Xiang Fu

44 total papers · 1.0k total citations
33 papers, 864 citations indexed

About

Xiang Fu is a scholar working on Biomedical Engineering, Polymers and Plastics and Materials Chemistry. According to data from OpenAlex, Xiang Fu has authored 33 papers receiving a total of 864 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Biomedical Engineering, 12 papers in Polymers and Plastics and 7 papers in Materials Chemistry. Recurrent topics in Xiang Fu's work include Advanced Sensor and Energy Harvesting Materials (13 papers), Conducting polymers and applications (6 papers) and Tactile and Sensory Interactions (5 papers). Xiang Fu is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (13 papers), Conducting polymers and applications (6 papers) and Tactile and Sensory Interactions (5 papers). Xiang Fu collaborates with scholars based in China, United States and New Zealand. Xiang Fu's co-authors include Yaofeng Zhu, Rujun Ma, Qing‐Qing Ni, Wen He, Yaqin Fu, Yancheng Wang, Ahmed M. Al‐Jumaily, Maximiano Ramos, Ding Zhang and Xiyong Huang and has published in prestigious journals such as Journal of the American Chemical Society, Nano Letters and Advanced Energy Materials.

In The Last Decade

Xiang Fu

30 papers receiving 847 citations

Author Peers

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

Author						Papers	Cites
Xiang Fu	478	406	209	180	146	33	864
Dengwen Hu	428 0.9×	251 0.6×	241 1.2×	291 1.6×	142 1.0×	36	890
Jianpeng Wu	466 1.0×	285 0.7×	170 0.8×	171 0.9×	147 1.0×	39	845
Azadeh Mirabedini	444 0.9×	279 0.7×	237 1.1×	188 1.0×	124 0.8×	26	842
Junshuo Zhang	483 1.0×	419 1.0×	194 0.9×	241 1.3×	97 0.7×	50	1.0k
Zhi Yang	663 1.4×	431 1.1×	174 0.8×	155 0.9×	194 1.3×	37	1.0k
Wenkai Chang	387 0.8×	216 0.5×	200 1.0×	148 0.8×	130 0.9×	33	742
Weizhen Li	359 0.8×	286 0.7×	324 1.6×	210 1.2×	132 0.9×	52	881
Xiaolong Zhang	655 1.4×	493 1.2×	127 0.6×	222 1.2×	144 1.0×	37	976
Yanlong Tai	610 1.3×	292 0.7×	210 1.0×	160 0.9×	377 2.6×	35	960
Liqun Zhang	537 1.1×	609 1.5×	159 0.8×	152 0.8×	103 0.7×	33	946

Countries citing papers authored by Xiang Fu

Since Specialization

Citations

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

Fields of papers citing papers by Xiang Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiang Fu

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