Feng Yan

2.1k citations
128 papers · 1.3k · 1 hit paper · h-index 19

Impact in

Papers in

Feng Yan

123 papers receiving 1.3k citations

Feng Yan's Hit Papers

Channel prior convolutional attention for medical image segmentation 2024 · 141 citations
1410+1Years since publication4080120

Peers

Feng Yan
Comparison fields: 5 of 79
  • Computer Networks and Communications 755
  • Electrical and Electronic Engineering 767
  • Aerospace Engineering 269
  • Computer Vision and Pattern Recognition 141
  • Computer Science Applications 36
Replace Ming‐Tuo Zhou with:
Ming‐Tuo Zhou Singapore
Xiangwang Hou China
Xuelin Cao China
Hiroyuki Morikawa Japan
Rabindranath Bera India
Victor Bahl United States
Tiago Koketsu Rodrigues Japan
Jianmin Lu China
Feng Yan relative to Ming‐Tuo Zhou Singapore Ming‐Tuo Zhou's profile →
Citations per field
00.5×10×13×
Ming‐Tuo Zhou · 1×
Citations per year

Countries citing papers authored by Feng Yan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Feng Yan Line = papers co-authored together Feng Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018191
2
Channel prior convolutional attention for medical image segmentation
Hit paper breakdown →
2024141
3 202179
4 202049
5 201747
6 201838
7 202135
8 201434
9 200732
10 201732
11 201730
12 202028
13 201926
14 201924
15 201723
16 201923
17 201720
18 201920
19 201719
20 201718

About Feng Yan

Feng Yan is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Artificial Intelligence 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 Age of Information Optimization (11 papers). The work is most often cited by research in Computer Networks and Communications (755 citations), Electrical and Electronic Engineering (767 citations), Aerospace Engineering (269 citations), Computer Vision and Pattern Recognition (141 citations) and Computer Science Applications (36 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, Youzhi Song, Chaoyang Chen and Zuguo Chen. Their work appears in journals such as IEEE Communications Letters, IEEE Access, IEEE Internet of Things Journal, Mobile Networks and Applications and IEEE Transactions on Cognitive Communications and Networking.

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.

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