Xiaoshu Xiang

429 total citations
13 papers, 306 citations indexed

About

Xiaoshu Xiang is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Xiaoshu Xiang has authored 13 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Industrial and Manufacturing Engineering and 5 papers in Computational Theory and Mathematics. Recurrent topics in Xiaoshu Xiang's work include Metaheuristic Optimization Algorithms Research (6 papers), Vehicle Routing Optimization Methods (6 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Xiaoshu Xiang is often cited by papers focused on Metaheuristic Optimization Algorithms Research (6 papers), Vehicle Routing Optimization Methods (6 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Xiaoshu Xiang collaborates with scholars based in China, United Kingdom and Germany. Xiaoshu Xiang's co-authors include Xingyi Zhang, Ye Tian, Jianhua Xiao, Yaochu Jin, Ran Cheng, Jianfeng Qiu, Hao Jiang, Chao Wang, Shangshang Yang and Qin Fang and has published in prestigious journals such as Information Sciences, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Industrial Informatics.

In The Last Decade

Xiaoshu Xiang

11 papers receiving 299 citations

Peers

Xiaoshu Xiang
Xiaoshu Xiang
Citations per year, relative to Xiaoshu Xiang Xiaoshu Xiang (= 1×) peers Francisco de Toro

Countries citing papers authored by Xiaoshu Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoshu Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoshu Xiang

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

All Works

13 of 13 papers shown
2.
Wang, Chao, Mengmeng Cao, Hao Jiang, Xiaoshu Xiang, & Xingyi Zhang. (2024). A Deep Reinforcement Learning-Based Adaptive Large Neighborhood Search for Capacitated Electric Vehicle Routing Problems. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(1). 131–144. 9 indexed citations
3.
Tian, Ye, et al.. (2024). A Sparsity Knowledge Transfer-Based Evolutionary Algorithm for Large-Scale Multitasking Multiobjective Optimization. IEEE Transactions on Evolutionary Computation. 29(6). 2582–2595.
4.
Wang, Chao, Qin Fang, Xiaoshu Xiang, Hao Jiang, & Xingyi Zhang. (2023). A Dual-Population-Based Co-Evolutionary Algorithm for Capacitated Electric Vehicle Routing Problems. IEEE Transactions on Transportation Electrification. 10(2). 2663–2676. 18 indexed citations
5.
Yang, Shangshang, et al.. (2022). Accelerating Evolutionary Neural Architecture Search via Multifidelity Evaluation. IEEE Transactions on Cognitive and Developmental Systems. 14(4). 1778–1792. 21 indexed citations
6.
Tian, Ye, Hao Chen, Xiaoshu Xiang, Hao Jiang, & Xingyi Zhang. (2022). A Comparative Study on Evolutionary Algorithms and Mathematical Programming Methods for Continuous Optimization. 1–8. 3 indexed citations
7.
Xiang, Xiaoshu, Ye Tian, Ran Cheng, et al.. (2022). A benchmark generator for online dynamic single-objective and multi-objective optimization problems. Information Sciences. 613. 591–608. 10 indexed citations
8.
Xiang, Xiaoshu, Ye Tian, Xingyi Zhang, Jianhua Xiao, & Yaochu Jin. (2021). A Pairwise Proximity Learning-Based Ant Colony Algorithm for Dynamic Vehicle Routing Problems. IEEE Transactions on Intelligent Transportation Systems. 23(6). 5275–5286. 46 indexed citations
9.
Qiu, Jianfeng, Xiaoshu Xiang, Chao Wang, & Xingyi Zhang. (2021). A multi-objective feature selection approach based on chemical reaction optimization. Applied Soft Computing. 112. 107794–107794. 8 indexed citations
10.
Su, Yansen, Jia Liu, Xiaoshu Xiang, & Xingyi Zhang. (2021). A responsive ant colony optimization for large-scale dynamic vehicle routing problems via pheromone diversity enhancement. Complex & Intelligent Systems. 7(5). 2543–2558. 13 indexed citations
11.
Xiang, Xiaoshu, Jianfeng Qiu, Jianhua Xiao, & Xingyi Zhang. (2020). Demand coverage diversity based ant colony optimization for dynamic vehicle routing problems. Engineering Applications of Artificial Intelligence. 91. 103582–103582. 58 indexed citations
12.
Xiang, Xiaoshu, Ye Tian, Jianhua Xiao, & Xingyi Zhang. (2019). A Clustering-Based Surrogate-Assisted Multiobjective Evolutionary Algorithm for Shelter Location Problem Under Uncertainty of Road Networks. IEEE Transactions on Industrial Informatics. 16(12). 7544–7555. 36 indexed citations
13.
Tian, Ye, Xiaoshu Xiang, Xingyi Zhang, Ran Cheng, & Yaochu Jin. (2018). Sampling Reference Points on the Pareto Fronts of Benchmark Multi-Objective Optimization Problems. View. 1–6. 84 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026