Shi-Cho Cha

678 citations
35 papers · 535 · h-index 10

Impact in

Papers in

    • Blockchain Technology Applications and Security 9
    • Cloud Data Security Solutions 5
    • Information and Cyber Security 4
    • Digital Rights Management and Security 3
    • Privacy, Security, and Data Protection 13
    • Access Control and Trust 4

Shi-Cho Cha

31 papers receiving 516 citations

Peers

Shi-Cho Cha
Comparison fields: 5 of 71
  • Information Systems 348
  • Computer Networks and Communications 247
  • Management Information Systems 43
  • Artificial Intelligence 124
  • Signal Processing 35
Replace Rabih Bashroush with:
Rabih Bashroush United Kingdom
Robert Elsenpeter
Anthony Velte
Zaigham Mahmood United Kingdom
Yanjun Zuo United States
Αντώνιος Λίτκε Greece
Sam Goundar India
M. Niranjanamurthy India
Muhammad Imran Tariq Pakistan
Branko Mihaljević Croatia
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Citations per field
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Citations per year

Countries citing papers authored by Shi-Cho Cha

Since Specialization
Citations

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

Fields of papers citing papers by Shi-Cho Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shi-Cho Cha. 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 Shi-Cho Cha. The network helps show where Shi-Cho Cha may publish in the future.

Co-authors

The 19 scholars most cited alongside Shi-Cho Cha, 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 Shi-Cho Cha Line = papers co-authored together Shi-Cho Cha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018184
2 201881
3 201153
4 201831
5 201728
6 200823
7 201822
8 201818
9 200316
10 201810
11 20238
12 20148
13 20176
14 20095
15 20175
16 20175
17 20234
18 20164
19 20194
20 20203

About Shi-Cho Cha

Shi-Cho Cha is a scholar working on Information Systems, Sociology and Political Science, Computer Networks and Communications, Artificial Intelligence and Management Information Systems, having authored 35 papers that have together received 535 indexed citations. Recurring topics across this work include Privacy, Security, and Data Protection (13 papers), Blockchain Technology Applications and Security (9 papers), Privacy-Preserving Technologies in Data (8 papers), IoT and Edge/Fog Computing (5 papers), Cloud Data Security Solutions (5 papers), Access Control and Trust (4 papers), Information and Cyber Security (4 papers) and Digital Rights Management and Security (3 papers). The work is most often cited by research in Information Systems (348 citations), Computer Networks and Communications (247 citations), Management Information Systems (43 citations), Artificial Intelligence (124 citations) and Signal Processing (35 citations). Shi-Cho Cha has collaborated with scholars based in Taiwan, Denmark and Australia. Frequent co-authors include Kuo‐Hui Yeh, Chunhua Su, Yang Xiang, Yuh-Jzer Joung, Jeng‐Ywan Jeng, John S. Liu, Liting Liu, Tsung-Ying Tsai, Weining Chen and Weizhi Meng. Their work appears in journals such as IEEE Access, IEEE Internet of Things Journal, Computers & Industrial Engineering, Sensors and Computers & Electrical Engineering.

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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