Cheng‐Hsien Wu

59 total papers · 1.3k total citations
47 papers, 955 citations indexed

About

Cheng‐Hsien Wu is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Cheng‐Hsien Wu has authored 47 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 23 papers in Mechanical Engineering and 13 papers in Biomedical Engineering. Recurrent topics in Cheng‐Hsien Wu's work include Injection Molding Process and Properties (16 papers), Semiconductor materials and devices (10 papers) and Advanced Memory and Neural Computing (9 papers). Cheng‐Hsien Wu is often cited by papers focused on Injection Molding Process and Properties (16 papers), Semiconductor materials and devices (10 papers) and Advanced Memory and Neural Computing (9 papers). Cheng‐Hsien Wu collaborates with scholars based in Taiwan, United States and Singapore. Cheng‐Hsien Wu's co-authors include L. James Lee, K. C. Ting, S. Y. Hou, W.C. Chiou, Douglas Yu, Yu-Jen Huang, C. T. Wang, Christine Chiu, Chien‐Hsin Yang and Hsiu‐Wen Chien and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Alloys and Compounds and IEEE Transactions on Electron Devices.

In The Last Decade

Cheng‐Hsien Wu

45 papers receiving 916 citations

Author Peers

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

Author Last Decade Papers Cites
Cheng‐Hsien Wu 539 355 170 165 122 47 955
Timo Bernthaler 630 1.2× 267 0.8× 83 0.5× 156 0.9× 109 0.9× 66 921
Xiaoyu Ding 413 0.8× 240 0.7× 280 1.6× 81 0.5× 145 1.2× 47 893
K.S. Lee 457 0.8× 427 1.2× 94 0.6× 188 1.1× 190 1.6× 44 943
Zhenyu Han 459 0.9× 129 0.4× 233 1.4× 139 0.8× 196 1.6× 75 818
Jean-François Châtelain 914 1.7× 438 1.2× 220 1.3× 380 2.3× 238 2.0× 75 1.1k
Xiaozhong Hao 623 1.2× 146 0.4× 143 0.8× 157 1.0× 238 2.0× 55 840
G.Q. Zhang 296 0.5× 787 2.2× 302 1.8× 162 1.0× 74 0.6× 87 1.2k
Etsuo Marui 847 1.6× 253 0.7× 299 1.8× 463 2.8× 99 0.8× 90 1.2k
José Díaz‐Álvarez 990 1.8× 624 1.8× 240 1.4× 532 3.2× 117 1.0× 54 1.2k
Wei Xue 553 1.0× 327 0.9× 149 0.9× 144 0.9× 168 1.4× 41 833

Countries citing papers authored by Cheng‐Hsien Wu

Since Specialization
Citations

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

Fields of papers citing papers by Cheng‐Hsien Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng‐Hsien Wu

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