Fangfei Chen
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Marcelo D. T. TorresRamesh K. SitaramanThomas La PortaKatherine GuoJohn C. LinMurali KodialamT. V. LakshmanAmotz Bar-Noy
- Topics
- Optimization and Search Problems (6 papers)Caching and Content Delivery (5 papers)Business Process Modeling and Analysis (5 papers)
- Journals
- IEEE Transactions on Wireless CommunicationsIEEE Transactions on Knowledge and Data EngineeringACM SIGCOMM Computer Communication Review
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Fangfei Chen
19 papers receiving 375 citations
Peers
Comparison fields: 5 of 31
- Computer Networks and Communications 345
- Information Systems 146
- Artificial Intelligence 53
- Electrical and Electronic Engineering 51
- Computer Vision and Pattern Recognition 40
Countries citing papers authored by Fangfei Chen
This map shows the geographic impact of Fangfei Chen'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 Fangfei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangfei Chen more than expected).
Fields of papers citing papers by Fangfei Chen
This network shows the impact of papers produced by Fangfei Chen. 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 Fangfei Chen. The network helps show where Fangfei Chen may publish in the future.
Co-authorship network of co-authors of Fangfei Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Fangfei Chen. A scholar is included among the top collaborators of Fangfei Chen 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 Fangfei Chen. Fangfei Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 28 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 26 | |
| 7 | 91 | |
| 8 | 17 | |
| 9 | 3 | |
| 10 | 94 | |
| 11 | 3 | |
| 12 | Resource allocation in information-centric networks | 1 |
| 13 | 2 | |
| 14 | 5 | |
| 15 | 70 | |
| 16 | 13 | |
| 17 | 7 | |
| 18 | 17 | |
| 19 | 2 | |
| 20 | 0 |
About Fangfei Chen
Fangfei Chen is a scholar working on Computer Networks and Communications, Information Systems and Management and Management Information Systems, having authored 20 papers that have together received 390 indexed citations. Recurring topics across this work include Optimization and Search Problems (6 papers), Caching and Content Delivery (5 papers) and Business Process Modeling and Analysis (5 papers). The work is most often cited by research in Computer Networks and Communications (345 citations), Information Systems (146 citations) and Management Information Systems (27 citations). Fangfei Chen has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Marcelo D. T. Torres, Ramesh K. Sitaraman, Thomas La Porta, Katherine Guo, John C. Lin, Murali Kodialam, T. V. Lakshman, Amotz Bar-Noy, Wei Song and Hans‐Arno Jacobsen. Their work appears in journals such as IEEE Transactions on Wireless Communications, IEEE Transactions on Knowledge and Data Engineering and ACM SIGCOMM Computer Communication Review.
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.