Feng‐Yun Cui

110 total papers · 839 total citations
47 papers, 724 citations indexed

About

Feng‐Yun Cui is a scholar working on Inorganic Chemistry, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Feng‐Yun Cui has authored 47 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Inorganic Chemistry, 10 papers in Materials Chemistry and 7 papers in Molecular Biology. Recurrent topics in Feng‐Yun Cui's work include Metal-Organic Frameworks: Synthesis and Applications (15 papers), Polyoxometalates: Synthesis and Applications (9 papers) and Magnetism in coordination complexes (5 papers). Feng‐Yun Cui is often cited by papers focused on Metal-Organic Frameworks: Synthesis and Applications (15 papers), Polyoxometalates: Synthesis and Applications (9 papers) and Magnetism in coordination complexes (5 papers). Feng‐Yun Cui collaborates with scholars based in China and United States. Feng‐Yun Cui's co-authors include Changwen Hu, Yingnan Chi, Yanqing Xu, Kun‐Lin Huang, Yuanzhe Gao, Zhangang Han, Xiaoyu Ma, Hongguang Zhu, Shuyang Wang and Zhaohui Zhang and has published in prestigious journals such as Scientific Reports, Inorganic Chemistry and Fuel.

In The Last Decade

Feng‐Yun Cui

43 papers receiving 713 citations

Author Peers

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

Author						Papers	Cites
Feng‐Yun Cui	380	288	140	140	98	47	724
Siping Wang	124 0.3×	153 0.5×	103 0.7×	37 0.3×	52 0.5×	32	659
Wenting An	77 0.2×	335 1.2×	204 1.5×	44 0.3×	73 0.7×	41	704
Haibo Yan	70 0.2×	154 0.5×	292 2.1×	57 0.4×	81 0.8×	66	824
Dacheng Li	243 0.6×	103 0.4×	151 1.1×	83 0.6×	31 0.3×	92	843
Qing Tian	80 0.2×	372 1.3×	166 1.2×	148 1.1×	23 0.2×	56	832
Imola Cs. Szigyártó	73 0.2×	120 0.4×	362 2.6×	51 0.4×	60 0.6×	37	682
Qin Chen	114 0.3×	69 0.2×	156 1.1×	61 0.4×	58 0.6×	27	770
Yi-Xin Chang	32 0.1×	207 0.7×	229 1.6×	146 1.0×	70 0.7×	38	807
Chang Min Kim	104 0.3×	224 0.8×	202 1.4×	27 0.2×	65 0.7×	66	835
Anjos L. Macedo	148 0.4×	109 0.4×	249 1.8×	69 0.5×	25 0.3×	42	803

Countries citing papers authored by Feng‐Yun Cui

Since Specialization

Citations

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

Fields of papers citing papers by Feng‐Yun Cui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng‐Yun Cui. 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 Feng‐Yun Cui. The network helps show where Feng‐Yun Cui may publish in the future.

Co-authorship network of co-authors of Feng‐Yun Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Feng‐Yun Cui. A scholar is included among the top collaborators of Feng‐Yun Cui 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 Feng‐Yun Cui. Feng‐Yun Cui 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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