Shan Wu

22 total papers · 541 total citations
17 papers, 409 citations indexed

About

Shan Wu is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Biomedical Engineering. According to data from OpenAlex, Shan Wu has authored 17 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 8 papers in Electronic, Optical and Magnetic Materials and 7 papers in Biomedical Engineering. Recurrent topics in Shan Wu's work include GaN-based semiconductor devices and materials (6 papers), Plasmonic and Surface Plasmon Research (5 papers) and Ga2O3 and related materials (4 papers). Shan Wu is often cited by papers focused on GaN-based semiconductor devices and materials (6 papers), Plasmonic and Surface Plasmon Research (5 papers) and Ga2O3 and related materials (4 papers). Shan Wu collaborates with scholars based in China, United States and Germany. Shan Wu's co-authors include Rongqing Xu, Yunqing Lu, Chunhui Jiang, Jing Chen, Peng Mao, Guang‐hua Gao, Labao Zhang, Xuelin Yang, Yang Liu and Yaozong Zhong and has published in prestigious journals such as Nano Letters, Applied Physics Letters and Advanced Functional Materials.

In The Last Decade

Shan Wu

17 papers receiving 397 citations

Author Peers

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

Author						Papers	Cites
Shan Wu	220	201	122	107	102	17	409
Shrouk E. Zaki	229 1.0×	195 1.0×	73 0.6×	158 1.5×	28 0.3×	27	433
Soon-Yong Kwon	148 0.7×	199 1.0×	53 0.4×	126 1.2×	67 0.7×	24	376
Jens Ingolf Mönch	170 0.8×	234 1.2×	83 0.7×	138 1.3×	25 0.2×	14	422
Hyeon Gyun Yoo	272 1.2×	239 1.2×	42 0.3×	202 1.9×	57 0.6×	10	480
N. Thomas	216 1.0×	161 0.8×	35 0.3×	97 0.9×	61 0.6×	25	397
Jianming Lei	236 1.1×	264 1.3×	45 0.4×	169 1.6×	63 0.6×	19	480
Hélèna Moreira	242 1.1×	288 1.4×	93 0.8×	122 1.1×	16 0.2×	9	441
Krishna Rajan	287 1.3×	209 1.0×	50 0.4×	113 1.1×	20 0.2×	18	488
Trevor A. Petach	206 0.9×	97 0.5×	109 0.9×	231 2.2×	63 0.6×	11	420
Tao Yang	148 0.7×	264 1.3×	68 0.6×	148 1.4×	36 0.4×	20	413

Countries citing papers authored by Shan Wu

Since Specialization

Citations

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

Fields of papers citing papers by Shan Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Wu

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