Yun Mao
- Computer Networks and Communications top 2%
- Molecular Biology
- Information Systems top 5%
- Artificial Intelligence top 5%
- Epidemiology
- Co-authors
- Boon Thau LooJonathan M. SmithLawrence K. SaulJ. K. ThomasChangbin LiuXing Li WangYing H. ShenHao Xu
- Topics
- Quantum Information and Cryptography (19 papers)Quantum Computing Algorithms and Architecture (17 papers)Peer-to-Peer Network Technologies (13 papers)
- Cited by
- Computer Networks and CommunicationsComputational MathematicsInformation Systems and Management
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Yun Mao
111 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 150
- Computer Networks and Communications 700
- Molecular Biology 359
- Information Systems 225
- Artificial Intelligence 217
- Epidemiology 159
Countries citing papers authored by Yun Mao
This map shows the geographic impact of Yun 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 Yun Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Mao more than expected).
Fields of papers citing papers by Yun Mao
This network shows the impact of papers produced by Yun 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 Yun Mao. The network helps show where Yun Mao may publish in the future.
Co-authorship network of co-authors of Yun Mao
This figure shows the co-authorship network connecting the top 25 collaborators of Yun Mao. A scholar is included among the top collaborators of Yun Mao 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 Yun Mao. Yun Mao 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 | 2 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 12 | |
| 9 | 10 | |
| 10 | 14 | |
| 11 | 59 | |
| 12 | Inception: Towards a Nested Cloud Architecture | 10 |
| 13 | TROPIC: transactional resource orchestration platform in the cloud | 2 |
| 14 | Towards fair sharing of block storage in a multi-tenant cloud | 13 |
| 15 | KnowOps: towards an embedded knowledge base for network management and operations | 5 |
| 16 | 4 | |
| 17 | Cloud resource orchestration: A data-centric approach | 29 |
| 18 | 6 | |
| 19 | 13 | |
| 20 | S4: small state and small stretch routing protocol for large wireless sensor networks | 73 |
About Yun Mao
Yun Mao is a scholar working on Computer Networks and Communications, Radiology, Nuclear Medicine and Imaging and Electrochemistry, having authored 122 papers that have together received 2.0k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (19 papers), Quantum Computing Algorithms and Architecture (17 papers) and Peer-to-Peer Network Technologies (13 papers). The work is most often cited by research in Computer Networks and Communications (700 citations), Computational Mathematics (11 citations) and Information Systems and Management (85 citations). Yun Mao has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Boon Thau Loo, Jonathan M. Smith, Lawrence K. Saul, J. K. Thomas, Changbin Liu, Xing Li Wang, Ying H. Shen, Hao Xu, Weiwei Wu and Wei Luo. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and The Journal of Physical Chemistry B.
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.