Shuhao Yu

406 total citations
11 papers, 326 citations indexed

About

Shuhao Yu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shuhao Yu has authored 11 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shuhao Yu's work include Metaheuristic Optimization Algorithms Research (7 papers), Evolutionary Algorithms and Applications (3 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). Shuhao Yu is often cited by papers focused on Metaheuristic Optimization Algorithms Research (7 papers), Evolutionary Algorithms and Applications (3 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). Shuhao Yu collaborates with scholars based in China. Shuhao Yu's co-authors include Yan Ma, Shoubao Su, Li Huang, Shanlin Yang, Xianglin Fan and Chunyang Ye and has published in prestigious journals such as Applied Mathematics and Computation, Wireless Personal Communications and Computing.

In The Last Decade

Shuhao Yu

10 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shuhao Yu China	7	220	92	48	43	37	11	326
Sayan Maity United States	7	191 0.9×	138 1.5×	48 1.0×	45 1.0×	19 0.5×	9	310
Junbo Jacob Lian China	6	217 1.0×	97 1.1×	65 1.4×	44 1.0×	34 0.9×	15	421
Lingjie Li China	12	247 1.1×	131 1.4×	41 0.9×	55 1.3×	34 0.9×	33	418
M. A. Makhlouf Egypt	8	206 0.9×	56 0.6×	75 1.6×	33 0.8×	50 1.4×	18	372
Zhenglei Wei China	9	232 1.1×	74 0.8×	52 1.1×	32 0.7×	15 0.4×	30	329
Morteza Alinia Ahandani Iran	11	227 1.0×	110 1.2×	27 0.6×	43 1.0×	29 0.8×	25	367
Ahmet Babalık Türkiye	7	191 0.9×	114 1.2×	31 0.6×	37 0.9×	29 0.8×	17	321
Raffaele Mascella Italy	8	206 0.9×	100 1.1×	36 0.8×	44 1.0×	15 0.4×	18	303
Abdelmonem M. Ibrahim Egypt	11	239 1.1×	126 1.4×	47 1.0×	35 0.8×	31 0.8×	15	348
Elliackin Figueiredo Brazil	11	229 1.0×	100 1.1×	38 0.8×	48 1.1×	19 0.5×	16	369

Countries citing papers authored by Shuhao Yu

Since Specialization

Citations

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

Fields of papers citing papers by Shuhao Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuhao Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Shuhao Yu. A scholar is included among the top collaborators of Shuhao Yu 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 Shuhao Yu. Shuhao Yu 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:

11 of 11 papers shown

1.

Yu, Shuhao, et al.. (2022). SDFA: A Vessel Trajectory Clustering Technology and Application Oriented to Multi-feature Fusion Model. 52–55.

2.

Yu, Shuhao, et al.. (2021). An improved firefly algorithm based on personalized step strategy. Computing. 103(4). 735–748. 6 indexed citations

3.

Yu, Shuhao, et al.. (2021). Modified Jaya algorithm with chaos. International Journal of Reasoning-based Intelligent Systems. 13(3). 132–132. 2 indexed citations

4.

Yu, Shuhao, et al.. (2021). Matrix‐based method for solving decision domains of neighbourhood multigranulation decision‐theoretic rough sets. CAAI Transactions on Intelligence Technology. 7(2). 313–327. 10 indexed citations

5.

Yu, Shuhao, et al.. (2019). Incomplete neighbourhood multi‐granulation decision‐theoretic rough set in the hybrid‐valued decision system. The Journal of Engineering. 2019(12). 8477–8488. 2 indexed citations

6.

Yu, Shuhao, et al.. (2018). An Improved Firefly Algorithm for Feature Selection in Classification. Wireless Personal Communications. 102(4). 2823–2834. 29 indexed citations

7.

Yu, Shuhao, Shoubao Su, & Li Huang. (2015). A simple diversity guided firefly algorithm. Kybernetes. 44(1). 43–56. 7 indexed citations

8.

Yu, Shuhao, et al.. (2015). A variable step size firefly algorithm for numerical optimization. Applied Mathematics and Computation. 263. 214–220. 113 indexed citations

9.

Yu, Shuhao, et al.. (2015). Enhancing firefly algorithm using generalized opposition-based learning. Computing. 97(7). 741–754. 45 indexed citations

10.

Yu, Shuhao, et al.. (2014). A novel wise step strategy for firefly algorithm. International Journal of Computer Mathematics. 91(12). 2507–2513. 65 indexed citations

11.

Yu, Shuhao, Shanlin Yang, & Shoubao Su. (2013). Self-Adaptive Step Firefly Algorithm. Journal of Applied Mathematics. 2013. 1–8. 47 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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