Xilu Wang

956 total citations · 1 hit paper
24 papers, 587 citations indexed

About

Xilu Wang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Xilu Wang has authored 24 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 15 papers in Computational Theory and Mathematics and 5 papers in Management Science and Operations Research. Recurrent topics in Xilu Wang's work include Advanced Multi-Objective Optimization Algorithms (12 papers), Metaheuristic Optimization Algorithms Research (10 papers) and Machine Learning and Data Classification (3 papers). Xilu Wang is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (12 papers), Metaheuristic Optimization Algorithms Research (10 papers) and Machine Learning and Data Classification (3 papers). Xilu Wang collaborates with scholars based in Germany, China and United Kingdom. Xilu Wang's co-authors include Yaochu Jin, Markus Olhofer, Sebastian Schmitt, Yongjun Sun, Zujun Liu, Richard Allmendinger, Huaxi Gu, Hangyu Zhu, Qiqi Liu and Lianbo Ma and has published in prestigious journals such as Expert Systems with Applications, ACM Computing Surveys and Information Sciences.

In The Last Decade

Xilu Wang

17 papers receiving 579 citations

Hit Papers

Recent Advances in Bayesian Optimization 2023 2026 2024 2025 2023 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Recent Advances in Bayesian Optimization
    2023 191 citations Xilu Wang, Yaochu Jin et al. ACM Computing Surveys profile →

Peers

Xilu Wang
Zhongbo Hu China
Gregorio Toscano‐Pulido Mexico
Jiao-Hong Yi China
Rituparna Datta India
Hira Zaheer India
Ruwang Jiao China
Dan Guo China
Saúl Zapotecas–Martínez Mexico
Zhongbo Hu China
Xilu Wang
Citations per year, relative to Xilu Wang Xilu Wang (= 1×) peers Zhongbo Hu

Countries citing papers authored by Xilu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xilu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xilu Wang. 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 Xilu Wang. The network helps show where Xilu Wang may publish in the future.

Co-authorship network of co-authors of Xilu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xilu Wang. A scholar is included among the top collaborators of Xilu Wang 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 Xilu Wang. Xilu Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhao, Kaili, et al.. (2025). Efficient Large-Scale Expensive Optimization via Surrogate-Assisted Subproblem Selection. IEEE Transactions on Evolutionary Computation. 29(5). 2145–2157. 2 indexed citations
2.
Zhao, Kaili, Xilu Wang, Chaoli Sun, & Yaochu Jin. (2025). A Large-scale Expensive Optimization Algorithm with a Multi-view Synthetic Sampling. IEEE Transactions on Evolutionary Computation. 1–1.
3.
Zhu, Hangyu & Xilu Wang. (2025). Multi-Objective Batch Energy-Entropy Acquisition Function for Bayesian Optimization. Mathematics. 13(17). 2894–2894.
4.
Wang, Xilu, et al.. (2024). Analysis and Optimal Control of a System of Hemivariational Inequalities Arising in Non-Stationary Navier-Stokes Equation with Thermal Effects. Numerical Mathematics Theory Methods and Applications. 17(2). 351–378.
5.
Wang, Xilu & Yaochu Jin. (2024). Distilling Ensemble Surrogates for Federated Data-Driven Many-Task Optimization. IEEE Transactions on Evolutionary Computation. 29(6). 2401–2415. 1 indexed citations
6.
Wang, Xiangyu, Xilu Wang, Yaochu Jin, & Ulrich Rückert. (2024). A Graph Neural Network Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization. 1–8.
7.
Yu, Guo, Lianbo Ma, Xilu Wang, et al.. (2024). Towards fairness-aware multi-objective optimization. Complex & Intelligent Systems. 11(1). 4 indexed citations
8.
Wang, Xilu, et al.. (2024). DP-FSAEA: Differential Privacy for Federated Surrogate-Assisted Evolutionary Algorithms. IEEE Transactions on Evolutionary Computation. 29(6). 2299–2312. 2 indexed citations
9.
Wang, Xilu & Yaochu Jin. (2023). Knowledge Transfer Based on Particle Filters for Multi-Objective Optimization. Mathematical and Computational Applications. 28(1). 14–14.
10.
11.
Wang, Xilu & Yaochu Jin. (2023). Personalized Bayesian optimization for noisy problems. Complex & Intelligent Systems. 9(5). 5745–5760. 5 indexed citations
12.
Wang, Xilu, Yaochu Jin, Sebastian Schmitt, & Markus Olhofer. (2023). Recent Advances in Bayesian Optimization. ACM Computing Surveys. 55(13s). 1–36. 191 indexed citations breakdown →
13.
Liu, Qiqi, et al.. (2023). Secure Federated Evolutionary Optimization—A Survey. Engineering. 34. 23–42. 4 indexed citations
14.
15.
Wang, Xilu, et al.. (2022). Optimal Control of a Quasistatic Frictional Contact Problem with History-Dependent Operators. 20(1). 29–46. 3 indexed citations
16.
Wang, Xilu, Yaochu Jin, Sebastian Schmitt, Markus Olhofer, & Richard Allmendinger. (2021). Transfer learning based surrogate assisted evolutionary bi-objective optimization for objectives with different evaluation times. Knowledge-Based Systems. 227. 107190–107190. 26 indexed citations
17.
Wang, Xilu, Yaochu Jin, Sebastian Schmitt, & Markus Olhofer. (2020). Transfer learning for gaussian process assisted evolutionary bi-objective optimization for objectives with different evaluation times. 587–594. 14 indexed citations
18.
Wang, Xilu, Yaochu Jin, Sebastian Schmitt, & Markus Olhofer. (2020). An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization. Information Sciences. 519. 317–331. 104 indexed citations
19.
Sun, Yongjun, et al.. (2018). A modified whale optimization algorithm for large-scale global optimization problems. Expert Systems with Applications. 114. 563–577. 185 indexed citations
20.

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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