Cheng‐Wei Cheng

2.1k total citations
45 papers, 1.5k citations indexed

About

Cheng‐Wei Cheng is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Cheng‐Wei Cheng has authored 45 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 14 papers in Molecular Biology and 11 papers in Materials Chemistry. Recurrent topics in Cheng‐Wei Cheng's work include Semiconductor materials and devices (10 papers), Advancements in Semiconductor Devices and Circuit Design (5 papers) and Glycosylation and Glycoproteins Research (4 papers). Cheng‐Wei Cheng is often cited by papers focused on Semiconductor materials and devices (10 papers), Advancements in Semiconductor Devices and Circuit Design (5 papers) and Glycosylation and Glycoproteins Research (4 papers). Cheng‐Wei Cheng collaborates with scholars based in Taiwan, United States and Yemen. Cheng‐Wei Cheng's co-authors include D. K. Sadana, Eugene A. Fitzgerald, C. Bayram, J. A. Ott, Jeehwan Kim, Kuen‐Ting Shiu, Kathleen B. Reuter, Christos Dimitrakopoulos, Stephen W. Bedell and Hongsik Park and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Cheng‐Wei Cheng

44 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheng‐Wei Cheng Taiwan 17 598 495 397 314 241 45 1.5k
Lin Lei China 21 421 0.7× 562 1.1× 221 0.6× 178 0.6× 42 0.2× 92 1.2k
Yong-Jin Cho United States 20 278 0.5× 563 1.1× 210 0.5× 331 1.1× 319 1.3× 106 1.3k
Jan Paczesny Poland 22 138 0.2× 463 0.9× 372 0.9× 411 1.3× 79 0.3× 66 1.4k
Shyamsunder Erramilli United States 18 343 0.6× 169 0.3× 367 0.9× 1.0k 3.2× 113 0.5× 27 1.8k
Tao Lei China 24 349 0.6× 838 1.7× 274 0.7× 214 0.7× 41 0.2× 75 1.7k
Petia M. Vlahovska United States 34 876 1.5× 458 0.9× 795 2.0× 1.3k 4.0× 457 1.9× 91 3.1k
Cheng‐Chung Lee Taiwan 21 452 0.8× 283 0.6× 279 0.7× 389 1.2× 24 0.1× 97 1.3k
Anton P. Le Brun Australia 25 423 0.7× 257 0.5× 1.0k 2.6× 331 1.1× 19 0.1× 73 2.2k
Bing Yuan China 28 149 0.2× 698 1.4× 938 2.4× 577 1.8× 49 0.2× 159 2.3k
Shri Singh India 21 216 0.4× 543 1.1× 162 0.4× 228 0.7× 57 0.2× 98 1.9k

