Guanfeng Liang
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Co-authors
- Ulaş C. KozatNitin H. VaidyaBen LiangRachit AgarwalLongbo HuangNess B. ShroffYin SunRupesh Gupta
- Topics
- Distributed systems and fault tolerance (10 papers)Cooperative Communication and Network Coding (10 papers)Caching and Content Delivery (9 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsComputer Vision and Pattern Recognition
- Partner nations
- United StatesChinaCanada
In The Last Decade
Guanfeng Liang
25 papers receiving 334 citations
Peers
Comparison fields: 5 of 37
- Computer Networks and Communications 304
- Electrical and Electronic Engineering 111
- Information Systems 84
- Artificial Intelligence 58
- Computer Vision and Pattern Recognition 45
Countries citing papers authored by Guanfeng Liang
This map shows the geographic impact of Guanfeng Liang'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 Guanfeng Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guanfeng Liang more than expected).
Fields of papers citing papers by Guanfeng Liang
This network shows the impact of papers produced by Guanfeng Liang. 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 Guanfeng Liang. The network helps show where Guanfeng Liang may publish in the future.
Co-authorship network of co-authors of Guanfeng Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Guanfeng Liang. A scholar is included among the top collaborators of Guanfeng Liang 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 Guanfeng Liang. Guanfeng Liang 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 | 8 | |
| 3 | 19 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 13 | |
| 7 | 4 | |
| 8 | 39 | |
| 9 | 51 | |
| 10 | 49 | |
| 11 | 0 | |
| 12 | 6 | |
| 13 | 15 | |
| 14 | 5 | |
| 15 | 0 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 8 | |
| 20 | 2 |
About Guanfeng Liang
Guanfeng Liang is a scholar working on Computer Networks and Communications, Human-Computer Interaction and Information Systems, having authored 28 papers that have together received 355 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (10 papers), Cooperative Communication and Network Coding (10 papers) and Caching and Content Delivery (9 papers). The work is most often cited by research in Computer Networks and Communications (304 citations), Information Systems (84 citations) and Computer Vision and Pattern Recognition (45 citations). Guanfeng Liang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Ulaş C. Kozat, Nitin H. Vaidya, Ben Liang, Rachit Agarwal, Longbo Huang, Ness B. Shroff, Yin Sun, Rupesh Gupta, Rómer Rosales and Shengbo Chen. Their work appears in journals such as IEEE/ACM Transactions on Networking, IEEE Transactions on Multimedia and Distributed Computing.
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.