Wei‐Chi Ku

2.7k total citations
87 papers, 1.9k citations indexed

About

Wei‐Chi Ku is a scholar working on Molecular Biology, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Wei‐Chi Ku has authored 87 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 32 papers in Information Systems and 30 papers in Computer Networks and Communications. Recurrent topics in Wei‐Chi Ku's work include User Authentication and Security Systems (32 papers), Advanced Authentication Protocols Security (29 papers) and Biometric Identification and Security (12 papers). Wei‐Chi Ku is often cited by papers focused on User Authentication and Security Systems (32 papers), Advanced Authentication Protocols Security (29 papers) and Biometric Identification and Security (12 papers). Wei‐Chi Ku collaborates with scholars based in Taiwan, Japan and Australia. Wei‐Chi Ku's co-authors include Chien‐Ming Chen, Tzu‐Chien V. Wang, Ann‐Joy Cheng, Yu‐Ju Chen, Yasushi Ishihama, Sheng‐De Wang, Yi‐Ju Chen, Meng‐Hsueh Chiang, Tzonelih Hwang and Alexey I. Nesvizhskii and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Wei‐Chi Ku

83 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei‐Chi Ku Taiwan 25 747 706 705 434 292 87 1.9k
Minjia Zhang United States 28 751 1.0× 168 0.2× 379 0.5× 270 0.6× 70 0.2× 98 2.1k
John Lockwood United States 23 375 0.5× 100 0.1× 1.3k 1.9× 709 1.6× 107 0.4× 57 2.2k
Dongmei Wang China 16 273 0.4× 82 0.1× 580 0.8× 653 1.5× 307 1.1× 102 1.6k
KiYoung Lee South Korea 15 749 1.0× 55 0.1× 359 0.5× 449 1.0× 130 0.4× 23 1.5k
Corrado Priami Italy 23 1.5k 2.0× 128 0.2× 166 0.2× 328 0.8× 20 0.1× 182 2.4k
Faraz Faghri United States 15 810 1.1× 151 0.2× 163 0.2× 284 0.7× 18 0.1× 27 1.8k
David Gilbert United Kingdom 27 2.0k 2.7× 113 0.2× 78 0.1× 445 1.0× 36 0.1× 98 2.9k
Praveen Thaggikuppe Krishnamurthy India 23 516 0.7× 43 0.1× 635 0.9× 301 0.7× 49 0.2× 136 2.1k
Robert Dyer United States 17 189 0.3× 427 0.6× 172 0.2× 186 0.4× 86 0.3× 75 1.1k
Huiqing Li China 20 198 0.3× 200 0.3× 68 0.1× 148 0.3× 55 0.2× 103 1.4k

Countries citing papers authored by Wei‐Chi Ku

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Chi Ku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei‐Chi Ku

This figure shows the co-authorship network connecting the top 25 collaborators of Wei‐Chi Ku. A scholar is included among the top collaborators of Wei‐Chi Ku 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 Wei‐Chi Ku. Wei‐Chi Ku 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.
Ku, Wei‐Chi, et al.. (2025). Integrating functional proteomics and next generation sequencing reveals potential therapeutic targets for Taiwanese breast cancer. Clinical Proteomics. 22(1). 4–4. 1 indexed citations
2.
Huang, Chi‐Cheng, Wei‐Chi Ku, Chi‐Jung Huang, & Ling‐Ming Tseng. (2024). Abstract 7098: Identifying of potential therapeutic targets of Taiwanese breast cancer by functional proteomics. Cancer Research. 84(6_Supplement). 7098–7098. 1 indexed citations
3.
Guo, Shulin, et al.. (2023). Potential prognostic and predictive value of UBE2N, IMPDH1, DYNC1LI1 and HRASLS2 in colorectal cancer stool specimens. Biomedical Reports. 18(3). 22–22. 2 indexed citations
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Hsu, Wei‐Hsiang, Cheng‐Han Lee, Ching‐Hua Kuo, et al.. (2019). ASIC3-dependent metabolomics profiling of serum and urine in a mouse model of fibromyalgia. Scientific Reports. 9(1). 12123–12123. 17 indexed citations
8.
Yeh, Ting‐Ting, et al.. (2019). Comparison of different fractionation strategies for in-depth phosphoproteomics by liquid chromatography tandem mass spectrometry. Analytical and Bioanalytical Chemistry. 411(15). 3417–3424. 10 indexed citations
9.
Hsu, Wei‐Hsiang, Yuh‐Chiang Shen, Young‐Ji Shiao, et al.. (2019). Combined proteomic and metabolomic analyses of cerebrospinal fluid from mice with ischemic stroke reveals the effects of a Buyang Huanwu decoction in neurodegenerative disease. PLoS ONE. 14(1). e0209184–e0209184. 26 indexed citations
10.
Tsai, Chia‐Feng, Wei‐Chi Ku, Yu‐Ju Chen, & Yasushi Ishihama. (2017). Absolute Phosphorylation Stoichiometry Analysis by Motif-Targeting Quantitative Mass Spectrometry. Methods in molecular biology. 1636. 313–325. 1 indexed citations
11.
Ku, Wei‐Chi, et al.. (2017). A comparative proteomic study of secretomes in kaempferitrin-treated CTX TNA2 astrocytic cells. Phytomedicine. 36. 137–144. 10 indexed citations
12.
Ku, Wei‐Chi, et al.. (2017). Dual mechanisms regulate the nucleocytoplasmic localization of human DDX6. Scientific Reports. 7(1). 42853–42853. 22 indexed citations
13.
Tsai, Chia-Feng, Yi‐Ting Wang, Chih‐Chiang Tsou, et al.. (2015). Large-scale determination of absolute phosphorylation stoichiometries in human cells by motif-targeting quantitative proteomics. Nature Communications. 6(1). 6622–6622. 137 indexed citations
14.
Ku, Wei‐Chi, et al.. (2009). Complementary Quantitative Proteomics Reveals that Transcription Factor AP-4 Mediates E-box-dependent Complex Formation for Transcriptional Repression of HDM2>. Molecular & Cellular Proteomics. 8(9). 2034–2050. 21 indexed citations
15.
Ku, Wei‐Chi, et al.. (2006). Authentication Protocols Using Hoover-Kausik's Software Token *. Journal of information science and engineering. 22(3). 691–699. 1 indexed citations
16.
Ku, Wei‐Chi, et al.. (2004). Reflection Attack on a Generalized Key Agreement and Password Authentication Protocol. IEICE Transactions on Communications. 87(5). 1386–1388. 2 indexed citations
17.
Ku, Wei‐Chi, et al.. (2004). Stolen-Verifier Attack on an Efficient Smartcard-Based One-Time Password Authentication Scheme. IEICE Transactions on Communications. 87(8). 2374–2376. 10 indexed citations
18.
Ku, Wei‐Chi, et al.. (2003). Cryptanalysis of a Variant of Peyravian-Zunic's Password Authentication Scheme. IEICE Transactions on Communications. 86(5). 1682–1684. 50 indexed citations
19.
Chen, Chien‐Ming & Wei‐Chi Ku. (2002). Stolen-Verifier Attack on Two New Strong-Password Authentication Protocols. IEICE Transactions on Communications. 2519–2521. 70 indexed citations
20.
Ku, Wei‐Chi, Ann‐Joy Cheng, & Tzu‐Chien V. Wang. (1997). Inhibition of Telomerase Activity by PKC Inhibitors in Human Nasopharyngeal Cancer Cells in Culture. Biochemical and Biophysical Research Communications. 241(3). 730–736. 124 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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