Quan Chen

569 citations
38 papers · 393 · h-index 11

Impact in

Papers in

Quan Chen

35 papers receiving 389 citations

Peers

Quan Chen
Comparison fields: 5 of 56
  • Computer Graphics and Computer-Aided Design 30
  • Computer Vision and Pattern Recognition 138
  • Computer Networks and Communications 96
  • Radiation 30
  • Computational Mathematics 2
Replace Haoran You with:
Haoran You United States
Dongseok Im South Korea
Chaojian Li United States
Wooshik Kim South Korea
Zirui Wang China
Min Jiang China
Yuwang Wang China
Juhyoung Lee South Korea
Kun Zeng China
Cyrus Bamji United States
Quan Chen relative to Haoran You United States Haoran You's profile →
Citations per field
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Citations per year

Countries citing papers authored by Quan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Quan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Quan Chen, 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 Quan Chen Line = papers co-authored together Quan Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202080
2 202251
3 202045
4 201923
5 201921
6 201814
7 201114
8 202114
9 201813
10 202211
11 201610
12 200410
13 20209
14 20059
15 20128
16 20238
17 20168
18 20215
19 20235
20 20204

About Quan Chen

Quan Chen is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics, having authored 38 papers that have together received 393 indexed citations. Recurring topics across this work include Distributed Sensor Networks and Detection Algorithms (11 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers), Wireless Communication Security Techniques (5 papers), Advanced Radiotherapy Techniques (4 papers), Cloud Computing and Resource Management (4 papers), Advanced Vision and Imaging (4 papers), Advanced Wireless Communication Technologies (3 papers) and Security in Wireless Sensor Networks (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (30 citations), Computer Vision and Pattern Recognition (138 citations), Computer Networks and Communications (96 citations), Radiation (30 citations) and Computational Mathematics (2 citations). Quan Chen has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Pramod K. Varshney, Kun Gai, Zhiqiang Zhang, Animesh Yadav, H. Vincent Poor, Min Zhou, Xiaogang Jin, Baocheng Geng, Hock Soon Seah and Yunghsiang S. Han. Their work appears in journals such as IEEE Transactions on Signal Processing, Medical Physics, Journal of Applied Clinical Medical Physics, Computer Graphics Forum and IEEE Communications Letters.

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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