Yi Mei

9.8k total citations · 1 hit paper
250 papers, 6.1k citations indexed

About

Yi Mei is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Yi Mei has authored 250 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Artificial Intelligence, 119 papers in Industrial and Manufacturing Engineering and 44 papers in Computational Theory and Mathematics. Recurrent topics in Yi Mei's work include Metaheuristic Optimization Algorithms Research (110 papers), Evolutionary Algorithms and Applications (72 papers) and Vehicle Routing Optimization Methods (65 papers). Yi Mei is often cited by papers focused on Metaheuristic Optimization Algorithms Research (110 papers), Evolutionary Algorithms and Applications (72 papers) and Vehicle Routing Optimization Methods (65 papers). Yi Mei collaborates with scholars based in New Zealand, China and Australia. Yi Mei's co-authors include Mengjie Zhang, Xin Yao, Xiaodong Li, Su Nguyen, Fangfang Zhang, Mohammad Nabi Omidvar, Ke Tang, Ya-Hui Jia, Hui Ma and Bing Xue and has published in prestigious journals such as Nature Communications, Environmental Science & Technology and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Yi Mei

232 papers receiving 6.0k citations

Hit Papers

Cooperative Co-Evolution With Differential Grouping for L... 2013 2026 2017 2021 2013 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi Mei New Zealand 40 3.1k 2.3k 1.6k 809 696 250 6.1k
M. Fatih Tasgetiren Türkiye 36 2.9k 0.9× 3.4k 1.5× 1.5k 0.9× 812 1.0× 322 0.5× 95 6.3k
Yongquan Zhou China 41 3.4k 1.1× 956 0.4× 1.3k 0.8× 577 0.7× 821 1.2× 302 6.2k
Liang Feng China 37 3.7k 1.2× 683 0.3× 3.0k 1.8× 552 0.7× 716 1.0× 161 6.2k
El‐Ghazali Talbi France 30 1.4k 0.5× 1.4k 0.6× 1.0k 0.6× 923 1.1× 295 0.4× 101 3.9k
Wenyin Gong China 49 4.3k 1.4× 1.4k 0.6× 2.5k 1.6× 334 0.4× 1.2k 1.8× 203 7.2k
Ender Özcan United Kingdom 35 2.1k 0.7× 1.9k 0.8× 964 0.6× 561 0.7× 323 0.5× 167 4.7k
Daryl Essam Australia 42 2.3k 0.7× 1.1k 0.5× 1.3k 0.8× 264 0.3× 256 0.4× 197 4.8k
Gary Kochenberger United States 23 1.7k 0.5× 1.6k 0.7× 918 0.6× 694 0.9× 388 0.6× 91 4.3k
Himanshu Jain India 11 3.2k 1.0× 717 0.3× 3.4k 2.1× 354 0.4× 800 1.1× 23 6.8k
Cheng Wu China 38 2.0k 0.6× 1.7k 0.7× 406 0.3× 719 0.9× 593 0.9× 291 5.4k

Countries citing papers authored by Yi Mei

Since Specialization
Citations

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

Fields of papers citing papers by Yi Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Mei

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Mei. A scholar is included among the top collaborators of Yi Mei 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 Yi Mei. Yi Mei 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.
Han, Wei, et al.. (2025). Efficient fog harvesting system inspired by cactus spine and spider silk with vertical crisscross spindle structure. Chemical Engineering Journal. 507. 160747–160747. 9 indexed citations
2.
Wang, Zuankai, et al.. (2025). Bioinspired fibers with alternating wettability and elastic vibration: enhancing water harvesting. Separation and Purification Technology. 370. 133180–133180. 2 indexed citations
3.
Jia, Ya-Hui, et al.. (2025). Multistage Particle Swarm Optimization for Heterogeneous Multipoint Dynamic Aggregation. IEEE Transactions on Systems Man and Cybernetics Systems. 55(7). 4614–4628. 1 indexed citations
4.
Liang, Xinhong, Zhiyuan Gao, Jiashun Liang, et al.. (2025). Single iron site catalysts with increased metal-site loading via a high-temperature imprinting approach for proton exchange membrane fuel cells. Journal of Materials Chemistry A. 13(22). 16850–16859. 1 indexed citations
5.
Li, Mingjuan, et al.. (2024). Improving thermal stability and electrochemical performance of polymer solid electrolyte membranes with a novel TiO2@PA-APP composite additive. Colloids and Surfaces A Physicochemical and Engineering Aspects. 705. 135640–135640. 4 indexed citations
7.
Wang, Xikui, et al.. (2024). Smart Materials and Micro/Nanoarchitectonics for Water Harvesting: From Fundamental Mechanism to Advanced Application. Composites Part A Applied Science and Manufacturing. 184. 108241–108241. 8 indexed citations
8.
Jia, Ya-Hui, et al.. (2024). An evolutionary optimization-learning hybrid algorithm for energy resource management. Swarm and Evolutionary Computation. 92. 101831–101831. 3 indexed citations
9.
Tian, Yuan, Yi Mei, & Mengjie Zhang. (2024). Learning Heuristics via Genetic Programming for Multi-Mode Resource-Constrained Project Scheduling. 1–8. 1 indexed citations
10.
Liu, Jialin, et al.. (2024). Learning from Offline and Online Experiences: A Hybrid Adaptive Operator Selection Framework. Proceedings of the Genetic and Evolutionary Computation Conference. 1017–1025. 2 indexed citations
11.
Guo, Tong, et al.. (2024). Genetic Programming With Multifidelity Surrogates for Large-Scale Dynamic Air Traffic Flow Management. IEEE Transactions on Evolutionary Computation. 29(6). 2671–2685. 1 indexed citations
12.
Mei, Yi, et al.. (2024). Learning Traffic Signal Control via Genetic Programming. Proceedings of the Genetic and Evolutionary Computation Conference. 924–932. 4 indexed citations
13.
Zou, Rongfeng, Yi Mei, Jiawei Li, et al.. (2024). Structural insights into drug transport by an aquaglyceroporin. Nature Communications. 15(1). 3985–3985. 1 indexed citations
14.
Guo, Tong, Yi Mei, Yumeng Li, et al.. (2023). A multi-objective memetic algorithm with adaptive local search for airspace complexity mitigation. Swarm and Evolutionary Computation. 83. 101400–101400. 8 indexed citations
15.
Chen, Lin, Yuhui Xie, Ao Li, et al.. (2023). 3D hierarchical fireproof gel polymer electrolyte towards high-performance and comprehensive safety lithium-ion batteries. Chemical Engineering Journal. 476. 146605–146605. 67 indexed citations
16.
Xu, Meng, Yi Mei, Fangfang Zhang, & Mengjie Zhang. (2022). Genetic programming with diverse partner selection for dynamic flexible job shop scheduling. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 615–618. 6 indexed citations
17.
Mei, Yi, et al.. (2020). Genetic Programming with Delayed Routing for Multiobjective Dynamic Flexible Job Shop Scheduling. Evolutionary Computation. 29(1). 75–105. 41 indexed citations
20.
Al-Sahaf, Harith, Ying Bi, Qi Chen, et al.. (2019). A survey on evolutionary machine learning. Journal of the Royal Society of New Zealand. 49(2). 205–228. 155 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026