Yan Shan

40 total papers · 819 total citations
32 papers, 707 citations indexed

About

Yan Shan is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment and Biomedical Engineering. According to data from OpenAlex, Yan Shan has authored 32 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Materials Chemistry, 10 papers in Renewable Energy, Sustainability and the Environment and 10 papers in Biomedical Engineering. Recurrent topics in Yan Shan's work include Quantum Dots Synthesis And Properties (7 papers), Graphene research and applications (5 papers) and Carbon Nanotubes in Composites (5 papers). Yan Shan is often cited by papers focused on Quantum Dots Synthesis And Properties (7 papers), Graphene research and applications (5 papers) and Carbon Nanotubes in Composites (5 papers). Yan Shan collaborates with scholars based in China, United States and Italy. Yan Shan's co-authors include Lian Gao, Kezheng Chen, Xuegang Yu, Jiaqi Wan, Xiaodong Han, Guicun Li, Shan Zheng, Baolong Zhang, Kezheng Chen and Wengang Liu and has published in prestigious journals such as Chemistry of Materials, Journal of Materials Chemistry and International Journal of Hydrogen Energy.

In The Last Decade

Yan Shan

31 papers receiving 687 citations

Author Peers

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

Author						Papers	Cites
Yan Shan	411	210	187	172	144	32	707
Dandan Zhang	239 0.6×	265 1.3×	255 1.4×	182 1.1×	154 1.1×	32	672
Jingdong Feng	357 0.9×	202 1.0×	226 1.2×	116 0.7×	133 0.9×	53	735
Baojun Yang	490 1.2×	296 1.4×	121 0.6×	199 1.2×	139 1.0×	31	816
Hongliang Zhu	546 1.3×	326 1.6×	128 0.7×	150 0.9×	142 1.0×	43	846
Felipe Castillón-Barraza	400 1.0×	135 0.6×	187 1.0×	111 0.6×	255 1.8×	31	740
Haryeong Choi	346 0.8×	258 1.2×	156 0.8×	188 1.1×	103 0.7×	43	789
Wegdan Ramadan	511 1.2×	227 1.1×	281 1.5×	267 1.6×	175 1.2×	31	877
Qingnan Meng	320 0.8×	158 0.8×	172 0.9×	255 1.5×	144 1.0×	43	671
Musa Mutlu Can	508 1.2×	251 1.2×	204 1.1×	193 1.1×	149 1.0×	46	729
Varsha D. Phadtare	385 0.9×	179 0.9×	312 1.7×	170 1.0×	140 1.0×	34	809

Countries citing papers authored by Yan Shan

Since Specialization

Citations

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

Fields of papers citing papers by Yan Shan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Shan

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Shan. A scholar is included among the top collaborators of Yan Shan 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 Yan Shan. Yan Shan 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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