Xiaobing Yu

2.5k total citations · 1 hit paper
96 papers, 1.8k citations indexed

About

Xiaobing Yu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Xiaobing Yu has authored 96 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Artificial Intelligence, 38 papers in Computational Theory and Mathematics and 22 papers in Electrical and Electronic Engineering. Recurrent topics in Xiaobing Yu's work include Metaheuristic Optimization Algorithms Research (42 papers), Advanced Multi-Objective Optimization Algorithms (35 papers) and Evolutionary Algorithms and Applications (24 papers). Xiaobing Yu is often cited by papers focused on Metaheuristic Optimization Algorithms Research (42 papers), Advanced Multi-Objective Optimization Algorithms (35 papers) and Evolutionary Algorithms and Applications (24 papers). Xiaobing Yu collaborates with scholars based in China, United States and India. Xiaobing Yu's co-authors include Chenliang Li, Xuming Wang, Chenliang Li, Mingyuan Li, Jun Guo, Xiaorong Huang, Shunsheng Guo, Gary G. Yen, Zhenpeng Hu and Zhonghui Ji and has published in prestigious journals such as Journal of Cleaner Production, Expert Systems with Applications and IEEE Access.

In The Last Decade

Xiaobing Yu

89 papers receiving 1.7k 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.

A hybrid algorithm based on grey wolf optimizer and differential evolution for UAV path planning

2022 167 citations Xiaobing Yu, Xuming Wang et al. Expert Systems with Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaobing Yu China	22	691	416	343	327	255	96	1.8k
Jianwei Zhao China	23	1.1k 1.5×	269 0.6×	403 1.2×	129 0.4×	476 1.9×	44	2.2k
Jooyoung Park South Korea	21	605 0.9×	329 0.8×	88 0.3×	135 0.4×	311 1.2×	77	2.1k
Changzhi Wu China	30	407 0.6×	153 0.4×	247 0.7×	148 0.5×	495 1.9×	133	2.7k
A. Portilla-Figueras Spain	23	705 1.0×	138 0.3×	170 0.5×	464 1.4×	909 3.6×	104	2.0k
Wen-Tsao Pan China	6	612 0.9×	149 0.4×	221 0.6×	70 0.2×	212 0.8×	12	1.3k
Ning Zhu China	25	356 0.5×	79 0.2×	184 0.5×	269 0.8×	408 1.6×	109	2.0k
Mohd Najib Mohd Salleh Malaysia	12	881 1.3×	194 0.5×	360 1.0×	44 0.1×	196 0.8×	45	1.6k
Xiaohu Shi China	16	885 1.3×	206 0.5×	327 1.0×	72 0.2×	234 0.9×	64	1.7k
Eneko Osaba Spain	23	1.3k 1.9×	212 0.5×	551 1.6×	74 0.2×	231 0.9×	108	2.5k

Countries citing papers authored by Xiaobing Yu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaobing Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobing Yu

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

All Works

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20 of 20 papers shown

Wang, Haoyu, et al.. (2025). A reinforcement learning-based ranking teaching-learning-based optimization algorithm for parameters estimation of photovoltaic models. Swarm and Evolutionary Computation. 93. 101844–101844. 12 indexed citations

Wang, Xuming, Jiaqi Zhou, & Xiaobing Yu. (2025). An optimized extreme learning machine composite framework for point, probabilistic, and quantile regression forecasting of carbon price. Process Safety and Environmental Protection. 195. 106772–106772. 2 indexed citations

Yu, Xiaobing, et al.. (2025). Optimizing islanded microgrid scheduling with reinforcement learning enhanced multi-strategy cuckoo search algorithm. Applied Soft Computing. 186. 114251–114251.

Yu, Xiaobing, et al.. (2025). A dueling double deep Q network assisted cooperative dual-population coevolutionary algorithm for multi-objective combined economic and emission dispatch problems. Swarm and Evolutionary Computation. 95. 101949–101949.

Yu, Xiaobing, et al.. (2024). Dual-stage and dual-population cooperative evolutionary algorithm for solving constrained multiobjective problems. Applied Soft Computing. 160. 111703–111703. 5 indexed citations

Wang, Haoyu & Xiaobing Yu. (2024). A ranking improved teaching-learning-based optimization algorithm for parameters identification of photovoltaic models. Applied Soft Computing. 167. 112371–112371. 2 indexed citations

Yu, Xiaobing, et al.. (2024). Deep reinforcement learning-guided coevolutionary algorithm for constrained multiobjective optimization. Information Sciences. 692. 121648–121648. 2 indexed citations

Yu, Xiaobing, et al.. (2024). Reinforcement learning-based differential evolution algorithm for constrained multi-objective optimization problems. Engineering Applications of Artificial Intelligence. 131. 107817–107817. 14 indexed citations

Yu, Xiaobing, et al.. (2024). A combined model based on decomposition and reorganization, weight optimization algorithms for carbon price point and interval prediction. Journal of Cleaner Production. 472. 143445–143445. 7 indexed citations

10.

Yu, Xiaobing, et al.. (2024). An improved reinforcement learning-based differential evolution algorithm for combined economic and emission dispatch problems. Engineering Applications of Artificial Intelligence. 140. 109709–109709. 6 indexed citations

11.

Yu, Xiaobing, et al.. (2023). Ranking teaching–learning-based optimization algorithm to estimate the parameters of solar models. Engineering Applications of Artificial Intelligence. 123. 106225–106225. 30 indexed citations

12.

Yu, Xiaobing & Jiaqi Zhou. (2023). A robust method based on reinforcement learning and differential evolution for the optimal photovoltaic parameter extraction. Applied Soft Computing. 148. 110916–110916. 12 indexed citations

13.

Yu, Xiaobing, et al.. (2023). Reinforcement learning-based multi-strategy cuckoo search algorithm for 3D UAV path planning. Expert Systems with Applications. 223. 119910–119910. 67 indexed citations

14.

Yu, Xiaobing, et al.. (2023). Sub-population improved grey wolf optimizer with Gaussian mutation and Lévy flight for parameters identification of photovoltaic models. Expert Systems with Applications. 232. 120827–120827. 33 indexed citations

15.

Wang, Xuming, et al.. (2023). A Hybrid Brain Storm Optimization Algorithm to Solve the Emergency Relief Routing Model. Sustainability. 15(10). 8187–8187. 4 indexed citations

16.

Yu, Xiaobing & Wen Zhang. (2023). A teaching-learning-based optimization algorithm with reinforcement learning to address wind farm layout optimization problem. Applied Soft Computing. 151. 111135–111135. 16 indexed citations

17.

Yu, Xiaobing, et al.. (2023). An adaptive learning grey wolf optimizer for coverage optimization in WSNs. Expert Systems with Applications. 238. 121917–121917. 19 indexed citations

18.

Yu, Xiaobing, et al.. (2021). Exponential Rank Differential Evolution Algorithm for Disaster Emergency Vehicle Path Planning. IEEE Access. 9. 10880–10892. 7 indexed citations

19.

Yu, Xiaobing, et al.. (2018). Evaluating Multiobjective Evolutionary Algorithms Using MCDM Methods. Mathematical Problems in Engineering. 2018. 1–13. 23 indexed citations

20.

Yu, Xiaobing & Jun Guo. (2013). A Novel Adaptive Particle Swarm Optimization. Journal of Engineering Science and Technology Review. 6(2). 178–183. 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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