Sha Ma
Impact in
- Artificial Intelligence top 2%
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
- Cryptographic Implementations and Security
- Information Systems top 5%
- Cloud Data Security Solutions
- Blockchain Technology Applications and Security
Papers in
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- Cryptography and Data Security 28
- Privacy-Preserving Technologies in Data 16
- Cryptographic Implementations and Security 7
- Internet Traffic Analysis and Secure E-voting 3
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- Complexity and Algorithms in Graphs 12
- Co-authors
- Qiong Huang (13 shared papers)Bo Yang (4 shared papers)Mingwu Zhang (2 shared papers)Willy Susilo (5 shared papers)Yi Mu (4 shared papers)Hongbo Li (4 shared papers)Ximing Li (4 shared papers)Jian Shen (1 shared paper)
In The Last Decade
Sha Ma
27 papers receiving 511 citations
Peers
Comparison fields: 5 of 26
- Artificial Intelligence 476
- Information Systems 247
- Computational Theory and Mathematics 144
- Computer Networks and Communications 76
- Computer Vision and Pattern Recognition 51
Countries citing papers authored by Sha Ma
This map shows the geographic impact of Sha Ma'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 Sha Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sha Ma more than expected).
Fields of papers citing papers by Sha Ma
This network shows the impact of papers produced by Sha Ma. 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 Sha Ma. The network helps show where Sha Ma may publish in the future.
Co-authors
The 24 scholars most cited alongside Sha Ma, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 156 | |
| 2 | 2015 | 152 | |
| 3 | 2019 | 33 | |
| 4 | 2019 | 33 | |
| 5 | 2021 | 22 | |
| 6 | 2017 | 17 | |
| 7 | 2022 | 16 | |
| 8 | 2020 | 14 | |
| 9 | 2018 | 14 | |
| 10 | 2018 | 10 | |
| 11 | 2018 | 8 | |
| 12 | 2020 | 7 | |
| 13 | 2023 | 7 | |
| 14 | 2016 | 6 | |
| 15 | 2017 | 6 | |
| 16 | 2013 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 3 |
About Sha Ma
Sha Ma is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Computer Vision and Pattern Recognition and Molecular Biology, having authored 29 papers that have together received 526 indexed citations. Recurring topics across this work include Cryptography and Data Security (28 papers), Privacy-Preserving Technologies in Data (16 papers), Complexity and Algorithms in Graphs (12 papers), Cryptographic Implementations and Security (7 papers), Cloud Data Security Solutions (6 papers), Chaos-based Image/Signal Encryption (5 papers), Internet Traffic Analysis and Secure E-voting (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Artificial Intelligence (476 citations), Information Systems (247 citations), Computational Theory and Mathematics (144 citations), Computer Networks and Communications (76 citations) and Computer Vision and Pattern Recognition (51 citations). Sha Ma has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Qiong Huang, Bo Yang, Mingwu Zhang, Willy Susilo, Yi Mu, Hongbo Li, Ximing Li, Jian Shen, Qiong Huang and Jianchang Lai. Their work appears in journals such as The Computer Journal, Information Sciences, IEEE Transactions on Information Forensics and Security, Computer Standards & Interfaces 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.