Xuewen Xia

2.0k total citations
78 papers, 1.5k citations indexed

About

Xuewen Xia is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xuewen Xia has authored 78 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Artificial Intelligence, 25 papers in Computational Theory and Mathematics and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xuewen Xia's work include Metaheuristic Optimization Algorithms Research (37 papers), Evolutionary Algorithms and Applications (25 papers) and Advanced Multi-Objective Optimization Algorithms (20 papers). Xuewen Xia is often cited by papers focused on Metaheuristic Optimization Algorithms Research (37 papers), Evolutionary Algorithms and Applications (25 papers) and Advanced Multi-Objective Optimization Algorithms (20 papers). Xuewen Xia collaborates with scholars based in China, United Kingdom and United States. Xuewen Xia's co-authors include Ling Gui, Bo Wei, Fei Yu, Hongrun Wu, Zhi‐Hui Zhan, Yinglong Zhang, Guoliang He, Xing Xu, Yinglong Zhang and Zhongbo Hu and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Xuewen Xia

63 papers receiving 1.4k citations

Peers

Xuewen Xia
Isao Ono Japan
Xuewen Xia
Citations per year, relative to Xuewen Xia Xuewen Xia (= 1×) peers Isao Ono

Countries citing papers authored by Xuewen Xia

Since Specialization
Citations

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

Fields of papers citing papers by Xuewen Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuewen Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Xuewen Xia. A scholar is included among the top collaborators of Xuewen Xia 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 Xuewen Xia. Xuewen Xia 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.
Zhang, Yinglong, et al.. (2025). TANGNN: A concise, scalable and effective graph neural networks with Top-m attention mechanism for graph representation learning. Expert Systems with Applications. 271. 126599–126599.
2.
Xia, Xuewen, et al.. (2024). Ceramic Microscope Image Classification Based on Multi-Scale Fusion Bottleneck Structure and Chunking Attention Mechanism. International Journal of Advanced Computer Science and Applications. 15(3). 1 indexed citations
3.
Zeng, Hui, Lei Tong, & Xuewen Xia. (2024). Multi-UAV Cooperative Coverage Search for Various Regions Based on Differential Evolution Algorithm. Biomimetics. 9(7). 384–384. 3 indexed citations
4.
Tong, Lei, et al.. (2024). A genetic algorithm for vehicle routing problems with time windows based on cluster of geographic positions and time windows. Applied Soft Computing. 169. 112593–112593. 5 indexed citations
5.
Xu, Xing, et al.. (2024). Interactive 3D Vase Design Based on Gradient Boosting Decision Trees. Algorithms. 17(9). 407–407.
6.
7.
Zhang, Yinglong, et al.. (2024). GraphSAGE++: Weighted Multi-scale GNN for Graph Representation Learning. Neural Processing Letters. 56(1). 6 indexed citations
8.
Xia, Xuewen, et al.. (2023). A dynamic multipopulation genetic algorithm for multiobjective workflow scheduling based on the longest common sequence. Swarm and Evolutionary Computation. 78. 101291–101291. 17 indexed citations
9.
Wu, Hongrun, et al.. (2023). Lens imaging opposition-based learning for differential evolution with cauchy perturbation. Applied Soft Computing. 152. 111211–111211. 33 indexed citations
10.
Zhang, Yinglong, et al.. (2023). GraRep++: Flexible Learning Graph Representations With Weighted Global Structural Information. IEEE Access. 11. 98217–98229. 2 indexed citations
11.
Xia, Xuewen, et al.. (2023). A neighborhood comprehensive learning particle swarm optimization for the vehicle routing problem with time windows. Swarm and Evolutionary Computation. 84. 101425–101425. 34 indexed citations
12.
Xia, Xuewen, Yinglong Zhang, Ling Gui, et al.. (2022). A Particle Swarm Optimization With Adaptive Learning Weights Tuned by a Multiple-Input Multiple-Output Fuzzy Logic Controller. IEEE Transactions on Fuzzy Systems. 31(7). 2464–2478. 26 indexed citations
13.
Xia, Xuewen, Ling Gui, Yinglong Zhang, et al.. (2020). A fitness-based adaptive differential evolution algorithm. Information Sciences. 549. 116–141. 76 indexed citations
14.
Xia, Xuewen, et al.. (2019). Dynamic Multi-Swarm Particle Swarm Optimization Based on Elite Learning. IEEE Access. 7. 184849–184865. 14 indexed citations
15.
Xia, Xuewen, Jingnan Liu, & Yuanxiang Li. (2014). Particle Swarm Optimization Algorithm with Reverse-Learning and Local-Learning Behavior. Journal of Software. 9(2). 19 indexed citations
18.
20.
Xia, Xuewen. (2008). Research on on-line fuzzy rule self-adjusting algorithm and its simulation. Jisuanji yingyong yanjiu. 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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