Xin Yao
Impact in
- Computational Theory and Mathematics top 0.01%
- Advanced Multi-Objective Optimization Algorithms
- Artificial Intelligence top 0.01%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Neural Networks and Applications
- Imbalanced Data Classification Techniques
- Machine Learning and Data Classification
- Data Stream Mining Techniques
Papers in
-
- Metaheuristic Optimization Algorithms Research 291
- Evolutionary Algorithms and Applications 225
- Neural Networks and Applications 67
- Machine Learning and Data Classification 37
-
- Advanced Multi-Objective Optimization Algorithms 206
- Co-authors
- Ke Tang (88 shared papers)Yong Liu (4 shared papers)Guangming Lin (3 shared papers)Xiaodong Li (21 shared papers)Thomas Philip Rúnarsson (5 shared papers)Shuo Wang (14 shared papers)Leandro L. Minku (55 shared papers)Zhenyu Yang (10 shared papers)
- Journals
- IEEE Transactions on Evolutionary Computation (91 papers)IEEE Transactions on Cybernetics (19 papers)IEEE Computational Intelligence Magazine (19 papers)Information Sciences (15 papers)IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) (14 papers)
- Partner nations
- United KingdomChinaAustralia
In The Last Decade
Xin Yao
821 papers receiving 43.1k citations
Xin Yao's Hit Papers
Peers
Comparison fields: 5 of 224
- Computational Theory and Mathematics 14.7k
- Artificial Intelligence 29.0k
- Software 2.0k
- Industrial and Manufacturing Engineering 3.2k
- Management Science and Operations Research 3.2k
Countries citing papers authored by Xin Yao
This map shows the geographic impact of Xin Yao'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 Xin Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Yao more than expected).
Fields of papers citing papers by Xin Yao
This network shows the impact of papers produced by Xin Yao. 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 Xin Yao. The network helps show where Xin Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Xin Yao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 854 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Evolutionary programming made faster Hit paper breakdown → | 1999 | 2963 |
| 2 | Evolving artificial neural networks Hit paper breakdown → | 1999 | 2012 |
| 3 | Stochastic ranking for constrained evolutionary optimization Hit paper breakdown → | 2000 | 1281 |
| 4 | A Survey on Evolutionary Computation Approaches to Feature Selection Hit paper breakdown → | 2015 | 1270 |
| 5 | MWMOTE--Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning Hit paper breakdown → | 2012 | 842 |
| 6 | Large scale evolutionary optimization using cooperative coevolution Hit paper breakdown → | 2008 | 760 |
| 7 | Many-Objective Evolutionary Algorithms Hit paper breakdown → | 2015 | 627 |
| 8 | Diversity creation methods: a survey and categorisation Hit paper breakdown → | 2004 | 622 |
| 9 | A New Dominance Relation-Based Evolutionary Algorithm for Many-Objective Optimization Hit paper breakdown → | 2015 | 597 |
| 10 | Cooperatively Coevolving Particle Swarms for Large Scale Optimization Hit paper breakdown → | 2011 | 596 |
| 11 | A new evolutionary system for evolving artificial neural networks Hit paper breakdown → | 1997 | 584 |
| 12 | Cooperative Co-Evolution With Differential Grouping for Large Scale Optimization Hit paper breakdown → | 2013 | 564 |
| 13 | Two-Archive Evolutionary Algorithm for Constrained Multiobjective Optimization Hit paper breakdown → | 2018 | 493 |
| 14 | Two_Arch2: An Improved Two-Archive Algorithm for Many-Objective Optimization Hit paper breakdown → | 2014 | 456 |
| 15 | 1999 | 453 | |
| 16 | Using Class Imbalance Learning for Software Defect Prediction Hit paper breakdown → | 2013 | 439 |
| 17 | Multiclass Imbalance Problems: Analysis and Potential Solutions Hit paper breakdown → | 2012 | 421 |
| 18 | Diversity analysis on imbalanced data sets by using ensemble models Hit paper breakdown → | 2009 | 393 |
| 19 | A benchmark test suite for evolutionary many-objective optimization Hit paper breakdown → | 2017 | 381 |
| 20 | 2004 | 340 |
About Xin Yao
Xin Yao is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Electrical and Electronic Engineering, Industrial and Manufacturing Engineering and Computer Networks and Communications, having authored 854 papers that have together received 44.7k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (291 papers), Evolutionary Algorithms and Applications (225 papers), Advanced Multi-Objective Optimization Algorithms (206 papers), Neural Networks and Applications (67 papers), Vehicle Routing Optimization Methods (52 papers), Software Engineering Research (42 papers), Machine Learning and Data Classification (37 papers) and Face and Expression Recognition (36 papers). The work is most often cited by research in Computational Theory and Mathematics (14.7k citations), Artificial Intelligence (29.0k citations), Software (2.0k citations), Industrial and Manufacturing Engineering (3.2k citations) and Management Science and Operations Research (3.2k citations). Xin Yao has collaborated with scholars based in United Kingdom, China and Australia. Frequent co-authors include Ke Tang, Yong Liu, Guangming Lin, Xiaodong Li, Thomas Philip Rúnarsson, Shuo Wang, Leandro L. Minku, Zhenyu Yang, Mohammad Nabi Omidvar and Jun He. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, IEEE Computational Intelligence Magazine, Information Sciences and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).
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.