Wei–Jie Yu

1.9k total citations
52 papers, 1.5k citations indexed

About

Wei–Jie Yu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Wei–Jie Yu has authored 52 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 23 papers in Computational Theory and Mathematics and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Wei–Jie Yu's work include Metaheuristic Optimization Algorithms Research (27 papers), Advanced Multi-Objective Optimization Algorithms (23 papers) and Evolutionary Algorithms and Applications (17 papers). Wei–Jie Yu is often cited by papers focused on Metaheuristic Optimization Algorithms Research (27 papers), Advanced Multi-Objective Optimization Algorithms (23 papers) and Evolutionary Algorithms and Applications (17 papers). Wei–Jie Yu collaborates with scholars based in China, Australia and Hong Kong. Wei–Jie Yu's co-authors include Jun Zhang, Zhi‐Hui Zhan, Ying Lin, Zijia Wang, Wei–Neng Chen, Tianlong Gu, Yue‐Jiao Gong, Sam Kwong, Hua Wang and Jie Zhang and has published in prestigious journals such as The Science of The Total Environment, IEEE Access and Sensors.

In The Last Decade

Wei–Jie Yu

46 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei–Jie Yu China 17 999 696 169 157 133 52 1.5k
Mohamed A. Tawhid Canada 20 760 0.8× 520 0.7× 137 0.8× 111 0.7× 128 1.0× 65 1.3k
Ilhem Boussaïd Algeria 4 680 0.7× 398 0.6× 182 1.1× 189 1.2× 150 1.1× 4 1.3k
Zahra Beheshti Iran 19 828 0.8× 347 0.5× 175 1.0× 140 0.9× 176 1.3× 32 1.3k
Zhengping Liang China 19 994 1.0× 832 1.2× 77 0.5× 137 0.9× 100 0.8× 48 1.4k
Changhe Li China 19 1.3k 1.3× 984 1.4× 165 1.0× 155 1.0× 194 1.5× 67 1.8k
Dunwei Gong China 21 994 1.0× 968 1.4× 224 1.3× 181 1.2× 194 1.5× 53 1.7k
Anand J. Kulkarni India 17 642 0.6× 348 0.5× 137 0.8× 165 1.1× 150 1.1× 81 1.1k
Michael G. Epitropakis United Kingdom 15 1.0k 1.0× 804 1.2× 72 0.4× 110 0.7× 118 0.9× 32 1.4k
Sanyou Zeng China 19 958 1.0× 746 1.1× 187 1.1× 122 0.8× 193 1.5× 87 1.4k

Countries citing papers authored by Wei–Jie Yu

Since Specialization
Citations

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

Fields of papers citing papers by Wei–Jie Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei–Jie Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Wei–Jie Yu. A scholar is included among the top collaborators of Wei–Jie 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 Wei–Jie Yu. Wei–Jie Yu 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.
Yu, Wei–Jie, et al.. (2025). A Multi-Agent Reinforcement Learning-Based Resilience Engineering Method for Mobility-as-a-Service. IEEE Transactions on Network and Service Management. 23. 2135–2148.
2.
Liu, Xin, Xiaoyu Su, Lei Cai, et al.. (2024). MOFs/COFs-based hybrids for agricultural sensors: Current state of art and beyond. TrAC Trends in Analytical Chemistry. 172. 117603–117603. 12 indexed citations
3.
4.
Dai, Yeming & Wei–Jie Yu. (2024). Short-term power load forecasting based on Seq2Seq model integrating Bayesian optimization, temporal convolutional network and attention. Applied Soft Computing. 166. 112248–112248. 19 indexed citations
5.
Hua, Xuedong, et al.. (2023). Impact of Multi-Class Cyberattacks on Vehicle Dynamics and Rear-End Collision Risks for Heterogeneous Traffic Flow. SSRN Electronic Journal. 1 indexed citations
6.
Liu, Jiamin, et al.. (2023). How much carbon storage will loss in a desertification area? Multiple policy scenario analysis from Gansu Province. The Science of The Total Environment. 913. 169668–169668. 11 indexed citations
7.
8.
Zhong, Jinghui, et al.. (2022). An evolutionary framework for automatic security guards deployment in large public spaces. Applied Intelligence. 53(10). 11586–11598. 1 indexed citations
9.
Liu, Xinxin, Dong Liu, Qiang Yang, et al.. (2021). Comparative Analysis of Five Local Search Operators on Visiting Constrained Multiple Traveling Salesmen Problem. 2021 IEEE Symposium Series on Computational Intelligence (SSCI). 1–8. 12 indexed citations
10.
Wang, Zijia, Zhi‐Hui Zhan, Wei–Jie Yu, et al.. (2019). Dynamic Group Learning Distributed Particle Swarm Optimization for Large-Scale Optimization and Its Application in Cloud Workflow Scheduling. IEEE Transactions on Cybernetics. 50(6). 2715–2729. 200 indexed citations
11.
Zhong, Jinghui, et al.. (2019). Surrogate-Assisted Evolutionary Framework with Adaptive Knowledge Transfer for Multi-Task Optimization. IEEE Transactions on Emerging Topics in Computing. 9(4). 1930–1944. 63 indexed citations
12.
Ge, Yong-Feng, Jinli Cao, Hua Wang, et al.. (2019). A benefit-driven genetic algorithm for balancing privacy and utility in database fragmentation. Proceedings of the Genetic and Evolutionary Computation Conference. 771–776. 6 indexed citations
13.
Chen, Wei–Neng, et al.. (2017). Fast pedestrian detection using multimodal estimation of distribution algorithms. Proceedings of the Genetic and Evolutionary Computation Conference. 1248–1255. 12 indexed citations
14.
Ge, Yong-Feng, Wei–Jie Yu, Ying Lin, et al.. (2017). Distributed Differential Evolution Based on Adaptive Mergence and Split for Large-Scale Optimization. IEEE Transactions on Cybernetics. 48(7). 2166–2180. 74 indexed citations
15.
Ji, Jing–Yu, Wei–Jie Yu, & Jun Zhang. (2017). A two-stage coevolution approach for constrained optimization. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 1 indexed citations
16.
Yu, Wei–Jie, Jing–Yu Ji, Yue‐Jiao Gong, Qiang Yang, & Jun Zhang. (2017). A tri-objective differential evolution approach for multimodal optimization. Information Sciences. 423. 1–23. 41 indexed citations
17.
Wang, Zijia, Zhi‐Hui Zhan, Ying Lin, et al.. (2017). Dual-Strategy Differential Evolution With Affinity Propagation Clustering for Multimodal Optimization Problems. IEEE Transactions on Evolutionary Computation. 22(6). 894–908. 153 indexed citations
18.
Ge, Yong-Feng, Yue‐Jiao Gong, Wei–Jie Yu, Xiao-Min Hu, & Jun Zhang. (2015). Reconstructing Cross-Cut Shredded Text Documents. Victoria University Research Repository (Victoria University). 847–853. 1 indexed citations
19.
Hu, Xiao-Min, Zhi‐Hui Zhan, Ying Lin, et al.. (2013). Multiobjective genetic algorithm for demand side management of smart grid. 14–21. 10 indexed citations
20.
Yu, Wei–Jie & Jun Zhang. (2012). Adaptive differential evolution with optimization state estimation. 1285–1292. 10 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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