Jung‐Chun Liu
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Chao‐Tung YangChu‐Hsing LinShuo-Tsung ChenChing‐Hsien HsuFuu‐Cheng JiangFang−Yie LeuEndah KristianiHeru Susanto
- Topics
- Cloud Computing and Resource Management (25 papers)IoT and Edge/Fog Computing (13 papers)Network Security and Intrusion Detection (12 papers)
In The Last Decade
Jung‐Chun Liu
80 papers receiving 660 citations
Peers
Comparison fields: 5 of 97
- Computer Networks and Communications 391
- Information Systems 249
- Artificial Intelligence 156
- Electrical and Electronic Engineering 135
- Computer Vision and Pattern Recognition 90
Countries citing papers authored by Jung‐Chun Liu
This map shows the geographic impact of Jung‐Chun 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 Jung‐Chun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jung‐Chun Liu more than expected).
Fields of papers citing papers by Jung‐Chun Liu
This network shows the impact of papers produced by Jung‐Chun 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 Jung‐Chun Liu. The network helps show where Jung‐Chun Liu may publish in the future.
Co-authorship network of co-authors of Jung‐Chun Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Jung‐Chun Liu. A scholar is included among the top collaborators of Jung‐Chun Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jung‐Chun Liu. Jung‐Chun Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 19 | |
| 9 | 3 | |
| 10 | 29 | |
| 11 | 4 | |
| 12 | 5 | |
| 13 | 23 | |
| 14 | 2 | |
| 15 | 29 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | A Secure Wireless Communication System Integrating PRNG and Diffie-Hellman PKDS by Using a Data Connection Core | 1 |
| 19 | 33 | |
| 20 | 31 |
About Jung‐Chun Liu
Jung‐Chun Liu is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems, having authored 83 papers that have together received 725 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (25 papers), IoT and Edge/Fog Computing (13 papers) and Network Security and Intrusion Detection (12 papers). The work is most often cited by research in Computer Networks and Communications (391 citations), Information Systems (249 citations) and Signal Processing (85 citations). Jung‐Chun Liu has collaborated with scholars based in Taiwan, Indonesia and Australia. Frequent co-authors include Chao‐Tung Yang, Chu‐Hsing Lin, Shuo-Tsung Chen, Ching‐Hsien Hsu, Fuu‐Cheng Jiang, Fang−Yie Leu, Endah Kristiani, Heru Susanto, Yi‐Li Huang and William Cheng‐Chung Chu. Their work appears in journals such as IEEE Access, Sensors and IEEE Internet of Things Journal.
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.