Shiyan Pan

796 total citations
32 papers, 657 citations indexed

About

Shiyan Pan is a scholar working on Materials Chemistry, Aerospace Engineering and Mechanical Engineering. According to data from OpenAlex, Shiyan Pan has authored 32 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Materials Chemistry, 15 papers in Aerospace Engineering and 13 papers in Mechanical Engineering. Recurrent topics in Shiyan Pan's work include Solidification and crystal growth phenomena (19 papers), Aluminum Alloy Microstructure Properties (15 papers) and Microstructure and Mechanical Properties of Steels (6 papers). Shiyan Pan is often cited by papers focused on Solidification and crystal growth phenomena (19 papers), Aluminum Alloy Microstructure Properties (15 papers) and Microstructure and Mechanical Properties of Steels (6 papers). Shiyan Pan collaborates with scholars based in China, Germany and United States. Shiyan Pan's co-authors include Mingfang Zhu, Dongke Sun, Qingyu Zhang, Dierk Raabe, Markus Rettenmayr, Bruce W. Krakauer, Baode Sun, Xiaoping Shen, Cang Fan and Hui Fang and has published in prestigious journals such as Acta Materialia, Scientific Reports and International Journal of Heat and Mass Transfer.

In The Last Decade

Shiyan Pan

28 papers receiving 628 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shiyan Pan China	15	501	364	333	155	141	32	657
C. P. Hong South Korea	19	655 1.3×	656 1.8×	551 1.7×	126 0.8×	306 2.2×	48	931
Shoumei Xiong China	16	454 0.9×	347 1.0×	367 1.1×	165 1.1×	85 0.6×	36	659
Xianglei Dong China	12	362 0.7×	297 0.8×	297 0.9×	92 0.6×	81 0.6×	41	546
Britta Nestler Germany	10	267 0.5×	146 0.4×	174 0.5×	63 0.4×	112 0.8×	37	461
Miha Založnik France	22	929 1.9×	775 2.1×	939 2.8×	187 1.2×	244 1.7×	69	1.3k
H. C. de Groh United States	11	311 0.6×	210 0.6×	352 1.1×	94 0.6×	40 0.3×	39	494
M. Rappaz Switzerland	8	561 1.1×	494 1.4×	496 1.5×	34 0.2×	166 1.2×	8	728
Kaïs Ammar France	12	369 0.7×	220 0.6×	338 1.0×	16 0.1×	226 1.6×	33	551
M. Ozgu United States	7	312 0.6×	397 1.1×	519 1.6×	72 0.5×	169 1.2×	11	672
Jong-Kyu Yoon South Korea	15	264 0.5×	211 0.6×	462 1.4×	61 0.4×	106 0.8×	28	556

Countries citing papers authored by Shiyan Pan

Since Specialization

Citations

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

Fields of papers citing papers by Shiyan Pan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiyan Pan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Fang, Hui, et al.. (2022). Simulation of the Peritectic Phase Transition in Fe-C Alloys. Materials. 15(2). 537–537. 2 indexed citations

Fang, Hui, et al.. (2020). Cellular automaton modeling of peritectic transformation⋆. The European Physical Journal E. 43(3). 17–17. 3 indexed citations

Fang, Hui, et al.. (2020). Modeling of dendrite arm fragmentation and dendrite arm coarsening⋆. The European Physical Journal E. 43(7). 44–44.

Pan, Shiyan, et al.. (2019). A Gibbs energy balance model for the isothermal ferrite-to-austenite transformation. Scripta Materialia. 178. 207–210. 6 indexed citations

Zhang, Qingyu, et al.. (2019). Dendrite Coarsening and Secondary Arm Migration in the Mushy Zone During Directional Solidification. Acta Metallurgica Sinica. 55(5). 664–672. 3 indexed citations

Zhang, Qingyu, et al.. (2019). Cellular automaton simulation of molten pool migration due to temperature gradient zone melting. Acta Physica Sinica. 68(4). 48102–48102. 3 indexed citations

Pan, Shiyan & Mingfang Zhu. (2019). Growth of homogeneous mixed A1-xBx bulk crystals: Analytical prediction, phase-field modeling and experiment comparison. Materialia. 5. 100247–100247.

Zhang, Qingyu, Dongke Sun, Shiyan Pan, & Mingfang Zhu. (2019). Microporosity formation and dendrite growth during solidification of aluminum alloys: Modeling and experiment. International Journal of Heat and Mass Transfer. 146. 118838–118838. 58 indexed citations

Chen, Shuanglin, et al.. (2019). A cellular automaton model integrated with CALPHAD-based thermodynamic calculations for ferrite-austenite phase transformations in multicomponent alloys. Computational Materials Science. 166. 210–220. 12 indexed citations

10.

Zhu, Mingfang, et al.. (2018). Progresses in Dendrite Coarsening During Solidification of Alloys. Acta Metallurgica Sinica. 54(5). 789–800. 3 indexed citations

11.

Zhang, Qingyu, et al.. (2018). Modeling of melting and resolidification of equiaxed microstructures in a temperature gradient. Scripta Materialia. 151. 28–32. 11 indexed citations

12.

Zhang, Qingyu, et al.. (2017). Interaction of local solidification and remelting during dendrite coarsening - modeling and comparison with experiments. Scientific Reports. 7(1). 17809–17809. 20 indexed citations

13.

Pan, Shiyan & Mingfang Zhu. (2017). Peritectic transformation with non-linear solute distribution in all three phases: Analytical solution, phase-field modeling and experiment comparison. Acta Materialia. 146. 63–75. 14 indexed citations

14.

Pan, Shiyan, Mingfang Zhu, & Markus Rettenmayr. (2017). A phase-field study on the peritectic phase transition in Fe-C alloys. Acta Materialia. 132. 565–575. 30 indexed citations

15.

Zhu, Mingfang, et al.. (2016). CELLULAR AUTOMATON MODELING OF MICRO-STRUCTURE EVOLUTION DURING ALLOY SOLIDIFICATION. Acta Metallurgica Sinica. 52(10). 1297–1310. 7 indexed citations

16.

Zhao, Jingfeng, Akihisa Inoue, C.T. Liu, et al.. (2016). Structural evolution and energy landscape of the clusters in Zr 55 Cu 35 Al 10 metallic liquid and glass. Scripta Materialia. 117. 64–67. 14 indexed citations

17.

Zhu, Mingfang, Dongke Sun, Shiyan Pan, Qingyu Zhang, & Dierk Raabe. (2014). Modelling of dendritic growth during alloy solidification under natural convection. Modelling and Simulation in Materials Science and Engineering. 22(3). 34006–34006. 18 indexed citations

18.

Zhu, Mingfang, Shiyan Pan, Dongke Sun, & Honglei Zhao. (2010). Numerical Simulation of Microstructure Evolution During Alloy Solidification by Using Cellular Automaton Method. ISIJ International. 50(12). 1851–1858. 18 indexed citations

19.

Pan, Shiyan & Mingfang Zhu. (2009). A three-dimensional sharp interface model for the quantitative simulation of solutal dendritic growth. Acta Materialia. 58(1). 340–352. 128 indexed citations

20.

Shao, Mingwang, et al.. (2007). Synthesis and electrochemical application of carbon nanotubes obtained from hexachloroethane. Journal of Materials Science. 42(16). 6961–6964. 1 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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