Caiyang Yu

637 total citations
12 papers, 513 citations indexed

About

Caiyang Yu is a scholar working on Artificial Intelligence, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Caiyang Yu has authored 12 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Control and Systems Engineering and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Caiyang Yu's work include Metaheuristic Optimization Algorithms Research (4 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Machine Learning and ELM (2 papers). Caiyang Yu is often cited by papers focused on Metaheuristic Optimization Algorithms Research (4 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Machine Learning and ELM (2 papers). Caiyang Yu collaborates with scholars based in China, Singapore and Iran. Caiyang Yu's co-authors include Huiling Chen, Ali Asghar Heidari, Chengye Li, Yueting Xu, Shimin Li, Xiang Zhang, Xuehua Zhao, Kai Cheng, Fangjun Kuang and Chao Ma and has published in prestigious journals such as Expert Systems with Applications, Sustainability and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Caiyang Yu

12 papers receiving 503 citations

Peers

Caiyang Yu
Andi Tang China
Sew Sun Tiang Malaysia
Bahaa El-din Helmy Egypt
Hathiram Nenavath India
Zheng-Ming Gao China
Koon Meng Ang Malaysia
Mohamed A. Mahdy Egypt
Lei Xie China
Ying Ling China
Mohammed R. Saad Egypt
Andi Tang China
Caiyang Yu
Citations per year, relative to Caiyang Yu Caiyang Yu (= 1×) peers Andi Tang

Countries citing papers authored by Caiyang Yu

Since Specialization
Citations

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

Fields of papers citing papers by Caiyang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caiyang Yu

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

All Works

12 of 12 papers shown
1.
Huang, Shudong, Wentao Feng, Chenwei Tang, et al.. (2025). Partial Differential Equations Meet Deep Neural Networks: A Survey. IEEE Transactions on Neural Networks and Learning Systems. 36(8). 13649–13669. 7 indexed citations
2.
3.
Yu, Caiyang, et al.. (2024). GPT-NAS: Neural Architecture Search Meets Generative Pre-Trained Transformer Model. Big Data Mining and Analytics. 8(1). 45–64. 1 indexed citations
4.
5.
Yu, Caiyang, Yixi Wang, Chenwei Tang, Wentao Feng, & Jiancheng Lv. (2023). EU-Net: Automatic U-Net neural architecture search with differential evolutionary algorithm for medical image segmentation. Computers in Biology and Medicine. 167. 107579–107579. 16 indexed citations
6.
Guo, Feng, Jian Li, Chi Zhang, et al.. (2023). Optimized Power and Capacity Configuration Strategy of a Grid-Side Energy Storage System for Peak Regulation. Energies. 16(15). 5644–5644. 3 indexed citations
7.
Tang, Chenwei, Caiyang Yu, Yi Gao, et al.. (2022). Deep learning in nuclear industry: A survey. Big Data Mining and Analytics. 5(2). 140–160. 19 indexed citations
8.
Yu, Caiyang, Mengxiang Chen, Kai Cheng, et al.. (2021). SGOA: annealing-behaved grasshopper optimizer for global tasks. Engineering With Computers. 38(S5). 3761–3788. 126 indexed citations
9.
Yu, Caiyang, Ali Asghar Heidari, Xiao Xue, et al.. (2021). Boosting quantum rotation gate embedded slime mould algorithm. Expert Systems with Applications. 181. 115082–115082. 61 indexed citations
10.
Yu, Caiyang, Ali Asghar Heidari, & Huiling Chen. (2020). A quantum-behaved simulated annealing algorithm-based moth-flame optimization method. Applied Mathematical Modelling. 87. 1–19. 55 indexed citations
11.
Yu, Caiyang, Zhennao Cai, Xiaojia Ye, et al.. (2020). Quantum-like mutation-induced dragonfly-inspired optimization approach. Mathematics and Computers in Simulation. 178. 259–289. 36 indexed citations
12.
Zhang, Xiang, Yueting Xu, Caiyang Yu, et al.. (2019). Gaussian mutational chaotic fruit fly-built optimization and feature selection. Expert Systems with Applications. 141. 112976–112976. 183 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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2026