Fei Peng
- Computer Networks and Communications top 5%
- Cellular and Molecular Neuroscience top 10%
- Electrical and Electronic Engineering
- Ecology, Evolution, Behavior and Systematics top 10%
- Genetics
- Co-authors
- Lars ChıttkaMichael ManganKonstantinos LagogiannisBarbara WebbVictor C. M. LeungHussein AlnuweiriBin PengDepei Qian
- Topics
- Wireless Networks and Protocols (13 papers)Network Traffic and Congestion Control (13 papers)Advanced Wireless Network Optimization (12 papers)
- Cited by
- Cellular and Molecular NeuroscienceComputer Networks and CommunicationsEcology, Evolution, Behavior and Systematics
- Partner nations
- ChinaCanadaUnited Kingdom
In The Last Decade
Fei Peng
50 papers receiving 469 citations
Peers
Comparison fields: 5 of 78
- Computer Networks and Communications 177
- Cellular and Molecular Neuroscience 154
- Electrical and Electronic Engineering 146
- Ecology, Evolution, Behavior and Systematics 112
- Genetics 112
Countries citing papers authored by Fei Peng
This map shows the geographic impact of Fei Peng'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 Fei Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Peng more than expected).
Fields of papers citing papers by Fei Peng
This network shows the impact of papers produced by Fei Peng. 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 Fei Peng. The network helps show where Fei Peng may publish in the future.
Co-authorship network of co-authors of Fei Peng
This figure shows the co-authorship network connecting the top 25 collaborators of Fei Peng. A scholar is included among the top collaborators of Fei Peng 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 Fei Peng. Fei Peng 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 8 | |
| 10 | 4 | |
| 11 | 118 | |
| 12 | 56 | |
| 13 | 14 | |
| 14 | 20 | |
| 15 | 4 | |
| 16 | 8 | |
| 17 | 6 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 2 |
About Fei Peng
Fei Peng is a scholar working on Computer Networks and Communications, Sensory Systems and Ecology, Evolution, Behavior and Systematics, having authored 56 papers that have together received 487 indexed citations. Recurring topics across this work include Wireless Networks and Protocols (13 papers), Network Traffic and Congestion Control (13 papers) and Advanced Wireless Network Optimization (12 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (154 citations), Computer Networks and Communications (177 citations) and Ecology, Evolution, Behavior and Systematics (112 citations). Fei Peng has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Lars Chıttka, Michael Mangan, Konstantinos Lagogiannis, Barbara Webb, Victor C. M. Leung, Hussein Alnuweiri, Bin Peng, Depei Qian, Cwyn Solvi and Weidong Zhang. Their work appears in journals such as Science, Current Biology and Scientific Reports.
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.