Youlin Shang

1.2k total citations
85 papers, 747 citations indexed

About

Youlin Shang is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Youlin Shang has authored 85 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Numerical Analysis, 48 papers in Computational Theory and Mathematics and 31 papers in Artificial Intelligence. Recurrent topics in Youlin Shang's work include Advanced Optimization Algorithms Research (51 papers), Optimization and Variational Analysis (22 papers) and Metaheuristic Optimization Algorithms Research (22 papers). Youlin Shang is often cited by papers focused on Advanced Optimization Algorithms Research (51 papers), Optimization and Variational Analysis (22 papers) and Metaheuristic Optimization Algorithms Research (22 papers). Youlin Shang collaborates with scholars based in China, United States and Canada. Youlin Shang's co-authors include Ping Zhang, Hongwei Jiao, Liansheng Zhang, Yongjian Yang, Peiluan Li, Changjin Xu, Wenjie Wang, Changhe Liu, Lingyun Yao and Maoxin Liao and has published in prestigious journals such as European Journal of Operational Research, IEEE Access and Information Sciences.

In The Last Decade

Youlin Shang

74 papers receiving 710 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Youlin Shang China 16 329 329 273 144 66 85 747
P. Kaelo Botswana 11 165 0.5× 283 0.9× 345 1.3× 83 0.6× 32 0.5× 33 712
Dmitri E. Kvasov Italy 19 419 1.3× 562 1.7× 441 1.6× 190 1.3× 48 0.7× 34 995
Zhiyou Wu China 16 271 0.8× 299 0.9× 185 0.7× 155 1.1× 323 4.9× 58 974
Giampaolo Liuzzi Italy 17 350 1.1× 452 1.4× 219 0.8× 151 1.0× 29 0.4× 58 836
Sanyang Liu China 19 483 1.5× 410 1.2× 84 0.3× 198 1.4× 55 0.8× 83 1.0k
Claus Hillermeier Germany 6 85 0.3× 380 1.2× 242 0.9× 142 1.0× 21 0.3× 21 666
Momin Jamil Sweden 5 99 0.3× 407 1.2× 551 2.0× 100 0.7× 72 1.1× 13 962
Reza Ghanbari Iran 18 479 1.5× 235 0.7× 105 0.4× 107 0.7× 52 0.8× 81 971
Francesco Rinaldi Italy 17 276 0.8× 298 0.9× 169 0.6× 185 1.3× 52 0.8× 63 872
Günter Mayer Germany 12 254 0.8× 572 1.7× 124 0.5× 197 1.4× 33 0.5× 36 880

Countries citing papers authored by Youlin Shang

Since Specialization
Citations

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

Fields of papers citing papers by Youlin Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youlin Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Youlin Shang. A scholar is included among the top collaborators of Youlin Shang 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 Youlin Shang. Youlin Shang 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.
Shang, Youlin, et al.. (2025). An efficient algorithm via a novel one-parameter filled function based on general univariate functions for unconstrained global optimization. Journal of Computational and Applied Mathematics. 468. 116632–116632.
2.
Gao, Yan, et al.. (2025). Real time pricing for electricity and carbon of smart grid considering demand side energy management. IMA Journal of Management Mathematics. 37(1). 209–237.
3.
Yuan, Kehong, Youlin Shang, Haixiang Guo, Yongsheng Dong, & Zhonghua Liu. (2025). A model of feature extraction for well logging data based on graph regularized non-negative matrix factorization with optimal estimation. Complex & Intelligent Systems. 11(4). 1 indexed citations
4.
Shang, Youlin, et al.. (2024). A new parameter-free continuously differentiable filled function algorithm for solving nonlinear equations and data fitting problems. Journal of Computational and Applied Mathematics. 454. 116198–116198. 2 indexed citations
5.
Jiao, Hongwei, et al.. (2024). Reduced Outer Space Algorithm for Globally Computing Affine Sum-of-Ratios Problems. Asia Pacific Journal of Operational Research. 42(3).
6.
Jiao, Hongwei, et al.. (2024). Global algorithm for effectively solving min-max affine fractional programs. Journal of Applied Mathematics and Computing. 70(2). 1787–1811. 3 indexed citations
7.
Jiao, Hongwei, et al.. (2023). A Novel Affine Relaxation-Based Algorithm for Minimax Affine Fractional Program. Asia Pacific Journal of Operational Research. 41(5). 2 indexed citations
8.
9.
Liu, Jia, et al.. (2023). An extended linearized alternating direction method of multipliers for Fused-LASSO penalized linear regression. Journal of Industrial and Management Optimization. 19(11). 8074–8088. 2 indexed citations
10.
Jiao, Hongwei, et al.. (2023). Efficient algorithm for globally computing the min–max linear fractional programming problem. RAIRO. Operations research. 57(3). 1523–1537. 4 indexed citations
11.
Jiao, Hongwei & Youlin Shang. (2022). Two-Level Linear Relaxation Method for Generalized Linear Fractional Programming. Journal of the Operations Research Society of China. 11(3). 569–594. 25 indexed citations
12.
Shang, Youlin, et al.. (2022). An Efficient and Robust Improved Whale Optimization Algorithm for Large Scale Global Optimization Problems. Electronics. 11(9). 1475–1475. 15 indexed citations
13.
Shang, Youlin, et al.. (2021). Filled function method to optimize supply chain transportation costs. Journal of Industrial and Management Optimization. 18(5). 3339–3339. 9 indexed citations
14.
Shang, Youlin, et al.. (2019). Global Algorithm for Generalized Affine Multiplicative Programming Problem. IEEE Access. 7. 162245–162253. 12 indexed citations
15.
Shang, Youlin, et al.. (2018). A new filter QP-free method for the nonlinear inequality constrained optimization problem. Journal of Inequalities and Applications. 2018(1). 278–278. 1 indexed citations
16.
Shang, Youlin, et al.. (2017). New Tunnel-Filled Function Method for Discrete Global Optimization. Journal of the Operations Research Society of China. 5(2). 291–300. 8 indexed citations
17.
Gu, Rui, et al.. (2014). End-completely-regular and End-inverse joins of graphs.. Ars Combinatoria. 117. 387–398. 1 indexed citations
18.
Shang, Youlin, et al.. (2010). Semi-supervised outlier detection based on fuzzy rough C-means clustering. Mathematics and Computers in Simulation. 80(9). 1911–1921. 59 indexed citations
19.
Shang, Youlin & Liansheng Zhang. (2004). A filled function method for finding a global minimizer on global integer optimization. Journal of Computational and Applied Mathematics. 181(1). 200–210. 26 indexed citations
20.
Shang, Youlin, et al.. (2003). LEGENDRY AND CHEBYSHEV PSEUDOSPECTRAL METHODS FOR THE GENERALIZED SYMMETRIC REGULARIZED LONG WAVE EQUATIONS. Acta Mathematicae Applicatae Sinica English Series. 3 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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