Wei‐Chi Ku

2.7k citations
88 papers · 2.0k · h-index 25

Impact in

Papers in

    • RNA modifications and cancer 5
    • Renal and related cancers 4
    • Metabolomics and Mass Spectrometry Studies 4
    • User Authentication and Security Systems 33

Wei‐Chi Ku

85 papers receiving 1.9k citations

Peers

Wei‐Chi Ku
Comparison fields: 5 of 136
  • Information Systems 711
  • Computer Networks and Communications 708
  • Signal Processing 291
  • Artificial Intelligence 418
  • Molecular Biology 717
Replace Ahmet Saçan with:
Ahmet Saçan United States
William R. Harris United States
Minjia Zhang United States
Atsushi Igarashi Japan
John Lockwood United States
David Gilbert United Kingdom
KiYoung Lee South Korea
Matthew Might United States
Dongmei Wang China
Wei‐Chi Ku relative to Ahmet Saçan United States Ahmet Saçan's profile →
Citations per field
00.5×4.2×
Ahmet Saçan · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Wei‐Chi Ku, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wei‐Chi Ku Line = papers co-authored together Wei‐Chi Ku links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004188
2 2015138
3 1997124
4 200590
5 201389
6
Stolen-Verifier Attack on Two New Strong-Password Authentication Protocols
200268
7 200765
8 201061
9 200859
10 200759
11 200451
12
Cryptanalysis of a Variant of Peyravian-Zunic's Password Authentication Scheme
200350
13 200547
14 200742
15 200340
16 200639
17 201231
18 201928
19 202027
20 200327

About Wei‐Chi Ku

Wei‐Chi Ku is a scholar working on Molecular Biology, Information Systems, Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 88 papers that have together received 2.0k indexed citations. Recurring topics across this work include User Authentication and Security Systems (33 papers), Advanced Authentication Protocols Security (30 papers), Biometric Identification and Security (12 papers), Cryptography and Data Security (8 papers), Reproductive Biology and Fertility (5 papers), RNA modifications and cancer (5 papers), Renal and related cancers (4 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). The work is most often cited by research in Information Systems (711 citations), Computer Networks and Communications (708 citations), Signal Processing (291 citations), Artificial Intelligence (418 citations) and Molecular Biology (717 citations). Wei‐Chi Ku has collaborated with scholars based in Taiwan, Japan and United States. Frequent 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, Chia-Feng Tsai and Tzonelih Hwang. Their work appears in journals such as Journal of Proteome Research, Scientific Reports, Electronics Letters, International Journal of Molecular Sciences and Molecular & Cellular Proteomics.

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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