Jieyang Chen

1.4k citations
52 papers · 811 · h-index 17

Impact in

Papers in

Jieyang Chen

48 papers receiving 796 citations

Peers

Jieyang Chen
Comparison fields: 5 of 59
  • Hardware and Architecture 347
  • Computational Mathematics 10
  • Computer Networks and Communications 360
  • Computer Vision and Pattern Recognition 202
  • Artificial Intelligence 274
Replace Sihuan Li with:
Sihuan Li United States
Xin Liang United States
John Feo United States
Tobias Grosser Switzerland
Ali Pınar United States
Ana Lucia Vărbănescu Netherlands
Francisco D. Igual Spain
Xu Liu United States
David Gregg Ireland
Zhihao Jia United States
Jieyang Chen relative to Sihuan Li United States Sihuan Li's profile →
Citations per field
00.5×
Sihuan Li · 1×
Citations per year

Countries citing papers authored by Jieyang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jieyang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019165
2 2020139
3 202060
4 202144
5 201839
6 201929
7 201626
8 201624
9 201620
10 202120
11 202319
12 201719
13 201718
14 202117
15 202117
16 202116
17 201816
18 202115
19 20239
20 20219

About Jieyang Chen

Jieyang Chen is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 52 papers that have together received 811 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (24 papers), Parallel Computing and Optimization Techniques (22 papers), Distributed and Parallel Computing Systems (12 papers), Interconnection Networks and Systems (11 papers), Algorithms and Data Compression (10 papers), Radiation Effects in Electronics (9 papers), Distributed systems and fault tolerance (9 papers) and Scientific Computing and Data Management (9 papers). The work is most often cited by research in Hardware and Architecture (347 citations), Computational Mathematics (10 citations), Computer Networks and Communications (360 citations), Computer Vision and Pattern Recognition (202 citations) and Artificial Intelligence (274 citations). Jieyang Chen has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Xin Liang, Zizhong Chen, Shuaiwen Leon Song, Ang Li, Kevin Barker, Nathan R. Tallent, Xu Liu, Lipeng Wan, Jiajia Li and Dingwen Tao. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Journal of Parallel and Distributed Computing, SoftwareX, IEEE Transactions on Services Computing and Publications of the Astronomical Society of Australia.

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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