Feifei Gao
Impact in
- Computer Networks and Communications top 0.1%
- Cooperative Communication and Network Coding
-
- Advanced MIMO Systems Optimization
- Advanced Wireless Communication Technologies
- Full-Duplex Wireless Communications
- Millimeter-Wave Propagation and Modeling
- Energy Harvesting in Wireless Networks
Papers in
-
- Cooperative Communication and Network Coding 127
-
- Advanced MIMO Systems Optimization 229
- Full-Duplex Wireless Communications 94
- Millimeter-Wave Propagation and Modeling 79
- Advanced Wireless Communication Techniques 77
- Advanced Wireless Communication Technologies 76
- Energy Harvesting in Wireless Networks 64
- Wireless Communication Security Techniques 52
- Co-authors
- Shi Hong Jin (60 shared papers)Arumugam Nallanathan (46 shared papers)Shun Zhang (35 shared papers)Geoffrey Ye Li (18 shared papers)Gongpu Wang (47 shared papers)Peng Wang (6 shared papers)Hai Feng Lin (21 shared papers)Dong Shi (5 shared papers)
- Journals
- IEEE Transactions on Wireless Communications (71 papers)IEEE Transactions on Communications (46 papers)IEEE Transactions on Vehicular Technology (30 papers)IEEE Transactions on Signal Processing (28 papers)IEEE Journal on Selected Areas in Communications (23 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Feifei Gao
588 papers receiving 20.3k citations
Feifei Gao's Hit Papers
Peers
Comparison fields: 5 of 181
- Computer Networks and Communications 6.0k
- Electrical and Electronic Engineering 13.8k
- Aerospace Engineering 4.9k
- Renewable Energy, Sustainability and the Environment 2.5k
- Signal Processing 1.5k
Countries citing papers authored by Feifei Gao
This map shows the geographic impact of Feifei Gao'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 Feifei Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feifei Gao more than expected).
Fields of papers citing papers by Feifei Gao
This network shows the impact of papers produced by Feifei Gao. 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 Feifei Gao. The network helps show where Feifei Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Feifei Gao, 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 609 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Enhance the Optical Absorptivity of Nanocrystalline TiO2 Film with High Molar Extinction Coefficient Ruthenium Sensitizers for High Performance Dye-Sensitized Solar Cells Hit paper breakdown → | 2008 | 1285 |
| 2 | 2009 | 543 | |
| 3 | Deep learning for wireless physical layer: Opportunities and challenges Hit paper breakdown → | 2017 | 441 |
| 4 | Spatial- and Frequency-Wideband Effects in Millimeter-Wave Massive MIMO Systems Hit paper breakdown → | 2018 | 413 |
| 5 | A Unified Transmission Strategy for TDD/FDD Massive MIMO Systems With Spatial Basis Expansion Model Hit paper breakdown → | 2016 | 387 |
| 6 | Model-Driven Deep Learning for Physical Layer Communications Hit paper breakdown → | 2019 | 369 |
| 7 | 2008 | 347 | |
| 8 | Ambient Backscatter Communication Systems: Detection and Performance Analysis Hit paper breakdown → | 2016 | 337 |
| 9 | 2008 | 316 | |
| 10 | 2008 | 314 | |
| 11 | 3D UAV Trajectory Design and Frequency Band Allocation for Energy-Efficient and Fair Communication: A Deep Reinforcement Learning Approach Hit paper breakdown → | 2020 | 260 |
| 12 | 2009 | 245 | |
| 13 | 2016 | 232 | |
| 14 | 2021 | 218 | |
| 15 | 2020 | 214 | |
| 16 | Toward Semantic Communications: Deep Learning-Based Image Semantic Coding Hit paper breakdown → | 2022 | 214 |
| 17 | 2016 | 207 | |
| 18 | 2019 | 203 | |
| 19 | 2005 | 179 | |
| 20 | 2008 | 170 |
About Feifei Gao
Feifei Gao is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Aerospace Engineering, Signal Processing and Artificial Intelligence, having authored 609 papers that have together received 20.7k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (229 papers), Cooperative Communication and Network Coding (127 papers), Full-Duplex Wireless Communications (94 papers), Millimeter-Wave Propagation and Modeling (79 papers), Advanced Wireless Communication Techniques (77 papers), Advanced Wireless Communication Technologies (76 papers), Energy Harvesting in Wireless Networks (64 papers) and Wireless Communication Security Techniques (52 papers). The work is most often cited by research in Computer Networks and Communications (6.0k citations), Electrical and Electronic Engineering (13.8k citations), Aerospace Engineering (4.9k citations), Renewable Energy, Sustainability and the Environment (2.5k citations) and Signal Processing (1.5k citations). Feifei Gao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shi Hong Jin, Arumugam Nallanathan, Shun Zhang, Geoffrey Ye Li, Gongpu Wang, Peng Wang, Hai Feng Lin, Dong Shi, Tao Cui and Hongxiang Xie. Their work appears in journals such as IEEE Transactions on Wireless Communications, IEEE Transactions on Communications, IEEE Transactions on Vehicular Technology, IEEE Transactions on Signal Processing and IEEE Journal on Selected Areas in Communications.
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.