Chun Cao
Impact in
Papers in
-
- Software System Performance and Reliability 24
- Distributed systems and fault tolerance 13
- IoT and Edge/Fog Computing 8
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- Advanced Software Engineering Methodologies 19
- Co-authors
- Mark R. Brown (5 shared papers)Xiaoxing Ma (38 shared papers)Chang Xu (29 shared papers)Jian Lü (30 shared papers)Michael A. Riehle (2 shared papers)Haini N. Cai (1 shared paper)Ping Shen (1 shared paper)Joe W. Crim (1 shared paper)
- Journals
- Science China Information Sciences (4 papers)Biochemical and Biophysical Research Communications (3 papers)Journal of Parenteral and Enteral Nutrition (2 papers)Journal of Systems and Software (2 papers)Information and Software Technology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Chun Cao
91 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 132
- Software 287
- Aging 79
- Cellular and Molecular Neuroscience 460
- Signal Processing 187
- Insect Science 206
Countries citing papers authored by Chun Cao
This map shows the geographic impact of Chun Cao'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 Chun Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun Cao more than expected).
Fields of papers citing papers by Chun Cao
This network shows the impact of papers produced by Chun Cao. 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 Chun Cao. The network helps show where Chun Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun Cao, 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 197 | |
| 2 | 2001 | 134 | |
| 3 | 2019 | 122 | |
| 4 | 2006 | 99 | |
| 5 | 2019 | 77 | |
| 6 | 2004 | 68 | |
| 7 | 2012 | 41 | |
| 8 | 2020 | 40 | |
| 9 | 2022 | 37 | |
| 10 | 2001 | 34 | |
| 11 | 2017 | 31 | |
| 12 | 2021 | 27 | |
| 13 | 2008 | 26 | |
| 14 | 2014 | 24 | |
| 15 | 2017 | 23 | |
| 16 | 2018 | 18 | |
| 17 | 2009 | 18 | |
| 18 | 2013 | 18 | |
| 19 | 2012 | 17 | |
| 20 | 2023 | 17 |
About Chun Cao
Chun Cao is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition and Software, having authored 96 papers that have together received 1.4k indexed citations. Recurring topics across this work include Software System Performance and Reliability (24 papers), Advanced Software Engineering Methodologies (19 papers), Distributed systems and fault tolerance (13 papers), Context-Aware Activity Recognition Systems (11 papers), Software Testing and Debugging Techniques (11 papers), Advanced Malware Detection Techniques (9 papers), IoT and Edge/Fog Computing (8 papers) and Software Engineering Research (7 papers). The work is most often cited by research in Software (287 citations), Aging (79 citations), Cellular and Molecular Neuroscience (460 citations), Signal Processing (187 citations) and Insect Science (206 citations). Chun Cao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Mark R. Brown, Xiaoxing Ma, Chang Xu, Jian Lü, Michael A. Riehle, Haini N. Cai, Ping Shen, Joe W. Crim, Tianxiao Gu and Yongliang Fan. Their work appears in journals such as Science China Information Sciences, Biochemical and Biophysical Research Communications, Journal of Parenteral and Enteral Nutrition, Journal of Systems and Software and Information and Software Technology.
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.