Cen Chen

4.6k citations
181 papers · 3.3k indexed · h-index 29

Cen Chen

166 papers receiving 3.2k citations

Peers

Cen Chen
Comparison fields: 5 of 173
  • Transportation 257
  • Computer Networks and Communications 599
  • Building and Construction 340
  • Artificial Intelligence 695
  • Computer Vision and Pattern Recognition 439
Replace Gang Xiong with:
Gang Xiong China
Yue Wang China
Pierfrancesco Bellini Italy
Zeng Zeng China
Shengzhong Feng China
Qiang Yang China
Mohammad R. Khosravi Iran
Liang Feng China
Di Wu China
R. Timothy Marler United States
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-authorship network

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
#Work
1 20250
2 20250
3 20241
4 20241
5 20241
6 20240
7 20241
8 202325
9 20231
10 202312
11 20233
12 20226
13 20211
14 20204
15 20205
16 202067
17 2019137
18 201817
19
Scalable Approaches to Home Health Care Scheduling Problems with Uncertainty.
20172
20
Space-Time Aware Behavioral Topic Modeling for Microblog Posts
201521

About Cen Chen

Cen Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Computer Graphics and Computer-Aided Design and Information Systems, having authored 181 papers that have together received 3.3k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (19 papers), Advanced Optical Network Technologies (17 papers), Advanced Photonic Communication Systems (13 papers), IoT and Edge/Fog Computing (12 papers), Domain Adaptation and Few-Shot Learning (11 papers), Cloud Computing and Resource Management (10 papers), Optical Network Technologies (10 papers) and Topic Modeling (9 papers). The work is most often cited by research in Transportation (257 citations), Computer Networks and Communications (599 citations), Building and Construction (340 citations), Artificial Intelligence (695 citations) and Computer Vision and Pattern Recognition (439 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, Xiaoliang Chen and Aijia Ouyang. Their work appears in journals such as Information Sciences, Journal of Lightwave Technology, Scientific Reports, Neurocomputing 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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