Shuai Ma
- Artificial Intelligence top 1%
- Management Science and Operations Research top 0.5%
- Computer Networks and Communications top 1%
- Information Systems top 1%
- Computer Vision and Pattern Recognition top 2%
- Topics
- Data Management and Algorithms (26 papers)Advanced Database Systems and Queries (25 papers)Data Quality and Management (25 papers)
- Journals
- IEEE Transactions on CyberneticsIEEE Transactions on Neural Networks and Learning SystemsIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Shuai Ma
95 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 1.2k
- Management Science and Operations Research 875
- Computer Networks and Communications 835
- Information Systems 677
- Computer Vision and Pattern Recognition 655
Countries citing papers authored by Shuai Ma
This map shows the geographic impact of Shuai 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 Shuai Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuai Ma more than expected).
Fields of papers citing papers by Shuai Ma
This network shows the impact of papers produced by Shuai 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 Shuai Ma. The network helps show where Shuai Ma may publish in the future.
Co-authorship network of co-authors of Shuai Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Shuai Ma. A scholar is included among the top collaborators of Shuai Ma 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 Shuai Ma. Shuai Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 14 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 15 | |
| 14 | SpanFS: a scalable file system on fast storage devices | 24 |
| 15 | 31 | |
| 16 | 20 | |
| 17 | 26TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING ICDE 2010 | 35 |
| 18 | 23 | |
| 19 | Extending dependencies with conditions | 77 |
| 20 | Improving data quality: consistency and accuracy | 177 |
About Shuai Ma
Shuai Ma is a scholar working on Signal Processing, Management Science and Operations Research and Artificial Intelligence, having authored 101 papers that have together received 2.3k indexed citations. Recurring topics across this work include Data Management and Algorithms (26 papers), Advanced Database Systems and Queries (25 papers) and Data Quality and Management (25 papers). The work is most often cited by research in Management Science and Operations Research (875 citations), Signal Processing (616 citations) and Artificial Intelligence (1.2k citations). Shuai Ma has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Wenfei Fan, Jinpeng Huai, Nan Tang, Xibei Jia, Jianzhong Li, Jianzhong Li, Wenyuan Yu, Floris Geerts, Tianyu Wo and Gao Cong. Their work appears in journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Knowledge and Data Engineering.
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.