Qinke Wu

40 total papers · 688 total citations
30 papers, 515 citations indexed

About

Qinke Wu is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Qinke Wu has authored 30 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Materials Chemistry, 12 papers in Electrical and Electronic Engineering and 6 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Qinke Wu's work include 2D Materials and Applications (24 papers), Graphene research and applications (17 papers) and MXene and MAX Phase Materials (11 papers). Qinke Wu is often cited by papers focused on 2D Materials and Applications (24 papers), Graphene research and applications (17 papers) and MXene and MAX Phase Materials (11 papers). Qinke Wu collaborates with scholars based in China, South Korea and United Kingdom. Qinke Wu's co-authors include Young Jae Song, Bilu Liu, Sungjoo Lee, Sangwoo Park, Young Hee Lee, Hwansoo Suh, Jingwei Wang, Junyang Tan, Ji Hoon Park and Winadda Wongwiriyapan and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Qinke Wu

30 papers receiving 505 citations

Author Peers

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

Author						Papers	Cites
Qinke Wu	428	189	96	62	60	30	515
Jian Chai	413 1.0×	206 1.1×	115 1.2×	71 1.1×	76 1.3×	39	534
Debjit Ghoshal	354 0.8×	190 1.0×	69 0.7×	68 1.1×	72 1.2×	20	461
Yeageun Lee	389 0.9×	238 1.3×	111 1.2×	61 1.0×	86 1.4×	24	491
Peng Gao	329 0.8×	278 1.5×	74 0.8×	95 1.5×	51 0.8×	36	534
Jarosław Kaszewski	418 1.0×	172 0.9×	55 0.6×	47 0.8×	58 1.0×	37	519
Aurélie Champagne	434 1.0×	208 1.1×	64 0.7×	50 0.8×	49 0.8×	17	471
Walid Ismail	362 0.8×	245 1.3×	79 0.8×	43 0.7×	50 0.8×	30	494
Chao Lin	309 0.7×	142 0.8×	67 0.7×	52 0.8×	95 1.6×	25	454
Pan Liu	432 1.0×	233 1.2×	88 0.9×	119 1.9×	99 1.6×	24	556
Sumit Chahal	336 0.8×	116 0.6×	103 1.1×	73 1.2×	58 1.0×	22	451

Countries citing papers authored by Qinke Wu

Since Specialization

Citations

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

Fields of papers citing papers by Qinke Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinke Wu

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