahai Wang, Han Huang, Xiaowei Yang, Jin E. Zhang, Jun Zhang, Hai‐Lin Liu and Zizhen Zhang. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, Applied Intelligence, Swarm and Evolutionary Computation and Applied Soft Computing.
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.