Shengwei Fu

569 total citations · 2 hit papers
17 papers, 289 citations indexed

About

Shengwei Fu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Shengwei Fu has authored 17 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Aerospace Engineering. Recurrent topics in Shengwei Fu's work include Metaheuristic Optimization Algorithms Research (7 papers), Robotic Path Planning Algorithms (6 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). Shengwei Fu is often cited by papers focused on Metaheuristic Optimization Algorithms Research (7 papers), Robotic Path Planning Algorithms (6 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). Shengwei Fu collaborates with scholars based in China, Iran and United States. Shengwei Fu's co-authors include Haisong Huang, Chi Ma, Qingsong Fan, Yunwei Zhu, Ke Li, Youfa Fu, Ke Li, Yiting Li, Jianan Wei and Ling He and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Shengwei Fu

14 papers receiving 278 citations

Hit Papers

align trajectories

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.

Red-billed blue magpie optimizer: a novel metaheuristic algorithm for 2D/3D UAV path planning and engineering design problems

2024 109 citations Shengwei Fu, Ke Li et al. Artificial Intelligence Review profile →
Modified LSHADE-SPACMA with new mutation strategy and external archive mechanism for numerical optimization and point cloud registration

2025 20 citations Shengwei Fu, Chi Ma et al. Artificial Intelligence Review profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shengwei Fu China	7	156	91	59	56	41	17	289
Shihong Yin China	12	168 1.1×	94 1.0×	96 1.6×	38 0.7×	60 1.5×	23	358
Suleman Mir Pakistan	10	113 0.7×	127 1.4×	39 0.7×	114 2.0×	15 0.4×	24	302
Tien-Szu Pan Taiwan	10	143 0.9×	96 1.1×	50 0.8×	35 0.6×	83 2.0×	23	344
Ruo-Bin Wang China	6	114 0.7×	32 0.4×	55 0.9×	17 0.3×	18 0.4×	7	237
Rui Zhong Japan	11	191 1.2×	39 0.4×	78 1.3×	38 0.7×	36 0.9×	47	295
Mengjian Zhang China	8	125 0.8×	23 0.3×	46 0.8×	20 0.4×	64 1.6×	30	281
Zhenglei Wei China	9	232 1.5×	52 0.6×	74 1.3×	57 1.0×	20 0.5×	30	329
Ashkan Jasour United States	10	84 0.5×	129 1.4×	39 0.7×	55 1.0×	7 0.2×	30	321
Fawei Ge China	10	66 0.4×	166 1.8×	18 0.3×	118 2.1×	26 0.6×	20	301
Farid Khaber Algeria	10	85 0.5×	124 1.4×	27 0.5×	44 0.8×	39 1.0×	21	313

Countries citing papers authored by Shengwei Fu

Since Specialization

Citations

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

Fields of papers citing papers by Shengwei Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengwei Fu

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Wei, D. M., et al.. (2025). Multi-objective red-billed blue magpie optimizer: A novel algorithm for multi-objective UAV path planning. Results in Engineering. 27. 106785–106785. 2 indexed citations

Fu, Shengwei, Yuhong Yu, Z. Sun, et al.. (2025). Performance of a MICROMEGAS-based Twins-TPC in Laser and beam tests. Journal of Instrumentation. 20(4). T04006–T04006.

Gong, Guangming, et al.. (2025). Multi-strategy improved snake optimizer based on adaptive lévy flight and dual-lens fusion. Cluster Computing. 28(4). 1 indexed citations

Yu, Mingyang, Xiaomei Xu, Jing Xu, et al.. (2025). A multi-strategy enhanced Dung Beetle Optimization for real-world engineering problems and UAV path planning. Alexandria Engineering Journal. 118. 406–434. 6 indexed citations

Fu, Shengwei, et al.. (2025). Beaver behavior optimizer: A novel metaheuristic algorithm for solar PV parameter identification and engineering problems. Journal of Advanced Research. 2 indexed citations

Fu, Shengwei, Chi Ma, Qingsong Fan, et al.. (2025). Modified LSHADE-SPACMA with new mutation strategy and external archive mechanism for numerical optimization and point cloud registration. Artificial Intelligence Review. 58(3). 20 indexed citations breakdown →

Fu, Shengwei, et al.. (2025). Dynamic Graph Neural Evolution: An Evolutionary Framework Integrating Graph Neural Networks with Adaptive Filtering. 1–8. 1 indexed citations

Fu, Shengwei, et al.. (2024). Enhanced iteration closest point is based on stochastic differential evolution algorithm and random sampling. 6–9.

Fu, Youfa, Dan Liu, Shengwei Fu, Jiadui Chen, & Ling He. (2024). Enhanced Aquila optimizer based on tent chaotic mapping and new rules. Scientific Reports. 14(1). 3013–3013. 27 indexed citations

10.

Li, Shaobo, et al.. (2024). Multiple elite strategy enhanced RIME algorithm for 3D UAV path planning. Scientific Reports. 14(1). 21734–21734. 4 indexed citations

11.

He, Ling, et al.. (2024). Path planning and engineering problems of 3D UAV based on adaptive coati optimization algorithm. Scientific Reports. 14(1). 30717–30717. 2 indexed citations

12.

Fu, Shengwei, et al.. (2024). Differential evolution with multi-strategies for UAV trajectory planning and point cloud registration. Applied Soft Computing. 167. 112466–112466. 4 indexed citations

13.

Fu, Shengwei, et al.. (2024). Escape: an optimization method based on crowd evacuation behaviors. Artificial Intelligence Review. 58(1). 28 indexed citations

14.

Fu, Shengwei, et al.. (2024). Aitken optimizer: an efficient optimization algorithm based on the Aitken acceleration method. The Journal of Supercomputing. 81(1). 2 indexed citations

15.

Fu, Shengwei, Ke Li, Haisong Huang, et al.. (2024). Red-billed blue magpie optimizer: a novel metaheuristic algorithm for 2D/3D UAV path planning and engineering design problems. Artificial Intelligence Review. 57(6). 109 indexed citations breakdown →

16.

Fu, Shengwei, Haisong Huang, Chi Ma, et al.. (2023). Improved dwarf mongoose optimization algorithm using novel nonlinear control and exploration strategies. Expert Systems with Applications. 233. 120904–120904. 38 indexed citations

17.

Li, Ke, Haisong Huang, Shengwei Fu, et al.. (2023). A multi-strategy enhanced northern goshawk optimization algorithm for global optimization and engineering design problems. Computer Methods in Applied Mechanics and Engineering. 415. 116199–116199. 43 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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