Countries citing papers authored by Cheng‐Wei Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Cheng‐Wei Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng‐Wei Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng‐Wei Cheng. A scholar is included among the top collaborators of Cheng‐Wei Cheng 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‐Wei Cheng. Cheng‐Wei Cheng 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.
Kou, Hwang‐Shang, et al.. (2023). Dual-probe ligation without PCR for fluorescent sandwich assay of EGFR nucleotide variants in magnetic gene capture platform. Microchimica Acta. 190(9). 375–375. 3 indexed citations
2.
3.
Cheng, Cheng‐Wei, Hwang‐Shang Kou, Shou‐Mei Wu, & Chun‐Chi Wang. (2022). A chemometric experimental design with three-step stacking capillary electrophoresis for analysis of five tobacco-specific nitrosamines in cigarette products. Journal of Chromatography A. 1677. 463283–463283. 7 indexed citations
4.
Jan, Jia-Tsrong, Ting-Jen Rachel Cheng, Yu-Pu Juang, et al.. (2021). Identification of existing pharmaceuticals and herbal medicines as inhibitors of SARS-CoV-2 infection. Proceedings of the National Academy of Sciences. 118(5). 130 indexed citations
5.
Wang, Jenhung, et al.. (2021). Multi-Q 2 software facilitates isobaric labeling quantitation analysis with improved accuracy and coverage. Scientific Reports. 11(1). 2233–2233. 3 indexed citations
6.
Han, Jin‐Ping, Malte J. Rasch, P. M. Solomon, et al.. (2020). Impact of PCM Flicker Noise and Weight Drift on Analog Hardware Inference for state-of-the-art Deep Learning Networks. 1 indexed citations
7.
Lai, Rongtao, et al.. (2020). Sentinel surveillance strategies for early detection of coronavirus disease in fever clinics: experience from China. Epidemiology and Infection. 148. e205–e205. 4 indexed citations
8.
Brew, Kevin, Rena M. Conti, Cheng‐Wei Cheng, et al.. (2020). Effect of In-situ Capping on Phase Change Memory Device Performance : AEPM: Advance Equipment Processes and Materials. 33. 1–5. 1 indexed citations
9.
Cheng, Cheng‐Wei, Yixuan Zhou, Wen‐Harn Pan, et al.. (2018). Hierarchical and programmable one-pot synthesis of oligosaccharides. Nature Communications. 9(1). 5202–5202. 78 indexed citations
10.
Lih, T. Mamie, Wai-Kok Choong, Cheng‐Wei Cheng, et al.. (2016). MAGIC-web: a platform for untargeted and targeted N-linked glycoprotein identification. Nucleic Acids Research. 44(W1). W575–W580. 9 indexed citations
11.
Kim, Jeehwan, C. Bayram, Hongsik Park, et al.. (2014). Principle of direct van der Waals epitaxy of single-crystalline films on epitaxial graphene. Nature Communications. 5(1). 4836–4836. 345 indexed citations
12.
Cheng, Cheng‐Wei, et al.. (2013). Prediction of B-cell epitopes using evolutionary information and propensity scales. BMC Bioinformatics. 14(S2). S10–S10. 40 indexed citations
13.
Lai, Jhih‐Siang, et al.. (2013). Lipid exposure prediction enhances the inference of rotational angles of transmembrane helices. BMC Bioinformatics. 14(1). 304–304. 10 indexed citations
14.
Cheng, Cheng‐Wei, Kuen‐Ting Shiu, Ning Li, et al.. (2013). Epitaxial lift-off process for gallium arsenide substrate reuse and flexible electronics. Nature Communications. 4(1). 1577–1577. 220 indexed citations
15.
Lai, Jhih‐Siang, Cheng‐Wei Cheng, Ting‐Yi Sung, & Wen‐Lian Hsu. (2012). Computational Comparative Study of Tuberculosis Proteomes Using a Model Learned from Signal Peptide Structures. PLoS ONE. 7(4). e35018–e35018. 8 indexed citations
16.
Su, Emily Chia‐Yu, Jia‐Ming Chang, Cheng‐Wei Cheng, Ting-Yi Sung, & Wen-Lian Hsu. (2012). Prediction of nuclear proteins using nuclear translocation signals proposed by probabilistic latent semantic indexing. BMC Bioinformatics. 13(S17). S13–S13. 10 indexed citations
17.
18.
Cheng, Cheng‐Wei, et al.. (2010). TMPad: an integrated structural database for helix-packing folds in transmembrane proteins. Nucleic Acids Research. 39(suppl_1). D347–D355. 19 indexed citations
19.
Cheng, Cheng‐Wei, Emily Chia‐Yu Su, Jenn-Kang Hwang, Ting-Yi Sung, & Wen-Lian Hsu. (2008). Predicting RNA-binding sites of proteins using support vector machines and evolutionary information. BMC Bioinformatics. 9(S12). S6–S6. 108 indexed citations
20.
Bai, Yu, Kenneth E. Lee, Cheng‐Wei Cheng, Minjoo Larry Lee, & Eugene A. Fitzgerald. (2008). Growth of highly tensile-strained Ge on relaxed InxGa1−xAs by metal-organic chemical vapor deposition. Journal of Applied Physics. 104(8). 105 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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