Tianlong Yu
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Co-authors
- Vyas SekarSrinivasan SeshanYuvraj AgarwalChenren XuSagar ChakiMichael J. CollinsLi TianHongbo Jiang
- Topics
- Energy Efficient Wireless Sensor Networks (4 papers)Software-Defined Networks and 5G (4 papers)Advanced Malware Detection Techniques (4 papers)
- Journals
- IEEE/ACM Transactions on NetworkingNetworked Systems Design and ImplementationFigshare
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Tianlong Yu
13 papers receiving 470 citations
Peers
Comparison fields: 5 of 42
- Computer Networks and Communications 373
- Artificial Intelligence 163
- Signal Processing 153
- Information Systems 135
- Electrical and Electronic Engineering 70
Countries citing papers authored by Tianlong Yu
This map shows the geographic impact of Tianlong 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 Tianlong Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianlong Yu more than expected).
Fields of papers citing papers by Tianlong Yu
This network shows the impact of papers produced by Tianlong 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 Tianlong Yu. The network helps show where Tianlong Yu may publish in the future.
Co-authorship network of co-authors of Tianlong Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Tianlong Yu. A scholar is included among the top collaborators of Tianlong 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 Tianlong Yu. Tianlong 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 | 2 | |
| 2 | 0 | |
| 3 | 53 | |
| 4 | 11 | |
| 5 | FreeFlow: Software-based Virtual {RDMA} Networking for Containerized Clouds | 24 |
| 6 | 44 | |
| 7 | BUZZ: testing context-dependent policies in stateful networks | 58 |
| 8 | 23 | |
| 9 | 6 | |
| 10 | 233 | |
| 11 | 9 | |
| 12 | 7 | |
| 13 | 10 | |
| 14 | 6 |
About Tianlong Yu
Tianlong Yu is a scholar working on Computer Networks and Communications, Signal Processing and Software, having authored 14 papers that have together received 486 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (4 papers), Software-Defined Networks and 5G (4 papers) and Advanced Malware Detection Techniques (4 papers). The work is most often cited by research in Computer Networks and Communications (373 citations), Signal Processing (153 citations) and Information Systems (135 citations). Tianlong Yu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Vyas Sekar, Srinivasan Seshan, Yuvraj Agarwal, Chenren Xu, Sagar Chaki, Michael J. Collins, Li Tian, Hongbo Jiang, Virginia Smith and Yuqiong Sun. Their work appears in journals such as IEEE/ACM Transactions on Networking, Networked Systems Design and Implementation and Figshare.
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.