Yu Chen

3.1k citations
178 papers · 2.2k · h-index 25

Impact in

Papers in

Yu Chen

155 papers receiving 2.1k citations

Peers

Yu Chen
Comparison fields: 5 of 136
  • Computer Networks and Communications 1000
  • Hardware and Architecture 202
  • Information Systems 643
  • Transportation 137
  • Structural Biology 22
Replace Teruo Higashino with:
Teruo Higashino Japan
Aleksandr Ometov Finland
Michael Bauer Canada
Lars Wolf Germany
Yongxin Zhu China
Nilanjan Banerjee United States
Nasro Min‐Allah Saudi Arabia
Yu Chen United States
Sarbani Roy India
Yu Chen relative to Teruo Higashino Japan Teruo Higashino's profile →
Citations per field
00.5×
Teruo Higashino · 1×
Citations per year

Countries citing papers authored by Yu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 178 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009201
2 2017128
3 2010101
4 202076
5 201575
6 201771
7 202161
8 202261
9 201156
10 201954
11 201851
12 201650
13 201542
14 202341
15 201840
16 201233
17 201532
18 202129
19
Toddler-Inspired Visual Object Learning
201828
20 201528

About Yu Chen

Yu Chen is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems, Hardware and Architecture and Artificial Intelligence, having authored 178 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (21 papers), IoT and Edge/Fog Computing (19 papers), Distributed and Parallel Computing Systems (18 papers), Advanced Data Storage Technologies (16 papers), Parallel Computing and Optimization Techniques (15 papers), Caching and Content Delivery (11 papers), Context-Aware Activity Recognition Systems (9 papers) and Video Surveillance and Tracking Methods (9 papers). The work is most often cited by research in Computer Networks and Communications (1000 citations), Hardware and Architecture (202 citations), Information Systems (643 citations), Transportation (137 citations) and Structural Biology (22 citations). Yu Chen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hai Jin, Dezhong Yao, Liting Hu, Haikun Liu, Xiaofei Liao, Jing Ma, Guanpeng Dong, Wenzhong Zhang, Yijun Mo and Jiayin Li. Their work appears in journals such as IEEE Transactions on Computers, Information Fusion, IEEE Transactions on Sustainable Computing, IEEE Transactions on Parallel and Distributed Systems and IEEE Transactions on Industrial Informatics.

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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