Guanglong Wu

45 total papers · 1.0k total citations
40 papers, 860 citations indexed

About

Guanglong Wu is a scholar working on Electrical and Electronic Engineering, Health, Toxicology and Mutagenesis and Polymers and Plastics. According to data from OpenAlex, Guanglong Wu has authored 40 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 8 papers in Health, Toxicology and Mutagenesis and 8 papers in Polymers and Plastics. Recurrent topics in Guanglong Wu's work include Organic Electronics and Photovoltaics (9 papers), Conducting polymers and applications (8 papers) and Toxic Organic Pollutants Impact (7 papers). Guanglong Wu is often cited by papers focused on Organic Electronics and Photovoltaics (9 papers), Conducting polymers and applications (8 papers) and Toxic Organic Pollutants Impact (7 papers). Guanglong Wu collaborates with scholars based in China, Belgium and Germany. Guanglong Wu's co-authors include Yongfang Li, Chang He, Qingguo He, Fenglian Bai, Zhigang Shuai, Yuanping Yi, Jing Zhang, Guangjin Zhao, Qin‐Pei Wu and Xiaohong Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Guanglong Wu

40 papers receiving 854 citations

Author Peers

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

Author Last Decade Papers Cites
Guanglong Wu 455 404 146 138 99 40 860
V. Madhavi 449 1.0× 349 0.9× 203 1.4× 404 2.9× 88 0.9× 54 975
Krzysztof Karoń 431 0.9× 389 1.0× 81 0.6× 254 1.8× 129 1.3× 34 863
Valerie D. Mitchell 255 0.6× 203 0.5× 384 2.6× 123 0.9× 71 0.7× 40 1.0k
Georgia Arbuckle‐Keil 250 0.5× 238 0.6× 110 0.8× 151 1.1× 69 0.7× 44 996
Bernhard von Vacano 105 0.2× 91 0.2× 191 1.3× 209 1.5× 58 0.6× 31 1.0k
Haoyu Zhao 170 0.4× 146 0.4× 90 0.6× 285 2.1× 100 1.0× 49 822
Seong-Ho Choi 291 0.6× 148 0.4× 292 2.0× 436 3.2× 75 0.8× 54 973
Karl W. Böddeker 204 0.4× 144 0.4× 283 1.9× 218 1.6× 80 0.8× 44 1.0k
Martin Hämmerle 408 0.9× 99 0.2× 221 1.5× 149 1.1× 134 1.4× 32 944
Dong Won Kim 486 1.1× 394 1.0× 29 0.2× 168 1.2× 170 1.7× 46 849

Countries citing papers authored by Guanglong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Guanglong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanglong Wu

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