Chia-Hsin Liu

39 papers receiving 414 citations

Peers

Chia-Hsin Liu
Comparison fields: 5 of 94
  • Cancer Research 44
  • Computer Networks and Communications 57
  • Molecular Biology 147
  • Information Systems 52
  • Signal Processing 20
Replace Se-young Ahn with:
Se-young Ahn South Korea
Jemma Wu Australia
Yuan‐chin Ivan Chang Taiwan
Claudia Hurtado Chile
Ling Yu China
Tiancheng Xie China
Yanhui Wu China
Xiaosu Chen China
Mijung Kim United States
Chia-Hsin Liu relative to Se-young Ahn South Korea Se-young Ahn's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chia-Hsin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Chia-Hsin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Hsin Liu. 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 Chia-Hsin Liu. The network helps show where Chia-Hsin Liu may publish in the future.

Co-authors

The 25 scholars most cited alongside Chia-Hsin Liu, 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 Chia-Hsin Liu Line = papers co-authored together Chia-Hsin Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202051
2 200943
3
Guessing Attacks on Strong-Password Authentication Protocol
201342
4 201631
5 201528
6 201228
7 201520
8 202319
9 201619
10 202114
11 201014
12 201513
13 201613
14 200512
15 202411
16 201611
17 201610
18 20218
19 20215
20 20165

About Chia-Hsin Liu

Chia-Hsin Liu is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Computer Networks and Communications and Artificial Intelligence, having authored 41 papers that have together received 442 indexed citations. Recurring topics across this work include Cryptography and Data Security (5 papers), Bioinformatics and Genomic Networks (4 papers), Lung Cancer Treatments and Mutations (4 papers), Advanced Authentication Protocols Security (3 papers), Security in Wireless Sensor Networks (3 papers), Cancer Genomics and Diagnostics (3 papers), RNA modifications and cancer (3 papers) and Hormonal and reproductive studies (2 papers). The work is most often cited by research in Cancer Research (44 citations), Computer Networks and Communications (57 citations), Molecular Biology (147 citations), Information Systems (52 citations) and Signal Processing (20 citations). Chia-Hsin Liu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Y. Peter Di, Min‐Shiang Hwang, Cheng‐Chi Lee, Shinsheng Yuan, Ker-Chau Li, Yu‐Chiun Chiou, Sung‐Liang Yu, Ching‐Yi Chen, Sin‐Jin Li and Hsuan‐Yu Chen. Their work appears in journals such as Oncotarget, Cancer Research, Nucleic Acids Research, Computational and Structural Biotechnology Journal and International Journal of Molecular Sciences.

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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