Wen-Qiang Fu

25 total papers · 721 total citations
20 papers, 622 citations indexed

About

Wen-Qiang Fu is a scholar working on Materials Chemistry, Inorganic Chemistry and Biomaterials. According to data from OpenAlex, Wen-Qiang Fu has authored 20 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Materials Chemistry, 8 papers in Inorganic Chemistry and 6 papers in Biomaterials. Recurrent topics in Wen-Qiang Fu's work include Metal-Organic Frameworks: Synthesis and Applications (8 papers), Supramolecular Self-Assembly in Materials (6 papers) and DNA and Nucleic Acid Chemistry (4 papers). Wen-Qiang Fu is often cited by papers focused on Metal-Organic Frameworks: Synthesis and Applications (8 papers), Supramolecular Self-Assembly in Materials (6 papers) and DNA and Nucleic Acid Chemistry (4 papers). Wen-Qiang Fu collaborates with scholars based in China, Germany and Hong Kong. Wen-Qiang Fu's co-authors include Jian Zhang, Zhi‐Gang Gu, Fei Wang, Zheng Chen, Shumei Chen, Min Liu, Xin Wu, Lei Zhang, Qingdong Zheng and Christof Wöll and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and ACS Nano.

In The Last Decade

Wen-Qiang Fu

20 papers receiving 610 citations

Author Peers

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

Author						Papers	Cites
Wen-Qiang Fu	405	345	206	77	71	20	622
Jiaxing Zhu	332 0.8×	278 0.8×	193 0.9×	42 0.5×	67 0.9×	31	579
Jonas Wohlgemuth	421 1.0×	437 1.3×	178 0.9×	86 1.1×	43 0.6×	21	743
Yongnan Zhao	406 1.0×	345 1.0×	193 0.9×	103 1.3×	50 0.7×	28	606
A. Lisa Semrau	335 0.8×	358 1.0×	161 0.8×	68 0.9×	167 2.4×	15	576
Abhinav Chandresh	398 1.0×	351 1.0×	238 1.2×	67 0.9×	48 0.7×	26	694
Saptasree Bose	433 1.1×	214 0.6×	195 0.9×	127 1.6×	115 1.6×	31	652
Xiaoliang Si	596 1.5×	417 1.2×	128 0.6×	64 0.8×	55 0.8×	25	785
Jen Twu	494 1.2×	302 0.9×	103 0.5×	146 1.9×	66 0.9×	19	672
Norah Alsadun	365 0.9×	410 1.2×	102 0.5×	72 0.9×	156 2.2×	18	714
Michael F. Thorne	387 1.0×	313 0.9×	120 0.6×	86 1.1×	22 0.3×	18	574

Countries citing papers authored by Wen-Qiang Fu

Since Specialization

Citations

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

Fields of papers citing papers by Wen-Qiang Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen-Qiang Fu

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