Minxia Fang

57 total papers · 769 total citations
44 papers, 611 citations indexed

About

Minxia Fang is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Biomedical Engineering. According to data from OpenAlex, Minxia Fang has authored 44 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Materials Chemistry, 33 papers in Electronic, Optical and Magnetic Materials and 12 papers in Biomedical Engineering. Recurrent topics in Minxia Fang's work include Ferroelectric and Piezoelectric Materials (17 papers), Shape Memory Alloy Transformations (15 papers) and Multiferroics and related materials (14 papers). Minxia Fang is often cited by papers focused on Ferroelectric and Piezoelectric Materials (17 papers), Shape Memory Alloy Transformations (15 papers) and Multiferroics and related materials (14 papers). Minxia Fang collaborates with scholars based in China, Japan and United States. Minxia Fang's co-authors include Xiaobing Ren, Yuanchao Ji, Shuai Ren, Yanshuang Hao, Jinghui Gao, Le Zhang, Zhijian Zhou, Zhonghua Dai, Dong Wang and Yang Yang and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Minxia Fang

38 papers receiving 603 citations

Author Peers

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

Author						Papers	Cites
Minxia Fang	514	383	271	194	62	44	611
Fei Xue	535 1.0×	387 1.0×	181 0.7×	157 0.8×	35 0.6×	51	673
Cheng‐Che Tsai	444 0.9×	179 0.5×	356 1.3×	331 1.7×	38 0.6×	62	592
Jinyang Liu	488 0.9×	225 0.6×	124 0.5×	290 1.5×	45 0.7×	38	640
F. Guerrero	520 1.0×	260 0.7×	157 0.6×	345 1.8×	50 0.8×	63	635
Sung-Gap Lee	493 1.0×	308 0.8×	197 0.7×	427 2.2×	27 0.4×	79	666
Fábio L. Zabotto	554 1.1×	390 1.0×	124 0.5×	243 1.3×	22 0.4×	62	615
P. Ramos	599 1.2×	339 0.9×	294 1.1×	242 1.2×	13 0.2×	39	643
Hongzhou Song	604 1.2×	198 0.5×	175 0.6×	295 1.5×	21 0.3×	46	697
Xuezheng Ruan	540 1.1×	227 0.6×	214 0.8×	320 1.6×	21 0.3×	34	595
I. Boerasu	487 0.9×	211 0.6×	226 0.8×	226 1.2×	69 1.1×	36	625

Countries citing papers authored by Minxia Fang

Since Specialization

Citations

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

Fields of papers citing papers by Minxia Fang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minxia Fang

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