Jianchang Lai
- Information Systems top 5%
- Cloud Data Security Solutions 7
- Blockchain Technology Applications and Security 4
- Cryptography and Residue Arithmetic 4
- Artificial Intelligence top 10%
- Cryptography and Data Security 22
- Privacy-Preserving Technologies in Data 13
- Cryptographic Implementations and Security 3
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- IoT and Edge/Fog Computing 2
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- Complexity and Algorithms in Graphs 11
In The Last Decade
Jianchang Lai
24 papers receiving 250 citations
Peers
Comparison fields: 5 of 31
- Information Systems 158
- Artificial Intelligence 197
- Computer Networks and Communications 66
- Computational Theory and Mathematics 33
- Computer Vision and Pattern Recognition 25
Countries citing papers authored by Jianchang Lai
This map shows the geographic impact of Jianchang Lai'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 Jianchang Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianchang Lai more than expected).
Fields of papers citing papers by Jianchang Lai
This network shows the impact of papers produced by Jianchang Lai. 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 Jianchang Lai. The network helps show where Jianchang Lai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jianchang Lai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 2 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 9 | |
| 11 | 2019 | 13 | |
| 12 | 2019 | 3 | |
| 13 | 2019 | 0 | |
| 14 | 2018 | 2 | |
| 15 | 2018 | 13 | |
| 16 | 2017 | 6 | |
| 17 | 2017 | 14 | |
| 18 | 2017 | 20 | |
| 19 | 2016 | 28 | |
| 20 | 2016 | 2 |
About Jianchang Lai
Jianchang Lai is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 26 papers that have together received 262 indexed citations. Recurring topics across this work include Cryptography and Data Security (22 papers), Privacy-Preserving Technologies in Data (13 papers), Complexity and Algorithms in Graphs (11 papers), Cloud Data Security Solutions (7 papers), Blockchain Technology Applications and Security (4 papers), Cryptography and Residue Arithmetic (4 papers), Cryptographic Implementations and Security (3 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Information Systems (158 citations), Artificial Intelligence (197 citations), Computer Networks and Communications (66 citations), Computational Theory and Mathematics (33 citations) and Computer Vision and Pattern Recognition (25 citations). Jianchang Lai has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Fuchun Guo, Peng Jiang, Yi Mu, Willy Susilo, Kaitai Liang, Qiaoyan Wen, Rongmao Chen, Robert H. Deng, Guomin Yang and Sha Ma. Their work appears in journals such as Information Sciences, Theoretical Computer Science, The Computer Journal, IEEE Transactions on Services Computing and International Journal of Information Security.
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.