Cheng-Chun Tu
- Computer Networks and Communications top 2%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Hardware and Architecture top 5%
- Artificial Intelligence
- Co-authors
- Minlan YuRui MiaoZafar Ayyub QaziVyas SekarTzi‐cker ChiuehJustin PettitMichael FerdmanKaiwen Li
- Topics
- Software-Defined Networks and 5G (7 papers)Cloud Computing and Resource Management (5 papers)Parallel Computing and Optimization Techniques (4 papers)
- Journals
- ACM SIGPLAN NoticesACM SIGOPS Operating Systems ReviewACM SIGARCH Computer Architecture News
- Partner nations
- United StatesTaiwan
In The Last Decade
Cheng-Chun Tu
13 papers receiving 600 citations
Hit Papers
Peers
Comparison fields: 5 of 25
- Computer Networks and Communications 607
- Information Systems 204
- Electrical and Electronic Engineering 141
- Hardware and Architecture 95
- Artificial Intelligence 73
Countries citing papers authored by Cheng-Chun Tu
This map shows the geographic impact of Cheng-Chun Tu'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 Cheng-Chun Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng-Chun Tu more than expected).
Fields of papers citing papers by Cheng-Chun Tu
This network shows the impact of papers produced by Cheng-Chun Tu. 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 Cheng-Chun Tu. The network helps show where Cheng-Chun Tu may publish in the future.
Co-authorship network of co-authors of Cheng-Chun Tu
This figure shows the co-authorship network connecting the top 25 collaborators of Cheng-Chun Tu. A scholar is included among the top collaborators of Cheng-Chun Tu 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 Cheng-Chun Tu. Cheng-Chun Tu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 24 | |
| 3 | 3 | |
| 4 | 25 | |
| 5 | 9 | |
| 6 | 20 | |
| 7 | 9 | |
| 8 | 19 | |
| 9 | SIMPLE-fying middlebox policy enforcement using SDNbreakdown → | 493 |
| 10 | Autonomic Fail-over for a Software-Defined Container Computer Network. | 1 |
| 11 | 6 | |
| 12 | 10 | |
| 13 | OneClick: A Framework for Capturing Users\' Network Experiences | 2 |
About Cheng-Chun Tu
Cheng-Chun Tu is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 13 papers that have together received 627 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (7 papers), Cloud Computing and Resource Management (5 papers) and Parallel Computing and Optimization Techniques (4 papers). The work is most often cited by research in Computer Networks and Communications (607 citations), Hardware and Architecture (95 citations) and Information Systems (204 citations). Cheng-Chun Tu has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Minlan Yu, Rui Miao, Zafar Ayyub Qazi, Vyas Sekar, Tzi‐cker Chiueh, Justin Pettit, Michael Ferdman, Kaiwen Li, Yucheng Wang and Yu-Ming Huang. Their work appears in journals such as ACM SIGPLAN Notices, ACM SIGOPS Operating Systems Review and ACM SIGARCH Computer Architecture News.
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.