Quan Yu

50 papers receiving 990 citations

Hit Papers

Centralized Feature Pyramid for Object Detection2023202620242025202350100150

Peers

Quan Yu
Comparison fields: 5 of 108
  • Electrical and Electronic Engineering 614
  • Computer Networks and Communications 367
  • Aerospace Engineering 252
  • Computer Vision and Pattern Recognition 117
  • Artificial Intelligence 98
Replace Feng Yan with:
Feng Yan China
Lina Bariah United Arab Emirates
Guoquan Li China
Junyang Shen United States
Kamran Sayrafian United States
Basem M. ElHalawany Egypt
Chan‐Tong Lam Macao
Mattias O’Nils Sweden
KyungHi Chang South Korea
Quan Yu relative to Feng Yan China Feng Yan's profile →
Citations per field
00.5×1.6×
Feng Yan · 1×
Citations per year

Countries citing papers authored by Quan Yu

Since Specialization
Citations

This map shows the geographic impact of Quan Yu'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 Quan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quan Yu more than expected).

Fields of papers citing papers by Quan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Quan Yu. 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 Quan Yu. The network helps show where Quan Yu may publish in the future.

Co-authorship network of co-authors of Quan Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Quan Yu. A scholar is included among the top collaborators of Quan Yu 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 Quan Yu. Quan Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 4
3 22
4
Centralized Feature Pyramid for Object Detectionbreakdown →
165
5 1
6 43
7 17
8 16
9 2
10 13
11 38
12 13
13 18
14 17
15 32
16 16
17 4
18
Research of Mobility Models in Tactical Mobile Ad hoc Network Simulation
1
19
Analysis of ZigBee technology
0
20
Research of JTIDS Anti-Jamming Mechanism
1

About Quan Yu

Quan Yu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Aerospace Engineering, having authored 57 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (17 papers), Cooperative Communication and Network Coding (9 papers) and Advanced Wireless Communication Technologies (7 papers). The work is most often cited by research in Computer Networks and Communications (367 citations), Electrical and Electronic Engineering (614 citations) and Aerospace Engineering (252 citations). Quan Yu has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include Lin Bai, Jinho Choi, Wei Zhang, Liyan Zhang, Jinhui Tang, Dong Zhang, Xuemin Shen, Haibo Zhou, Lina Zhu and Xuejun Zhang. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

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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