Fei Gu
Impact in
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- IoT and Edge/Fog Computing
Papers in
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- Smart Grid Energy Management 5
- Optimal Power Flow Distribution 3
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- Context-Aware Activity Recognition Systems 7
- Co-authors
- Jianwei Niu (16 shared papers)Lingjie Duan (1 shared paper)Xiaoqing Gu (1 shared paper)James M. Laffey (1 shared paper)Mohammed Atiquzzaman (2 shared papers)Jin Wang (4 shared papers)Landu Jiang (2 shared papers)Xue Liu (1 shared paper)
- Journals
- Applied Sciences (3 papers)Journal of Network and Computer Applications (3 papers)IEEE Internet of Things Journal (2 papers)Frontiers of Computer Science (2 papers)Pervasive and Mobile Computing (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Fei Gu
38 papers receiving 437 citations
Peers
Comparison fields: 5 of 93
- Computer Networks and Communications 110
- Computer Science Applications 21
- Electrical and Electronic Engineering 187
- Energy Engineering and Power Technology 10
- Information Systems 68
Countries citing papers authored by Fei Gu
This map shows the geographic impact of Fei Gu'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 Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Gu more than expected).
Fields of papers citing papers by Fei Gu
This network shows the impact of papers produced by Fei Gu. 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 Gu. The network helps show where Fei Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 71 | |
| 2 | 2011 | 60 | |
| 3 | 2022 | 55 | |
| 4 | 2019 | 50 | |
| 5 | 2018 | 27 | |
| 6 | 2018 | 26 | |
| 7 | 2021 | 24 | |
| 8 | 2018 | 21 | |
| 9 | 2017 | 15 | |
| 10 | 2016 | 14 | |
| 11 | 2017 | 10 | |
| 12 | 2017 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2020 | 7 | |
| 15 | 2021 | 4 | |
| 16 | 2017 | 4 | |
| 17 | 2020 | 4 | |
| 18 | 2017 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2015 | 4 |
About Fei Gu
Fei Gu is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence and Biomedical Engineering, having authored 43 papers that have together received 455 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (7 papers), Non-Invasive Vital Sign Monitoring (5 papers), IoT and Edge/Fog Computing (5 papers), Smart Grid Energy Management (5 papers), Microgrid Control and Optimization (4 papers), Privacy-Preserving Technologies in Data (3 papers), Optimal Power Flow Distribution (3 papers) and Caching and Content Delivery (3 papers). The work is most often cited by research in Computer Networks and Communications (110 citations), Computer Science Applications (21 citations), Electrical and Electronic Engineering (187 citations), Energy Engineering and Power Technology (10 citations) and Information Systems (68 citations). Fei Gu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jianwei Niu, Lingjie Duan, Xiaoqing Gu, James M. Laffey, Mohammed Atiquzzaman, Jin Wang, Landu Jiang, Xue Liu, Jing Wu and Ghazal Razeghi. Their work appears in journals such as Applied Sciences, Journal of Network and Computer Applications, IEEE Internet of Things Journal, Frontiers of Computer Science and Pervasive and Mobile 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.