Fang Hao
- Computer Networks and Communications top 1%
- Electrical and Electronic Engineering
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Co-authors
- T. V. LakshmanSarit MukherjeeRamana Rao KompellaAdvait DixitMurali KodialamZhi-Li ZhangYang GuoMoritz Steiner
- Topics
- Software-Defined Networks and 5G (6 papers)Cloud Computing and Resource Management (3 papers)Caching and Content Delivery (3 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsComputer Vision and Pattern Recognition
- Journals
- ACM SIGCOMM Computer Communication ReviewACM SIGMETRICS Performance Evaluation ReviewSMARTech Repository (Georgia Institute of Technology)
- Partner nations
- United StatesGermany
In The Last Decade
Fang Hao
11 papers receiving 868 citations
Hit Papers
Peers
Comparison fields: 5 of 42
- Computer Networks and Communications 850
- Electrical and Electronic Engineering 291
- Information Systems 221
- Computer Vision and Pattern Recognition 152
- Artificial Intelligence 89
Countries citing papers authored by Fang Hao
This map shows the geographic impact of Fang Hao'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 Fang Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Hao more than expected).
Fields of papers citing papers by Fang Hao
This network shows the impact of papers produced by Fang Hao. 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 Fang Hao. The network helps show where Fang Hao may publish in the future.
Co-authorship network of co-authors of Fang Hao
This figure shows the co-authorship network connecting the top 25 collaborators of Fang Hao. A scholar is included among the top collaborators of Fang Hao 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 Fang Hao. Fang Hao 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 | 125 | |
| 3 | 44 | |
| 4 | CobWeb: In-network cobbling of web traffic | 2 |
| 5 | Towards an elastic distributed SDN controllerbreakdown → | 362 |
| 6 | 246 | |
| 7 | 48 | |
| 8 | 4 | |
| 9 | 58 | |
| 10 | 6 | |
| 11 | Scalability Techniques in QoS Routing | 8 |
About Fang Hao
Fang Hao is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 11 papers that have together received 905 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (6 papers), Cloud Computing and Resource Management (3 papers) and Caching and Content Delivery (3 papers). The work is most often cited by research in Computer Networks and Communications (850 citations), Information Systems (221 citations) and Computer Vision and Pattern Recognition (152 citations). Fang Hao has collaborated with scholars based in United States and Germany. Frequent co-authors include T. V. Lakshman, Sarit Mukherjee, Ramana Rao Kompella, Advait Dixit, Murali Kodialam, Zhi-Li Zhang, Yang Guo, Moritz Steiner, Vijay Kumar Adhikari and Volker Hilt. Their work appears in journals such as ACM SIGCOMM Computer Communication Review, ACM SIGMETRICS Performance Evaluation Review and SMARTech Repository (Georgia Institute of Technology).
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.