Qian Yu
- Artificial Intelligence top 2%
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 5%
- Computational Mechanics top 10%
- Co-authors
- A. Salman AvestimehrMohammad Ali Maddah-AliSongze LiNetanel RavivSalman AvestimehrMahdi SoltanolkotabiAlan E. WillnerYury Polyanskiy
- Topics
- Stochastic Gradient Optimization Techniques (13 papers)Optical Network Technologies (9 papers)Caching and Content Delivery (6 papers)
- Partner nations
- United StatesChinaIran
In The Last Decade
Qian Yu
37 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 744
- Computer Networks and Communications 710
- Electrical and Electronic Engineering 313
- Computational Theory and Mathematics 101
- Computational Mechanics 85
Countries citing papers authored by Qian Yu
This map shows the geographic impact of Qian Yu'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 Qian Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qian Yu more than expected).
Fields of papers citing papers by Qian Yu
This network shows the impact of papers produced by Qian Yu. 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 Qian Yu. The network helps show where Qian Yu may publish in the future.
Co-authorship network of co-authors of Qian Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Qian Yu. A scholar is included among the top collaborators of Qian Yu 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 Qian Yu. Qian Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 17 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 56 | |
| 7 | LAGRANGE CODED COMPUTING: OPTIMAL DESIGN FOR RESILIENCY, SECURITY, AND PRIVACY | 86 |
| 8 | 86 | |
| 9 | 72 | |
| 10 | Polynomial codes: an optimal design for high-dimensional coded matrix multiplication | 220 |
| 11 | 254 | |
| 12 | 38 | |
| 13 | 76 | |
| 14 | 16 | |
| 15 | 21 | |
| 16 | 5 | |
| 17 | 0 | |
| 18 | 3 | |
| 19 | Periodic Polarization Scrambling with Uniformly Distributed SOPs on the Poincarè Sphere | 3 |
| 20 | 17 |
About Qian Yu
Qian Yu is a scholar working on Computer Networks and Communications, Artificial Intelligence and Statistics and Probability, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Stochastic Gradient Optimization Techniques (13 papers), Optical Network Technologies (9 papers) and Caching and Content Delivery (6 papers). The work is most often cited by research in Computer Networks and Communications (710 citations), Artificial Intelligence (744 citations) and Computational Mathematics (6 citations). Qian Yu has collaborated with scholars based in United States, China and Iran. Frequent co-authors include A. Salman Avestimehr, Mohammad Ali Maddah-Ali, Songze Li, Netanel Raviv, Salman Avestimehr, Mahdi Soltanolkotabi, Alan E. Willner, Alan E. Willner, Yury Polyanskiy and Shuiying Xiang. Their work appears in journals such as IEEE Transactions on Information Theory, Optics Express and IEEE Transactions on Communications.
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.