Shi-Cho Cha
Impact in
- Information Systems top 2%
- Blockchain Technology Applications and Security
- User Authentication and Security Systems
- Cloud Data Security Solutions
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- IoT and Edge/Fog Computing
- Caching and Content Delivery
Papers in ⓘ
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- Blockchain Technology Applications and Security 9
- Cloud Data Security Solutions 4
- Information and Cyber Security 3
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- IoT and Edge/Fog Computing 4
- Bluetooth and Wireless Communication Technologies 3
- Opportunistic and Delay-Tolerant Networks 3
- Co-authors
- Kuo‐Hui Yeh (11 shared papers)Chunhua Su (2 shared papers)Yang Xiang (2 shared papers)Jeng‐Ywan Jeng (1 shared paper)John S. Liu (1 shared paper)Liting Liu (2 shared papers)Tsung-Ying Tsai (2 shared papers)Weining Chen (1 shared paper)
In The Last Decade
Shi-Cho Cha
22 papers receiving 425 citations
Peers
Comparison fields: 5 of 69
- Information Systems 286
- Computer Networks and Communications 209
- Management Information Systems 36
- Artificial Intelligence 94
- Signal Processing 30
Countries citing papers authored by Shi-Cho Cha
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
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 18 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.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 157 | |
| 2 | 2018 | 67 | |
| 3 | 2011 | 51 | |
| 4 | 2018 | 31 | |
| 5 | 2017 | 24 | |
| 6 | 2008 | 20 | |
| 7 | 2018 | 19 | |
| 8 | 2018 | 15 | |
| 9 | 2023 | 9 | |
| 10 | 2018 | 9 | |
| 11 | 2014 | 7 | |
| 12 | 2017 | 6 | |
| 13 | 2009 | 5 | |
| 14 | 2016 | 4 | |
| 15 | 2019 | 4 | |
| 16 | 2017 | 4 | |
| 17 | 2020 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2014 | 3 | |
| 20 | 2021 | 1 |
About Shi-Cho Cha
Shi-Cho Cha is a scholar working on Information Systems, Computer Networks and Communications, Information Systems and Management, Software and Sociology and Political Science, having authored 25 papers that have together received 445 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (9 papers), Privacy, Security, and Data Protection (8 papers), Privacy-Preserving Technologies in Data (6 papers), IoT and Edge/Fog Computing (4 papers), Cloud Data Security Solutions (4 papers), Bluetooth and Wireless Communication Technologies (3 papers), Information and Cyber Security (3 papers) and Opportunistic and Delay-Tolerant Networks (3 papers). The work is most often cited by research in Information Systems (286 citations), Computer Networks and Communications (209 citations), Management Information Systems (36 citations), Artificial Intelligence (94 citations) and Signal Processing (30 citations). Shi-Cho Cha has collaborated with scholars based in Taiwan, Australia and Japan. Frequent co-authors include Kuo‐Hui Yeh, Chunhua Su, Yang Xiang, Jeng‐Ywan Jeng, John S. Liu, Liting Liu, Tsung-Ying Tsai, Weining Chen, Weizhi Meng and Yuh-Jzer Joung. Their work appears in journals such as IEEE Access, IEEE Internet of Things Journal, Solar Energy Materials and Solar Cells, IEEE Transactions on Cloud Computing and Sensors.
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.