Shih-Cheng Chen

1.1k total citations
44 papers, 877 citations indexed

About

Shih-Cheng Chen is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Shih-Cheng Chen has authored 44 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 14 papers in Materials Chemistry and 8 papers in Molecular Biology. Recurrent topics in Shih-Cheng Chen's work include Advanced Memory and Neural Computing (12 papers), Semiconductor materials and devices (11 papers) and Electronic and Structural Properties of Oxides (9 papers). Shih-Cheng Chen is often cited by papers focused on Advanced Memory and Neural Computing (12 papers), Semiconductor materials and devices (11 papers) and Electronic and Structural Properties of Oxides (9 papers). Shih-Cheng Chen collaborates with scholars based in Taiwan, Netherlands and United States. Shih-Cheng Chen's co-authors include Fu-Yen Jian, René C. L. Olsthoorn, Ting-Chang Chang, Ting‐Chang Chang, Chung‐Min Liao, Simon M. Sze, Shih-Ching Chen, Chien‐Hung Yu, Tseung‐Yuen Tseng and Ming‐Jinn Tsai and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and Journal of Virology.

In The Last Decade

Shih-Cheng Chen

44 papers receiving 862 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shih-Cheng Chen Taiwan 16 500 229 128 117 108 44 877
Guoli Li China 19 709 1.4× 648 2.8× 107 0.8× 59 0.5× 66 0.6× 81 1.2k
J Pekárek Czechia 15 261 0.5× 170 0.7× 46 0.4× 117 1.0× 178 1.6× 122 970
Chul‐Hyun Kim South Korea 19 160 0.3× 180 0.8× 107 0.8× 40 0.3× 456 4.2× 88 1.4k
Cheng‐Chung Lee Taiwan 21 452 0.9× 283 1.2× 127 1.0× 134 1.1× 279 2.6× 97 1.3k
Xiaoyu Liu China 13 771 1.5× 259 1.1× 341 2.7× 52 0.4× 111 1.0× 51 1.1k
Min Woo Kim South Korea 17 322 0.6× 357 1.6× 80 0.6× 85 0.7× 344 3.2× 49 931
Pei Du China 12 245 0.5× 291 1.3× 34 0.3× 267 2.3× 155 1.4× 28 815
Wei Yao China 17 234 0.5× 59 0.3× 19 0.1× 99 0.8× 76 0.7× 69 759
Xinning Huang China 16 501 1.0× 327 1.4× 30 0.2× 34 0.3× 72 0.7× 44 874
Rongfang Zhang China 15 174 0.3× 275 1.2× 20 0.2× 75 0.6× 46 0.4× 56 683

Countries citing papers authored by Shih-Cheng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shih-Cheng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih-Cheng Chen. 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 Shih-Cheng Chen. The network helps show where Shih-Cheng Chen may publish in the future.

