Rui Mao
Impact in
-
- Complex Network Analysis Techniques
- Signal Processing top 2%
- Data Management and Algorithms
Papers in
-
- Advanced Data Storage Technologies 15
- Caching and Content Delivery 13
-
- Data Management and Algorithms 21
- Journals
- IEEE Transactions on Knowledge and Data Engineering (8 papers)IEEE Transactions on Parallel and Distributed Systems (6 papers)IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (5 papers)Information Fusion (4 papers)Computers in Industry (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Rui Mao
126 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 121
- Statistical and Nonlinear Physics 411
- Signal Processing 286
- Computer Networks and Communications 550
- Artificial Intelligence 556
- Computer Vision and Pattern Recognition 257
Countries citing papers authored by Rui Mao
This map shows the geographic impact of Rui Mao'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 Rui Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rui Mao more than expected).
Fields of papers citing papers by Rui Mao
This network shows the impact of papers produced by Rui Mao. 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 Rui Mao. The network helps show where Rui Mao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rui Mao, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 7 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 2 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2022 | 8 | |
| 15 | 2022 | 1 | |
| 16 | 2022 | 8 | |
| 17 | 2022 | 1 | |
| 18 | 2018 | 22 | |
| 19 | 2017 | 1 | |
| 20 | 2012 | 7 |
About Rui Mao
Rui Mao is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Statistical and Nonlinear Physics and Hardware and Architecture, having authored 138 papers that have together received 1.5k indexed citations. Recurring topics across this work include Data Management and Algorithms (21 papers), Complex Network Analysis Techniques (18 papers), Advanced Data Storage Technologies (15 papers), Advanced Graph Neural Networks (15 papers), Algorithms and Data Compression (13 papers), Caching and Content Delivery (13 papers), Cloud Computing and Resource Management (12 papers) and Parallel Computing and Optimization Techniques (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (411 citations), Signal Processing (286 citations), Computer Networks and Communications (550 citations), Artificial Intelligence (556 citations) and Computer Vision and Pattern Recognition (257 citations). Rui Mao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Rong-Hua Li, Jeffrey Xu Yu, Lu Qin, Minhua Lu, Dian Zhang, Daniel P. Miranker, Yi Wang, Tan Jin, Ligang He and Wentai Wu. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Information Fusion and Computers in Industry.
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.