Feng Yan
Impact in
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- IoT and Edge/Fog Computing
- Energy Efficient Wireless Sensor Networks
- Age of Information Optimization
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- Indoor and Outdoor Localization Technologies
- Advanced MIMO Systems Optimization
- Energy Harvesting in Wireless Networks
Papers in
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- Energy Efficient Wireless Sensor Networks 32
- IoT and Edge/Fog Computing 27
- Software-Defined Networks and 5G 11
- Co-authors
- Lianfeng ShenWeiwei XiaJing ZhangYaping ZhuYueyue ZhangSong XingFei ShenWei‐Ping Zhu
- Journals
- IEEE Communications Letters (5 papers)IEEE Access (4 papers)IEEE Internet of Things Journal (3 papers)IEEE Transactions on Network Science and Engineering (2 papers)Mobile Networks and Applications (2 papers)
- Partner nations
- ChinaUnited StatesBangladesh
In The Last Decade
Feng Yan
119 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Computer Networks and Communications 744
- Electrical and Electronic Engineering 757
- Aerospace Engineering 258
- Computer Vision and Pattern Recognition 132
- Information Systems 144
Countries citing papers authored by Feng Yan
This map shows the geographic impact of Feng Yan'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 Feng Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Yan more than expected).
Fields of papers citing papers by Feng Yan
This network shows the impact of papers produced by Feng Yan. 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 Feng Yan. The network helps show where Feng Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | Channel prior convolutional attention for medical image segmentation Hit paper breakdown → | 2024 | 116 |
| 5 | 2024 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 1 | |
| 8 | 2021 | 1 | |
| 9 | 2021 | 1 | |
| 10 | 2020 | 28 | |
| 11 | 2020 | 1 | |
| 12 | 2019 | 24 | |
| 13 | 2019 | 11 | |
| 14 | 2019 | 19 | |
| 15 | 2018 | 1 | |
| 16 | 2017 | 20 | |
| 17 | 2016 | 5 | |
| 18 | 2014 | 34 | |
| 19 | 2007 | 32 | |
| 20 | 2005 | 4 |
About Feng Yan
Feng Yan is a scholar working on Computer Networks and Communications, Computational Mathematics, Electrical and Electronic Engineering, Aerospace Engineering and Ocean Engineering, having authored 128 papers that have together received 1.3k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (32 papers), Indoor and Outdoor Localization Technologies (29 papers), IoT and Edge/Fog Computing (27 papers), Energy Harvesting in Wireless Networks (22 papers), Advanced MIMO Systems Optimization (20 papers), Underwater Vehicles and Communication Systems (13 papers), UAV Applications and Optimization (12 papers) and Software-Defined Networks and 5G (11 papers). The work is most often cited by research in Computer Networks and Communications (744 citations), Electrical and Electronic Engineering (757 citations), Aerospace Engineering (258 citations), Computer Vision and Pattern Recognition (132 citations) and Information Systems (144 citations). Feng Yan has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Lianfeng Shen, Weiwei Xia, Jing Zhang, Yaping Zhu, Yueyue Zhang, Song Xing, Fei Shen, Wei‐Ping Zhu, Ying Zou and Youzhi Song. Their work appears in journals such as IEEE Communications Letters, IEEE Access, IEEE Internet of Things Journal, IEEE Transactions on Network Science and Engineering and Mobile Networks and Applications.
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.