Xianqiu Meng

432 total citations
20 papers, 300 citations indexed

About

Xianqiu Meng is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Xianqiu Meng has authored 20 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 8 papers in Computational Theory and Mathematics and 3 papers in Control and Systems Engineering. Recurrent topics in Xianqiu Meng's work include Metaheuristic Optimization Algorithms Research (13 papers), Advanced Multi-Objective Optimization Algorithms (8 papers) and Evolutionary Algorithms and Applications (7 papers). Xianqiu Meng is often cited by papers focused on Metaheuristic Optimization Algorithms Research (13 papers), Advanced Multi-Objective Optimization Algorithms (8 papers) and Evolutionary Algorithms and Applications (7 papers). Xianqiu Meng collaborates with scholars based in China, United States and United Kingdom. Xianqiu Meng's co-authors include Jianhua Jiang, Keqin Li, A.J. Morris, E.B. Martin, Huan Wang, Yujun Chen, Limin Wang, Ran Jiang, Song Jiang and Yang Liu and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Internet of Things Journal.

In The Last Decade

Xianqiu Meng

16 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xianqiu Meng China 10 193 82 56 45 32 20 300
Shasha Guo China 11 214 1.1× 53 0.6× 70 1.3× 29 0.6× 34 1.1× 15 343
Omar Saber Qasim Iraq 10 260 1.3× 58 0.7× 21 0.4× 91 2.0× 10 0.3× 42 417
Choo Jun Tan Malaysia 10 234 1.2× 78 1.0× 31 0.6× 70 1.6× 9 0.3× 24 369
Shuhao Yu China 7 220 1.1× 92 1.1× 43 0.8× 48 1.1× 12 0.4× 11 326
Zhenda Hu China 10 137 0.7× 36 0.4× 37 0.7× 37 0.8× 12 0.4× 28 322
Mengjun Li China 9 102 0.5× 41 0.5× 40 0.7× 17 0.4× 25 0.8× 33 307
Adang Suwandi Ahmad Indonesia 9 142 0.7× 38 0.5× 72 1.3× 71 1.6× 15 0.5× 54 323
Waleed Yamany Egypt 10 225 1.2× 68 0.8× 47 0.8× 48 1.1× 8 0.3× 11 330
Shuwei Zhu China 9 292 1.5× 231 2.8× 41 0.7× 40 0.9× 26 0.8× 29 424
Luka Mernik United States 5 221 1.1× 122 1.5× 33 0.6× 27 0.6× 18 0.6× 7 371

Countries citing papers authored by Xianqiu Meng

Since Specialization
Citations

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

Fields of papers citing papers by Xianqiu Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianqiu Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Xianqiu Meng. A scholar is included among the top collaborators of Xianqiu Meng 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 Xianqiu Meng. Xianqiu Meng 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.
Xu, Gaochao, et al.. (2025). FedCon: Scalable and Efficient Federated Learning via Contribution-Based Aggregation. Electronics. 14(5). 1024–1024.
2.
Meng, Xianqiu, et al.. (2025). A diversity enhanced tree-seed algorithm based on double search with genetic and automated learning search strategies for image segmentation. Applied Soft Computing. 176. 113143–113143. 1 indexed citations
3.
Jiang, Jianhua, et al.. (2025). KATSA: KNN Ameliorated Tree Seed Algorithm for complex optimization problems. Expert Systems with Applications. 280. 127465–127465.
4.
Xu, Gaochao, et al.. (2025). A lot streaming scheduling algorithm with variable sub-lots for solving a multi-objective flexible job shop scheduling problem. Applied Soft Computing. 177. 113184–113184. 1 indexed citations
5.
Jiang, Jianhua, et al.. (2025). BCA: Besiege and Conquer Algorithm. Symmetry. 17(2). 217–217.
6.
Xu, Gaochao, et al.. (2025). Multiobjective Optimization of Energy Efficiency and Fairness in AAV-Assisted Wireless Powered MEC Systems: A DRL-Based Approach. IEEE Internet of Things Journal. 12(14). 28758–28775.
7.
Meng, Xianqiu, et al.. (2024). Simulation and analytical study of the process parameters of the press-fit method. International Journal of Nanomanufacturing. 19(1). 1–22. 1 indexed citations
8.
Chen, He, et al.. (2023). Optimizing a Multi-Layer Perceptron Based on an Improved Gray Wolf Algorithm to Identify Plant Diseases. Mathematics. 11(15). 3312–3312. 5 indexed citations
9.
Meng, Xianqiu, et al.. (2022). Multi-Layer Perception model with Elastic Grey Wolf Optimization to predict student achievement. PLoS ONE. 17(12). e0276943–e0276943. 4 indexed citations
10.
Jiang, Jianhua, Xianqiu Meng, Yang Liu, & Huan Wang. (2022). An Enhanced TSA-MLP Model for Identifying Credit Default Problems. SAGE Open. 12(2). 5 indexed citations
11.
Jiang, Jianhua, et al.. (2022). Enhance tree-seed algorithm using hierarchy mechanism for constrained optimization problems. Expert Systems with Applications. 209. 118311–118311. 15 indexed citations
12.
Meng, Xianqiu, Jianhua Jiang, & Huan Wang. (2021). AGWO: Advanced GWO in multi-layer perception optimization. Expert Systems with Applications. 173. 114676–114676. 41 indexed citations
13.
Jiang, Jianhua, et al.. (2020). Enhancing tree-seed algorithm via feed-back mechanism for optimizing continuous problems. Applied Soft Computing. 92. 106314–106314. 24 indexed citations
14.
Jiang, Jianhua, et al.. (2020). TSASC: tree–seed algorithm with sine–cosine enhancement for continuous optimization problems. Soft Computing. 24(24). 18627–18646. 15 indexed citations
15.
Jiang, Jianhua, et al.. (2019). EST-TSA: An effective search tendency based to tree seed algorithm. Physica A Statistical Mechanics and its Applications. 534. 122323–122323. 17 indexed citations
16.
Jiang, Jianhua, Yujun Chen, Xianqiu Meng, Limin Wang, & Keqin Li. (2019). A novel density peaks clustering algorithm based on k nearest neighbors for improving assignment process. Physica A Statistical Mechanics and its Applications. 523. 702–713. 42 indexed citations
17.
Jiang, Jianhua, et al.. (2019). Enhance chaotic gravitational search algorithm (CGSA) by balance adjustment mechanism and sine randomness function for continuous optimization problems. Physica A Statistical Mechanics and its Applications. 537. 122621–122621. 18 indexed citations
18.
Jiang, Jianhua, Ran Jiang, Xianqiu Meng, & Keqin Li. (2019). SCGSA: A sine chaotic gravitational search algorithm for continuous optimization problems. Expert Systems with Applications. 144. 113118–113118. 22 indexed citations
19.
Jiang, Jianhua, et al.. (2019). STSA: A sine Tree-Seed Algorithm for complex continuous optimization problems. Physica A Statistical Mechanics and its Applications. 537. 122802–122802. 44 indexed citations
20.
Meng, Xianqiu, A.J. Morris, & E.B. Martin. (2003). On‐line monitoring of batch processes using a PARAFAC representation. Journal of Chemometrics. 17(1). 65–81. 45 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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