Chun‐Yan Ni

85 total papers · 1.0k total citations
37 papers, 879 citations indexed

About

Chun‐Yan Ni is a scholar working on Materials Chemistry, Inorganic Chemistry and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Chun‐Yan Ni has authored 37 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 12 papers in Inorganic Chemistry and 11 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Chun‐Yan Ni's work include Metal-Organic Frameworks: Synthesis and Applications (9 papers), Magnetism in coordination complexes (7 papers) and COVID-19 and Mental Health (5 papers). Chun‐Yan Ni is often cited by papers focused on Metal-Organic Frameworks: Synthesis and Applications (9 papers), Magnetism in coordination complexes (7 papers) and COVID-19 and Mental Health (5 papers). Chun‐Yan Ni collaborates with scholars based in China, Singapore and France. Chun‐Yan Ni's co-authors include Jian‐Ping Lang, Zhi‐Gang Ren, Tianya Hou, Guanghui Deng, Wenpeng Cai, Xiangrui Song, Taiquan Zhang, Aibin Chen, Ming Dai and Hong‐Xi Li and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Chun‐Yan Ni

34 papers receiving 870 citations

Author Peers

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

Author						Papers	Cites
Chun‐Yan Ni	331	331	214	194	120	37	879
Nicholas Taylor	170 0.5×	230 0.7×	103 0.5×	70 0.4×	141 1.2×	84	1.0k
James E. Sutton	208 0.6×	95 0.3×	157 0.7×	84 0.4×	56 0.5×	26	712
E. Koch	219 0.7×	101 0.3×	67 0.3×	169 0.9×	81 0.7×	61	732
Michelle Young	196 0.6×	93 0.3×	127 0.6×	96 0.5×	53 0.4×	39	1.0k
Yan‐Jie Qi	624 1.9×	590 1.8×	127 0.6×	92 0.5×	9 0.1×	58	1.0k
Brian Fitzgerald	121 0.4×	94 0.3×	143 0.7×	74 0.4×	33 0.3×	40	809
D.K. Henderson	374 1.1×	467 1.4×	385 1.8×	27 0.1×	32 0.3×	21	870
Norbert Buzás	257 0.8×	105 0.3×	52 0.2×	32 0.2×	37 0.3×	47	729
Bing Wang	324 1.0×	85 0.3×	35 0.2×	40 0.2×	27 0.2×	28	926
Martin Payne	70 0.2×	71 0.2×	43 0.2×	79 0.4×	18 0.1×	36	1.0k

Countries citing papers authored by Chun‐Yan Ni

Since Specialization

Citations

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

Fields of papers citing papers by Chun‐Yan Ni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chun‐Yan Ni

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