Wen-Wei Shen

32 total papers · 522 total citations
27 papers, 424 citations indexed

About

Wen-Wei Shen is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Automotive Engineering. According to data from OpenAlex, Wen-Wei Shen has authored 27 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Electrical and Electronic Engineering, 9 papers in Biomedical Engineering and 5 papers in Automotive Engineering. Recurrent topics in Wen-Wei Shen's work include Electronic Packaging and Soldering Technologies (17 papers), 3D IC and TSV technologies (17 papers) and High voltage insulation and dielectric phenomena (5 papers). Wen-Wei Shen is often cited by papers focused on Electronic Packaging and Soldering Technologies (17 papers), 3D IC and TSV technologies (17 papers) and High voltage insulation and dielectric phenomena (5 papers). Wen-Wei Shen collaborates with scholars based in Taiwan, United States and China. Wen-Wei Shen's co-authors include Guanjun Zhang, Junbo Deng, Demin Tu, Bai‐Peng Song, Haibao Mu, Wei Song, Guo-Qiang Su, Wei‐Chung Lo, Cheng-Ta Ko and Kuan‐Neng Chen and has published in prestigious journals such as Journal of Applied Physics, IEEE Transactions on Dielectrics and Electrical Insulation and Biological and Pharmaceutical Bulletin.

In The Last Decade

Wen-Wei Shen

26 papers receiving 394 citations

Author Peers

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

Author Last Decade Papers Cites
Wen-Wei Shen 291 214 159 41 40 27 424
Guochang Li 214 0.7× 300 1.4× 146 0.9× 36 0.9× 52 1.3× 43 405
Alex See 330 1.1× 317 1.5× 107 0.7× 44 1.1× 37 0.9× 29 480
JoAnne Ronzello 166 0.6× 289 1.4× 152 1.0× 27 0.7× 34 0.8× 28 384
Chao Wang 182 0.6× 304 1.4× 212 1.3× 30 0.7× 58 1.4× 35 448
Aicha Elshabini 341 1.2× 144 0.7× 94 0.6× 17 0.4× 25 0.6× 39 474
Hideki Shumiya 234 0.8× 174 0.8× 112 0.7× 30 0.7× 9 0.2× 27 370
Weijun Yin 372 1.3× 356 1.7× 61 0.4× 87 2.1× 25 0.6× 20 451
Fulbert Baudoin 323 1.1× 364 1.7× 103 0.6× 114 2.8× 19 0.5× 25 441
Kwan C. Kao 309 1.1× 274 1.3× 86 0.5× 34 0.8× 29 0.7× 29 450
Sorin Dinculescu 247 0.8× 243 1.1× 141 0.9× 30 0.7× 61 1.5× 19 391

Countries citing papers authored by Wen-Wei Shen

Since Specialization
Citations

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

Fields of papers citing papers by Wen-Wei Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen-Wei Shen

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