Xin Yan

159 total papers · 1.2k total citations
117 papers, 944 citations indexed

About

Xin Yan is a scholar working on Mechanical Engineering, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Xin Yan has authored 117 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Mechanical Engineering, 56 papers in Aerospace Engineering and 33 papers in Computational Mechanics. Recurrent topics in Xin Yan's work include Tribology and Lubrication Engineering (48 papers), Heat Transfer Mechanisms (42 papers) and Turbomachinery Performance and Optimization (37 papers). Xin Yan is often cited by papers focused on Tribology and Lubrication Engineering (48 papers), Heat Transfer Mechanisms (42 papers) and Turbomachinery Performance and Optimization (37 papers). Xin Yan collaborates with scholars based in China, United States and Japan. Xin Yan's co-authors include Jun Li, Kun He, Zhenping Feng, Zhigang Li, Yan Huang, Mingliang Ye, Zhengtao Yu, Yaoxing Chen, Liming Song and Yan Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Heat and Mass Transfer and Applied Thermal Engineering.

In The Last Decade

Xin Yan

105 papers receiving 923 citations

Author Peers

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

Author						Papers	Cites
Xin Yan	749	475	271	89	81	117	944
WU Ya	335 0.4×	374 0.8×	258 1.0×	25 0.3×	30 0.4×	132	846
Liang Zhang	347 0.5×	176 0.4×	257 0.9×	212 2.4×	392 4.8×	112	1.1k
Ning Zhou	715 1.0×	172 0.4×	72 0.3×	266 3.0×	283 3.5×	86	1.2k
Leshi Shu	444 0.6×	72 0.2×	103 0.4×	100 1.1×	50 0.6×	63	1.1k
Hongxing Wei	394 0.5×	144 0.3×	41 0.2×	91 1.0×	268 3.3×	111	1.0k
Yan Ren	538 0.7×	118 0.2×	142 0.5×	129 1.4×	266 3.3×	68	815
Beom-Seon Jang	379 0.5×	111 0.2×	209 0.8×	235 2.6×	79 1.0×	95	912
Emmanuel Bénard	191 0.3×	442 0.9×	288 1.1×	42 0.5×	64 0.8×	118	873
Lap Mou Tam	609 0.8×	156 0.3×	167 0.6×	96 1.1×	92 1.1×	83	1.0k
Kamal Kumar	382 0.5×	152 0.3×	70 0.3×	319 3.6×	14 0.2×	89	1.1k

Countries citing papers authored by Xin Yan

Since Specialization

Citations

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

Fields of papers citing papers by Xin Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Yan

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

All Works

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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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