Chengjun Cai
Impact in
- Information Systems top 1%
- Blockchain Technology Applications and Security
- Cloud Data Security Solutions
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- Mobile Crowdsensing and Crowdsourcing
Papers in
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- Blockchain Technology Applications and Security 20
- Cloud Data Security Solutions 6
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- Cryptography and Data Security 12
- Privacy-Preserving Technologies in Data 11
- Internet Traffic Analysis and Secure E-voting 2
- Co-authors
- Cong Wang (19 shared papers)Xingliang Yuan (6 shared papers)Qian Wang (6 shared papers)Shengshan Hu (2 shared papers)Kui Ren (1 shared paper)Xiangyang Luo (1 shared paper)Jian Weng (4 shared papers)Yifeng Zheng (5 shared papers)
In The Last Decade
Chengjun Cai
23 papers receiving 595 citations
Peers
Comparison fields: 5 of 42
- Information Systems 484
- Computer Science Applications 96
- Artificial Intelligence 400
- Computer Networks and Communications 132
- Transportation 16
Countries citing papers authored by Chengjun Cai
This map shows the geographic impact of Chengjun Cai'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 Chengjun Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengjun Cai more than expected).
Fields of papers citing papers by Chengjun Cai
This network shows the impact of papers produced by Chengjun Cai. 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 Chengjun Cai. The network helps show where Chengjun Cai may publish in the future.
Co-authors
The 25 scholars most cited alongside Chengjun Cai, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 184 | |
| 2 | 2018 | 81 | |
| 3 | 2017 | 52 | |
| 4 | 2019 | 48 | |
| 5 | 2018 | 39 | |
| 6 | 2019 | 27 | |
| 7 | 2019 | 26 | |
| 8 | 2021 | 25 | |
| 9 | 2017 | 25 | |
| 10 | 2021 | 18 | |
| 11 | 2021 | 16 | |
| 12 | 2020 | 11 | |
| 13 | 2018 | 9 | |
| 14 | 2019 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2024 | 6 | |
| 18 | 2016 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 3 |
About Chengjun Cai
Chengjun Cai is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Computer Science Applications and Sociology and Political Science, having authored 30 papers that have together received 602 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (20 papers), Cryptography and Data Security (12 papers), Privacy-Preserving Technologies in Data (11 papers), Cloud Data Security Solutions (6 papers), Mobile Crowdsensing and Crowdsourcing (4 papers), IoT and Edge/Fog Computing (3 papers), Internet Traffic Analysis and Secure E-voting (2 papers) and Advanced Malware Detection Techniques (2 papers). The work is most often cited by research in Information Systems (484 citations), Computer Science Applications (96 citations), Artificial Intelligence (400 citations), Computer Networks and Communications (132 citations) and Transportation (16 citations). Chengjun Cai has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Cong Wang, Xingliang Yuan, Qian Wang, Shengshan Hu, Kui Ren, Xiangyang Luo, Jian Weng, Yifeng Zheng, Anxin Zhou and Zhan Qin. Their work appears in journals such as IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Information Forensics and Security, International Journal of Colorectal Disease, IEEE Transactions on Neural Networks and Learning Systems and IEEE Access.
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.