Y. Lan

2.5k total citations · 1 hit paper
27 papers, 553 citations indexed

About

Y. Lan is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Nuclear and High Energy Physics. According to data from OpenAlex, Y. Lan has authored 27 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 5 papers in Atomic and Molecular Physics, and Optics and 5 papers in Nuclear and High Energy Physics. Recurrent topics in Y. Lan's work include Atomic and Subatomic Physics Research (3 papers), Neutrino Physics Research (3 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). Y. Lan is often cited by papers focused on Atomic and Subatomic Physics Research (3 papers), Neutrino Physics Research (3 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). Y. Lan collaborates with scholars based in China, Canada and United Kingdom. Y. Lan's co-authors include Zhihua Cui, Zhixia Zhang, Jie Wen, Jianghui Cai, Wensheng Zhang, Savas Konur, Dhavalkumar Thakker, Daniel Neagu, Xingjuan Cai and Wensheng Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and The Journal of the Acoustical Society of America.

In The Last Decade

Y. Lan

23 papers receiving 535 citations

Hit Papers

A survey on federated learning: challenges and applications 2022 2026 2023 2024 2022 100 200 300
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.

  1. A survey on federated learning: challenges and applications
    2022 304 citations Jie Wen, Zhixia Zhang et al. International Journal of Machine Learning and Cybernetics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Y. Lan China 9 276 80 78 75 38 27 553
Songnian Zhang Canada 13 328 1.2× 106 1.3× 107 1.4× 121 1.6× 38 1.0× 69 529
Mahdi Nasiri Iran 13 267 1.0× 31 0.4× 141 1.8× 236 3.1× 24 0.6× 32 671
Yutao Huang China 8 488 1.8× 180 2.3× 97 1.2× 112 1.5× 31 0.8× 14 689
Yuan Cao China 14 158 0.6× 174 2.2× 101 1.3× 70 0.9× 34 0.9× 89 641
Mustapha Hedabou Morocco 12 200 0.7× 236 3.0× 102 1.3× 228 3.0× 13 0.3× 40 554
S. Vikram Singh India 14 121 0.4× 95 1.2× 54 0.7× 66 0.9× 13 0.3× 22 439
Gilad Katz Israel 14 324 1.2× 103 1.3× 155 2.0× 145 1.9× 21 0.6× 55 650
Jianjun Zhang China 12 149 0.5× 127 1.6× 68 0.9× 69 0.9× 18 0.5× 60 526
Abhimanyu Das United States 14 175 0.6× 147 1.8× 77 1.0× 38 0.5× 55 1.4× 35 695

Countries citing papers authored by Y. Lan

Since Specialization
Citations

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

Fields of papers citing papers by Y. Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. Lan

This figure shows the co-authorship network connecting the top 25 collaborators of Y. Lan. A scholar is included among the top collaborators of Y. Lan 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 Y. Lan. Y. Lan 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.
Wang, Lu, Yan Zhao, Hao Zhang, et al.. (2025). Carbon nanotubes grafted conductive polymer constructs robust multi-scale conductive pathways for high-performance anodes. Energy storage materials. 78. 104255–104255. 3 indexed citations
2.
Lan, Y., et al.. (2025). Integration of work exchange network within distillation process optimization. Separation and Purification Technology. 362. 131552–131552.
3.
Zeng, Jun, Guo Chen, Zhaoyao Zhan, et al.. (2025). Modulating interphasial chemistry through PEI/PI separator coating for thermally robust high-voltage batteries. SHILAP Revista de lepidopterología. 3(4). 9370077–9370077.
4.
Wang, Xiaoyue, et al.. (2025). The Layout Optimization of low-impact Development Facilities is Based on a Multi-Objective Genetic Algorithm and the SWMM Model. Water Resources Management. 39(7). 2993–3014. 1 indexed citations
5.
Chen, Tao, et al.. (2024). Flow field design and parameter optimization of PEMFC based on leaf vein structure. Renewable Energy. 241. 122317–122317. 14 indexed citations
6.
Murray, K., Y. Lan, C. Chambers, et al.. (2023). ‘Searching for a needle in a haystack;’ A Ba-tagging approach for an upgraded nEXO experiment. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 541. 298–300.
7.
Wen, Jie, Zhixia Zhang, Y. Lan, et al.. (2022). A survey on federated learning: challenges and applications. International Journal of Machine Learning and Cybernetics. 14(2). 513–535. 304 indexed citations breakdown →
8.
Cui, Zhihua, Jie Wen, Y. Lan, Zhixia Zhang, & Jianghui Cai. (2022). Communication-efficient federated recommendation model based on many-objective evolutionary algorithm. Expert Systems with Applications. 201. 116963–116963. 21 indexed citations
9.
Lan, Y., et al.. (2022). A many-objective evolutionary algorithm based on integrated strategy for skin cancer detection. KSII Transactions on Internet and Information Systems. 16(1). 6 indexed citations
10.
11.
Cai, Xingjuan, Y. Lan, Zhixia Zhang, et al.. (2021). A Many-Objective Optimization Based Federal Deep Generation Model for Enhancing Data Processing Capability in IoT. IEEE Transactions on Industrial Informatics. 19(1). 561–569. 40 indexed citations
12.
Konur, Savas, et al.. (2021). Towards design and implementation of Industry 4.0 for food manufacturing. Neural Computing and Applications. 35(33). 23753–23765. 52 indexed citations
13.
Lan, Y., et al.. (2021). A Many-objective Particle Swarm Optimization Algorithm Based on Multiple Criteria for Hybrid Recommendation System. KSII Transactions on Internet and Information Systems. 15(2). 3 indexed citations
14.
Murray, K., J. Dilling, R. Gornea, et al.. (2019). Design of a multiple-reflection time-of-flight mass spectrometer for barium-tagging. Hyperfine Interactions. 240(1). 6 indexed citations
15.
Lan, Y., et al.. (2017). Towards a Predictive Analytics-Based Intelligent Malaria Outbreak Warning System. Applied Sciences. 7(8). 836–836. 24 indexed citations
16.
Waltham, Chris, et al.. (2016). An acoustical study of the qin. The Journal of the Acoustical Society of America. 139(4). 1592–1600. 2 indexed citations
17.
18.
Deng, Ke, H. Che, Y. Lan, et al.. (2015). Design of blade-shaped-electrode linear ion traps with reduced anharmonic contributions. Journal of Applied Physics. 118(11). 7 indexed citations
19.
Lan, Y.. (2008). Measuring Ionic Liquids Content in Water by UV-Vis Spectra. Chinese Journal of Spectroscopy Laboratory. 7 indexed citations
20.
Lan, Y. & Daniel Neagu. (2007). A new time series prediction algorithm based on moving average of nth-order difference. 248–253. 18 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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