Fa-Min Liu

98 total papers · 1.0k total citations
70 papers, 898 citations indexed

About

Fa-Min Liu is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Fa-Min Liu has authored 70 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Materials Chemistry, 22 papers in Electrical and Electronic Engineering and 16 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Fa-Min Liu's work include Gas Sensing Nanomaterials and Sensors (16 papers), ZnO doping and properties (14 papers) and Multiferroics and related materials (10 papers). Fa-Min Liu is often cited by papers focused on Gas Sensing Nanomaterials and Sensors (16 papers), ZnO doping and properties (14 papers) and Multiferroics and related materials (10 papers). Fa-Min Liu collaborates with scholars based in China, Sweden and Hong Kong. Fa-Min Liu's co-authors include Hong‐Jian Feng, Tianmin Wang, Wenwu Zhong, Mei Wang, Guobo Dong, Xungang Diao, Wenjie Deng, Songyu Li, Hang Yu and Yongzhe Zhang and has published in prestigious journals such as Nano Letters, Environmental Science & Technology and The Journal of Physical Chemistry C.

In The Last Decade

Fa-Min Liu

69 papers receiving 856 citations

Author Peers

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

Author						Papers	Cites
Fa-Min Liu	442	411	250	168	95	70	898
Liu Li	291 0.7×	210 0.5×	158 0.6×	182 1.1×	148 1.6×	122	948
Sang-Ho Kim	278 0.6×	208 0.5×	115 0.5×	198 1.2×	161 1.7×	73	881
Run Wang	549 1.2×	713 1.7×	144 0.6×	125 0.7×	78 0.8×	48	939
Han Qin	385 0.9×	189 0.5×	73 0.3×	103 0.6×	117 1.2×	67	747
Dongmei Zhang	672 1.5×	177 0.4×	78 0.3×	82 0.5×	117 1.2×	67	991
Zhi-Wei Zheng	391 0.9×	654 1.6×	117 0.5×	98 0.6×	106 1.1×	104	1.0k
Yunfei Li	333 0.8×	203 0.5×	121 0.5×	129 0.8×	176 1.9×	69	988
Yukai Chen	469 1.1×	424 1.0×	92 0.4×	245 1.5×	191 2.0×	72	1.0k
M.H. Tabacniks	369 0.8×	317 0.8×	100 0.4×	64 0.4×	44 0.5×	88	995
Tao Liu	294 0.7×	244 0.6×	58 0.2×	165 1.0×	141 1.5×	37	793

Countries citing papers authored by Fa-Min Liu

Since Specialization

Citations

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

Fields of papers citing papers by Fa-Min Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fa-Min Liu. 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 Fa-Min Liu. The network helps show where Fa-Min Liu may publish in the future.

Co-authorship network of co-authors of Fa-Min Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Fa-Min Liu. A scholar is included among the top collaborators of Fa-Min Liu 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 Fa-Min Liu. Fa-Min Liu 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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