Liang Fu

41 total papers · 465 total citations
26 papers, 300 citations indexed

About

Liang Fu is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Condensed Matter Physics. According to data from OpenAlex, Liang Fu has authored 26 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Materials Chemistry, 13 papers in Atomic and Molecular Physics, and Optics and 10 papers in Condensed Matter Physics. Recurrent topics in Liang Fu's work include Physics of Superconductivity and Magnetism (9 papers), Electronic and Structural Properties of Oxides (9 papers) and Topological Materials and Phenomena (8 papers). Liang Fu is often cited by papers focused on Physics of Superconductivity and Magnetism (9 papers), Electronic and Structural Properties of Oxides (9 papers) and Topological Materials and Phenomena (8 papers). Liang Fu collaborates with scholars based in United States, Germany and United Kingdom. Liang Fu's co-authors include Nigel D. Browning, T. Venkatesan, Wegdan Ramadan, S. Dhar, Satishchandra Ogale, D. C. Kundaliya, Darshan C. Kundaliya, Yang Ren, Peter K. Liaw and Yandong Wang and has published in prestigious journals such as Science, Physical Review Letters and Nature Communications.

In The Last Decade

Liang Fu

20 papers receiving 295 citations

Author Peers

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

Author						Papers	Cites
Liang Fu	239	121	70	56	52	26	300
A. Boudali	263 1.1×	164 1.4×	100 1.4×	54 1.0×	34 0.7×	35	337
Junjie Shen	270 1.1×	101 0.8×	97 1.4×	26 0.5×	99 1.9×	30	363
Nathalie Caillault	255 1.1×	108 0.9×	61 0.9×	38 0.7×	16 0.3×	16	329
O. Yıldırım	215 0.9×	185 1.5×	73 1.0×	50 0.9×	115 2.2×	36	354
Guo‐Jiun Shu	139 0.6×	71 0.6×	81 1.2×	63 1.1×	79 1.5×	35	288
Jyoti Thakur	272 1.1×	200 1.7×	93 1.3×	19 0.3×	78 1.5×	33	346
Li Yue	145 0.6×	127 1.0×	63 0.9×	93 1.7×	106 2.0×	30	283
J. Kasiuk	242 1.0×	135 1.1×	88 1.3×	36 0.6×	115 2.2×	32	343
Yunlong Jin	193 0.8×	267 2.2×	42 0.6×	35 0.6×	98 1.9×	28	354
Huiyun Zhang	209 0.9×	164 1.4×	77 1.1×	27 0.5×	99 1.9×	20	342

Countries citing papers authored by Liang Fu

Since Specialization

Citations

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

Fields of papers citing papers by Liang Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Fu

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