Da Kuang

13 total papers · 596 total citations
8 papers, 506 citations indexed

About

Da Kuang is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Polymers and Plastics. According to data from OpenAlex, Da Kuang has authored 8 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Materials Chemistry, 5 papers in Electrical and Electronic Engineering and 3 papers in Polymers and Plastics. Recurrent topics in Da Kuang's work include Conducting polymers and applications (3 papers), Covalent Organic Framework Applications (2 papers) and Electrodeposition and Electroless Coatings (2 papers). Da Kuang is often cited by papers focused on Conducting polymers and applications (3 papers), Covalent Organic Framework Applications (2 papers) and Electrodeposition and Electroless Coatings (2 papers). Da Kuang collaborates with scholars based in China and Canada. Da Kuang's co-authors include Wenbin Hu, Yating Wu, Lei Liu, Tong Zhang, Y. Frank Cheng, Teng Fei, Sen Liu, Bo Yu, Chang Liu and Hongran Zhao and has published in prestigious journals such as ACS Applied Materials & Interfaces, Corrosion Science and Sensors and Actuators B Chemical.

In The Last Decade

Da Kuang

7 papers receiving 491 citations

Author Peers

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

Author						Papers	Cites
Da Kuang	273	254	126	112	74	8	506
A. Sartre	168 0.6×	180 0.7×	101 0.8×	77 0.7×	159 2.1×	13	488
Jan Wielant	340 1.2×	143 0.6×	56 0.4×	70 0.6×	49 0.7×	12	529
Hongyan Sun	344 1.3×	237 0.9×	101 0.8×	218 1.9×	112 1.5×	15	601
Naixiu Hu	212 0.8×	194 0.8×	147 1.2×	45 0.4×	90 1.2×	13	464
Carla Veríssimo	408 1.5×	188 0.7×	62 0.5×	149 1.3×	84 1.1×	16	605
Yangen Li	368 1.3×	189 0.7×	146 1.2×	95 0.8×	33 0.4×	13	608
M. Herranen	264 1.0×	312 1.2×	89 0.7×	61 0.5×	62 0.8×	15	612
A. Felten	234 0.9×	252 1.0×	34 0.3×	146 1.3×	65 0.9×	13	449
Wondong Cho	375 1.4×	110 0.4×	61 0.5×	152 1.4×	46 0.6×	12	516
Hong-Jen Lai	338 1.2×	334 1.3×	83 0.7×	185 1.7×	83 1.1×	15	575

Countries citing papers authored by Da Kuang

Since Specialization

Citations

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

Fields of papers citing papers by Da Kuang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Da Kuang

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