Chia‐Hui Liu

36 papers receiving 494 citations

Peers

Chia‐Hui Liu
Comparison fields: 5 of 118
  • Medical Terminology 3
  • Health Information Management 35
  • Information Systems 159
  • Microbiology 28
  • Health Informatics 6
Replace Sabita Khatri with:
Sabita Khatri India
Md. Habibur Rahman Bangladesh
Rahul Pradhan India
Mohammed Hassan Nigeria
Lucy Lu Wang United States
Sana Ullah Khan Pakistan
Rajinder Singh India
Eva Sanchez Armengol Austria
Luís Álvarez Sabucedo Spain
Prashant Gupta India
Chia‐Hui Liu relative to Sabita Khatri India Sabita Khatri's profile →
Citations per field
00.5×10×20×28×
Sabita Khatri · 1×
Citations per year

Countries citing papers authored by Chia‐Hui Liu

Since Specialization
Citations

This map shows the geographic impact of Chia‐Hui 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‐Hui 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‐Hui Liu more than expected).

Fields of papers citing papers by Chia‐Hui Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201278
2 200253
3 201440
4 202139
5 201635
6 201033
7 200729
8 201328
9 201717
10 202116
11 201315
12 200514
13 200613
14 201113
15 202011
16 201611
17 200810
18 20148
19 20218
20 20107

About Chia‐Hui Liu

Chia‐Hui Liu is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 524 indexed citations. Recurring topics across this work include Cryptography and Data Security (11 papers), Cloud Data Security Solutions (10 papers), Access Control and Trust (5 papers), Mobile Agent-Based Network Management (5 papers), Blockchain Technology Applications and Security (4 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Context-Aware Activity Recognition Systems (3 papers) and Mobile Health and mHealth Applications (2 papers). The work is most often cited by research in Medical Terminology (3 citations), Health Information Management (35 citations), Information Systems (159 citations), Microbiology (28 citations) and Health Informatics (6 citations). Chia‐Hui Liu has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Tzer‐Shyong Chen, Yu‐Fang Chung, Keith Smith, Tzer‐Long Chen, Chin‐Sheng Chen, Sheng‐De Wang, Yu‐Hsi Yuan, Feipei Lai, Jai‐Wei Lee and Li-Ting Cheng. Their work appears in journals such as Journal of Medical Systems, Sensors, Sustainability, Organic & Biomolecular Chemistry and International Journal of Information Security.

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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