Co-authorship network of co-authors of Shih-Cheng Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shih-Cheng Chen. A scholar is included among the top collaborators of Shih-Cheng Chen 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 Shih-Cheng Chen. Shih-Cheng Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Shih-Cheng, et al.. (2025). Characterization of the binding features between SARS-CoV-2 5’-proximal transcripts of genomic RNA and nucleocapsid proteins. RNA Biology. 22(1). 1–16. 2 indexed citations
2.
Chen, Shih-Cheng, et al.. (2023). Optimization of 5′UTR to evade SARS-CoV-2 Nonstructural protein 1-directed inhibition of protein synthesis in cells. Applied Microbiology and Biotechnology. 107(7-8). 2451–2468. 4 indexed citations
3.
Chen, Shih-Cheng, et al.. (2023). Programmable modulation of ribosomal frameshifting by mRNA targeting CRISPR-Cas12a system. iScience. 26(12). 108492–108492. 3 indexed citations
4.
5.
Yang, Ming‐Hui, Shih-Cheng Chen, Hsin‐Yi Wu, et al.. (2019). Quantitative analysis of progesterone using isotope dilution-matrix-assisted laser desorption ionization-time of flight mass spectrometry as a reference procedure for radioimmunoassay. Clinica Chimica Acta. 512. 106–111. 5 indexed citations
6.
Yang, Ming‐Hui, Shih-Cheng Chen, Yu‐Fen Lin, et al.. (2019). Reduction of aluminum ion neurotoxicity through a small peptide application – NAP treatment of Alzheimer's disease. Journal of Food and Drug Analysis. 27(2). 551–564. 26 indexed citations
7.
8.
Chen, Shih-Cheng, et al.. (2015). Use of Fish Scale-Derived BioCornea to Seal Full-Thickness Corneal Perforations in Pig Models. PLoS ONE. 10(11). e0143511–e0143511. 17 indexed citations
9.
Hos, Deniz, T. Huibertus van Essen, Felix Bock, et al.. (2014). Dezellularisierte Kollagenmatrix aus der Schuppe des Tilapia-Fisches als Hornhautersatz („BioCornea“). Der Ophthalmologe. 111(11). 1027–1032. 7 indexed citations
10.
Zakaria, Nadia, et al.. (2013). A Novel Fish Scale Derived Scaffold for Ocular Reconstruction. Investigative Ophthalmology & Visual Science. 54(15). 1395–1395. 1 indexed citations
11.
Feng, Liwei, Chun‐Yen Chang, Ting‐Chang Chang, et al.. (2011). Low temperature synthesis and electrical characterization of germanium doped Ti-based nanocrystals for nonvolatile memory. Thin Solid Films. 520(3). 1136–1140. 2 indexed citations
12.
Chen, Yi‐Chun, et al.. (2011). Surface states related the bias stability of amorphous In–Ga–Zn–O thin film transistors under different ambient gasses. Thin Solid Films. 520(5). 1432–1436. 20 indexed citations
13.
Chen, Shih-Cheng & René C. L. Olsthoorn. (2010). Group-specific structural features of the 5′-proximal sequences of coronavirus genomic RNAs. Virology. 401(1). 29–41. 75 indexed citations
14.
Chen, Shih-Cheng, et al.. (2010). Nonvolatile memory effect of tungsten nanocrystals under oxygen plasma treatments. Thin Solid Films. 518(24). 7339–7342. 9 indexed citations
15.
Chen, Shih-Cheng, et al.. (2009). Structural homology between bamboo mosaic virus and its satellite RNAs in the 5'untranslated region. Journal of General Virology. 91(3). 782–787. 16 indexed citations
16.
Chen, Shih-Cheng & Chung‐Min Liao. (2007). Modelling control measures to reduce the impact of pandemic influenza among schoolchildren. Epidemiology and Infection. 136(8). 1035–1045. 47 indexed citations
17.
Chen, Shih-Cheng, Erwin van den Born, Sjoerd H. E. van den Worm, et al.. (2007). New Structure Model for the Packaging Signal in the Genome of Group IIa Coronaviruses. Journal of Virology. 81(12). 6771–6774. 25 indexed citations
18.
Chen, Shih-Cheng, Huiwen Liu, Kung‐Ta Lee, & Takashi Yamakawa. (2006). High-efficiency Agrobacterium rhizogenes-mediated transformation of heat inducible sHSP18.2-GUS in Nicotiana tabacum. Plant Cell Reports. 26(1). 29–37. 9 indexed citations
19.
Lee, Kung‐Ta, Shih-Cheng Chen, Bor‐Luen Chiang, & Takashi Yamakawa. (2006). Heat-inducible production of β-glucuronidase in tobacco hairy root cultures. Applied Microbiology and Biotechnology. 73(5). 1047–1053. 12 indexed citations
20.
Chueh, Shih‐Chieh, et al.. (2002). Retroperitoneoscopic nephropexy for symptomatic nephroptosis. Surgical Endoscopy. 16(11). 1603–1607. 15 indexed citations

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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