Cen Chen

4.7k citations
193 papers · 3.6k · h-index 31

Impact in

Papers in

Cen Chen

176 papers receiving 3.5k citations

Peers

Cen Chen
Comparison fields: 5 of 173
  • Transportation 272
  • Building and Construction 367
  • Computer Networks and Communications 642
  • Artificial Intelligence 782
  • Computer Vision and Pattern Recognition 466
Replace Gang Xiong with:
Gang Xiong China
Pierfrancesco Bellini Italy
Zeng Zeng China
Yue Wang China
Di Wu China
Qiang Yang China
Liang Feng China
Mohammad R. Khosravi Iran
Shengzhong Feng China
Sachin Kumar India
Cen Chen relative to Gang Xiong China Gang Xiong's profile →
Citations per field
00.5×1.5×
Gang Xiong · 1×
Citations per year

Countries citing papers authored by Cen Chen

Since Specialization
Citations

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

Fields of papers citing papers by Cen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 193 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020189
2 2019180
3 2019157
4 2019149
5 2021129
6 2016102
7 2015102
8 2020101
9 2017100
10 201798
11 201890
12 202071
13 201566
14 201863
15 201858
16 201456
17 201855
18 201453
19 202051
20 202149

About Cen Chen

Cen Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications and Information Systems, having authored 193 papers that have together received 3.6k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (20 papers), Advanced Optical Network Technologies (17 papers), Domain Adaptation and Few-Shot Learning (13 papers), Advanced Photonic Communication Systems (13 papers), IoT and Edge/Fog Computing (12 papers), Topic Modeling (11 papers), Cloud Computing and Resource Management (10 papers) and Optical Network Technologies (10 papers). The work is most often cited by research in Transportation (272 citations), Building and Construction (367 citations), Computer Networks and Communications (642 citations), Artificial Intelligence (782 citations) and Computer Vision and Pattern Recognition (466 citations). Cen Chen has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Kenli Li, Zeng Zeng, Xiaofeng Zou, Keqin Li, Zuqing Zhu, Sin G. Teo, Shoujiang Ma, Yangfan Li, Kang Wang and Xiaoliang Chen. Their work appears in journals such as Journal of Lightwave Technology, Information Sciences, IEEE Transactions on Industrial Informatics, Scientific Reports and IEEE Transactions on Intelligent Transportation Systems.

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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