Yuyan Han

5.1k total citations · 1 hit paper
136 papers, 3.9k citations indexed

About

Yuyan Han is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Yuyan Han has authored 136 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Industrial and Manufacturing Engineering, 19 papers in Artificial Intelligence and 18 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Yuyan Han's work include Scheduling and Optimization Algorithms (87 papers), Advanced Manufacturing and Logistics Optimization (79 papers) and Assembly Line Balancing Optimization (37 papers). Yuyan Han is often cited by papers focused on Scheduling and Optimization Algorithms (87 papers), Advanced Manufacturing and Logistics Optimization (79 papers) and Assembly Line Balancing Optimization (37 papers). Yuyan Han collaborates with scholars based in China, Macao and Japan. Yuyan Han's co-authors include Quan-Ke Pan, Junqing Li, Hongyan Sang, Dunwei Gong, Kaizhou Gao, Yiping Liu, Junqing Li, Peiyong Duan, Zhiguang Cao and Le Zhang and has published in prestigious journals such as Physical Review Letters, Advanced Materials and SHILAP Revista de lepidopterología.

In The Last Decade

Yuyan Han

123 papers receiving 3.8k citations

Hit Papers

A review on swarm intelli... 2019 2026 2021 2023 2019 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yuyan Han 2.8k 808 457 425 394 136 3.9k
Deming Lei 2.9k 1.1× 865 1.1× 508 1.1× 263 0.6× 377 1.0× 123 3.5k
Manuel López‐Ibáñez 903 0.3× 1.5k 1.8× 251 0.5× 1.2k 2.7× 257 0.7× 84 3.0k
William J. Cook 1.5k 0.6× 793 1.0× 180 0.4× 1.1k 2.6× 751 1.9× 78 3.4k
Chengen Wang 991 0.4× 181 0.2× 203 0.4× 186 0.4× 437 1.1× 123 2.7k
Paul C. Gilmore 3.3k 1.2× 407 0.5× 168 0.4× 640 1.5× 741 1.9× 49 4.4k
Dragan Urošević 1.1k 0.4× 367 0.5× 143 0.3× 153 0.4× 228 0.6× 86 1.6k
Biagio Turchiano 751 0.3× 166 0.2× 877 1.9× 486 1.1× 363 0.9× 114 2.4k
Peiyong Duan 1.3k 0.5× 494 0.6× 690 1.5× 298 0.7× 494 1.3× 79 2.5k
David Naso 421 0.2× 492 0.6× 1.1k 2.4× 273 0.6× 384 1.0× 171 3.4k
El‐Ghazali Talbi 531 0.2× 697 0.9× 170 0.4× 427 1.0× 297 0.8× 36 1.8k

Countries citing papers authored by Yuyan Han

Since Specialization
Citations

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

Fields of papers citing papers by Yuyan Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuyan Han

This figure shows the co-authorship network connecting the top 25 collaborators of Yuyan Han. A scholar is included among the top collaborators of Yuyan Han 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 Yuyan Han. Yuyan Han 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
2.
Wang, Yuting, et al.. (2025). Q-Learning-Driven Accelerated Iterated Greedy Algorithm for Multi-Scenario Group Scheduling in Distributed Blocking Flowshops. Knowledge-Based Systems. 317. 113424–113424. 4 indexed citations
3.
Liu, Yiping, Ling Zhang, Xiangxiang Zeng, & Yuyan Han. (2024). Evolutionary multimodal multiobjective optimization guided by growing neural gas. Swarm and Evolutionary Computation. 86. 101500–101500. 11 indexed citations
4.
Sang, Hongyan, et al.. (2024). An effective multi-restart iterated greedy algorithm for multi-AGVs dispatching problem in the matrix manufacturing workshop. Expert Systems with Applications. 252. 124223–124223. 9 indexed citations
5.
Wang, Yuting, et al.. (2024). Theoretical analysis and implementation of mandatory operations-based accelerated search in graph space for hybrid flow shop scheduling. Expert Systems with Applications. 257. 125026–125026. 4 indexed citations
6.
Li, Hang, et al.. (2024). Proximity-induced ferromagnetism of platinum thin film on magnetic insulating CrI3 nanoflakes. Applied Surface Science. 680. 161394–161394. 1 indexed citations
9.
Wang, Yuting, Yuyan Han, Huan Li, Quan-Ke Pan, & Dunwei Gong. (2024). Theoretical analysis and methods of rapid evaluation: Solving the blocking flowshop group scheduling problem with the total flow time and total tardiness time criteria. Swarm and Evolutionary Computation. 88. 101604–101604. 3 indexed citations
10.
Meng, Leilei, Peng Duan, Kaizhou Gao, et al.. (2023). MIP modeling of energy-conscious FJSP and its extended problems:From simplicity to complexity. Expert Systems with Applications. 241. 122594–122594. 12 indexed citations
11.
Sang, Hongyan, Junqing Li, Yuyan Han, et al.. (2023). Invasive weed optimization for multi-AGVs dispatching problem in a matrix manufacturing workshop. Swarm and Evolutionary Computation. 77. 101227–101227. 17 indexed citations
12.
Wang, Yuting, et al.. (2023). Redefining hybrid flow shop group scheduling: Unveiling a novel hybrid modeling paradigm and assessing 48 MILP and CP models. Swarm and Evolutionary Computation. 83. 101416–101416. 10 indexed citations
13.
Sang, Hongyan, et al.. (2023). An effective fruit fly optimization algorithm for the distributed permutation flowshop scheduling problem with total flowtime. Engineering Applications of Artificial Intelligence. 123. 106347–106347. 24 indexed citations
14.
Wei, Wensen, Lin Zu, Yuyan Han, et al.. (2023). Near mean-field critical behavior in magnetic antiskyrmion host Mn2Rh0.95Ir0.05Sn. Journal of Alloys and Compounds. 945. 169299–169299.
15.
Li, Huijie, Huanhuan Wang, Wenshuai Gao, et al.. (2021). Thickness Dependence of Superconductivity in Layered Topological Superconductor β-PdBi2. Nanomaterials. 11(11). 2826–2826. 10 indexed citations
16.
Wang, Huanhuan, Xiangde Zhu, Zheng Chen, et al.. (2021). Weak localization and electron-phonon interaction in layered Zintl phase SrIn 2 P 2 single crystal. Journal of Physics Condensed Matter. 33(24). 245701–245701. 2 indexed citations
17.
Tian, Zhaoming, Malik Ashtar, Zhengcai Xia, et al.. (2020). A comparative study on magnetic order and field-induced magnetic transition in double perovskite iridates: RE 2 ZnIrO 6 and RE 2 MgIrO 6 (RE = Pr, Nd, Sm, Eu, Gd). Journal of Physics Condensed Matter. 32(46). 465802–465802. 1 indexed citations
18.
Han, Yuyan, et al.. (2020). Magnetic properties of La 0.7 Sr 0.3 MnO 3 under the pressure and the transport property under the magnetic field. Journal of the American Ceramic Society. 104(2). 955–965. 5 indexed citations
19.
Sang, Hongyan, et al.. (2020). Improved Migrating Birds Optimization Algorithm to Solve Hybrid Flowshop Scheduling Problem With Lot-Streaming. IEEE Access. 8. 89782–89792. 14 indexed citations
20.
Han, Yuyan, et al.. (1970). Multiobjective Optimum Design Of Structures. WIT transactions on the built environment. 14. 2 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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