Peilan Xu

601 total citations
29 papers, 401 citations indexed

About

Peilan Xu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Industrial and Manufacturing Engineering. According to data from OpenAlex, Peilan Xu has authored 29 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 19 papers in Computational Theory and Mathematics and 3 papers in Industrial and Manufacturing Engineering. Recurrent topics in Peilan Xu's work include Metaheuristic Optimization Algorithms Research (21 papers), Advanced Multi-Objective Optimization Algorithms (18 papers) and Evolutionary Algorithms and Applications (15 papers). Peilan Xu is often cited by papers focused on Metaheuristic Optimization Algorithms Research (21 papers), Advanced Multi-Objective Optimization Algorithms (18 papers) and Evolutionary Algorithms and Applications (15 papers). Peilan Xu collaborates with scholars based in China, South Korea and Netherlands. Peilan Xu's co-authors include Wenjian Luo, Xin Lin, Tao Zhu, Mike Preuß, Bin Yang, Jiajia Zhang, Nan Zhou, Zhenyu Lu, Xudong Gao and Qiang Yang and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Cybernetics.

In The Last Decade

Peilan Xu

27 papers receiving 392 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Peilan Xu China	12	326	215	35	20	19	29	401
Giorgos Karafotias Netherlands	6	317 1.0×	193 0.9×	37 1.1×	14 0.7×	12 0.6×	10	400
Kavitesh Kumar Bali Singapore	4	464 1.4×	385 1.8×	55 1.6×	38 1.9×	10 0.5×	8	575
Yalan Zhou China	11	228 0.7×	181 0.8×	64 1.8×	22 1.1×	14 0.7×	24	335
Jingda Deng Hong Kong	9	256 0.8×	262 1.2×	32 0.9×	28 1.4×	16 0.8×	13	379
Arturo Hernández Aguirre Mexico	11	354 1.1×	253 1.2×	43 1.2×	21 1.1×	19 1.0×	27	474
Carlos Cruz Spain	8	221 0.7×	154 0.7×	58 1.7×	9 0.5×	10 0.5×	18	323
Christian L. Camacho‐Villalón Belgium	6	184 0.6×	107 0.5×	52 1.5×	26 1.3×	11 0.6×	7	288
Gary Pamparà South Africa	7	319 1.0×	157 0.7×	76 2.2×	26 1.3×	23 1.2×	13	432
Raquel Hernández Gómez Mexico	6	355 1.1×	381 1.8×	32 0.9×	28 1.4×	7 0.4×	9	488
Juanjuan He China	11	160 0.5×	131 0.6×	30 0.9×	29 1.4×	11 0.6×	28	338

Countries citing papers authored by Peilan Xu

Since Specialization

Citations

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

Fields of papers citing papers by Peilan Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peilan Xu

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

All Works

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20 of 20 papers shown

Luo, Wenjian, et al.. (2025). A Novel Immune Algorithm for Multiparty Multiobjective Optimization. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(2). 1238–1252. 2 indexed citations

Yang, Qiang, Jian-Yu Li, Peilan Xu, et al.. (2025). A probabilistic tournament learning swarm optimizer for large-scale optimization. Information Sciences. 714. 122189–122189.

Xu, Peilan, et al.. (2025). Swarm Optimization With Intra- and Inter-Hierarchical Competition for Large-Scale Berth Allocation and Crane Assignment. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(2). 1307–1321. 3 indexed citations

Zhu, Ying, et al.. (2025). Density-Assisted Evolutionary Dynamic Multimodal Optimization. 6(1). 1–30.

Yang, Qiang, Peilan Xu, Xudong Gao, et al.. (2023). Triple competitive differential evolution for global numerical optimization. Swarm and Evolutionary Computation. 84. 101450–101450. 23 indexed citations

Luo, Wenjian, et al.. (2023). DBCC2: an improved difficulty-based cooperative co-evolution for many-modal optimization. Complex & Intelligent Systems. 9(4). 4403–4423. 1 indexed citations

Yang, Qiang, et al.. (2023). Comparative Study on Different Encoding Strategies for Multiple Traveling Salesmen Problem. 1437–1442. 5 indexed citations

Cao, Hao, Qiang Yang, Xudong Gao, et al.. (2023). Random Pairwise Competition Based Ant Selection for Pheromone Updating in Ant Colony Optimization. 1455–1460. 5 indexed citations

Lin, Xin, et al.. (2022). EvoDCMMO: Benchmarking and solving dynamic constrained multimodal optimization problems. Swarm and Evolutionary Computation. 75. 101184–101184. 4 indexed citations

10.

Xu, Peilan, et al.. (2021). An alternative way of evolutionary multimodal optimization: density-based population initialization strategy. Swarm and Evolutionary Computation. 67. 100971–100971. 14 indexed citations

11.

Luo, Wenjian, et al.. (2021). Genetic Algorithm with Multiple Fitness Functions for Generating Adversarial Examples. 1792–1799. 13 indexed citations

12.

Xu, Peilan, et al.. (2021). Constraint-Objective Cooperative Coevolution for Large-scale Constrained Optimization. 1(3). 1–26. 16 indexed citations

13.

Lin, Xin, et al.. (2021). PopDMMO: A general framework of population-based stochastic search algorithms for dynamic multimodal optimization. Swarm and Evolutionary Computation. 68. 101011–101011. 11 indexed citations

14.

Xu, Peilan, Wenjian Luo, Xin Lin, Shi Cheng, & Yuhui Shi. (2021). BSO20: efficient brain storm optimization for real-parameter numerical optimization. Complex & Intelligent Systems. 7(5). 2415–2436. 10 indexed citations

15.

Li, Ni, Wenjian Luo, Tao Zhu, & Peilan Xu. (2021). On Followers Search. IEEE Transactions on Computational Social Systems. 8(5). 1068–1082. 1 indexed citations

16.

Luo, Wenjian, et al.. (2020). Solving Dynamic 3-SAT Formula: An Empirical Study. 2. 134–140. 1 indexed citations

17.

Zhou, Nan, Wenjian Luo, Xin Lin, Peilan Xu, & Zhenya Zhang. (2020). Generating Multi-label Adversarial Examples by Linear Programming. 1–8. 15 indexed citations

18.

Xu, Peilan, et al.. (2019). Hybrid of PSO and CMA-ES for Global Optimization. 27–33. 14 indexed citations

19.

Luo, Wenjian, et al.. (2018). Surrogate-Assisted Evolutionary Framework for Data-Driven Dynamic Optimization. IEEE Transactions on Emerging Topics in Computational Intelligence. 3(2). 137–150. 42 indexed citations

20.

Luo, Wenjian, et al.. (2018). Iterative-Lengthening and Auxiliary Search Based Particle Swarm Optimization for Online Short-term Hydrothermal Scheduling. 1913–1920. 1 indexed citations

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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