Jieyang Chen

1.3k citations
52 papers · 778 indexed · h-index 16

Impact in

Papers in

Jieyang Chen

47 papers receiving 763 citations

Peers

Jieyang Chen
Comparison fields: 5 of 59
  • Hardware and Architecture 335
  • Computational Mathematics 10
  • Computer Networks and Communications 353
  • Computer Vision and Pattern Recognition 202
  • Artificial Intelligence 267
Replace Sihuan Li with:
Sihuan Li United States
Xin Liang United States
Tobias Grosser Switzerland
Ali Pınar United States
Ana Lucia Vărbănescu Netherlands
Francisco D. Igual Spain
Xu Liu United States
David Gregg Ireland
Bryan Singer United States
Lifeng Nai 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-authorship network

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
#Work
1 20250
2 20250
3 20253
4 20250
5 20244
6 20241
7 20230
8 202318
9 20239
10 20231
11 20230
12 202117
13 20218
14 202115
15
ISM2: Optimizing Irregular-Shaped Matrix-Matrix Multiplication on GPUs
20203
16 2019156
17 20172
18 20164
19 201620
20 20153

About Jieyang Chen

Jieyang Chen is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems and Management, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 52 papers that have together received 778 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), Distributed systems and fault tolerance (9 papers), Radiation Effects in Electronics (9 papers) and Scientific Computing and Data Management (9 papers). The work is most often cited by research in Hardware and Architecture (335 citations), Computational Mathematics (10 citations), Computer Networks and Communications (353 citations), Computer Vision and Pattern Recognition (202 citations) and Artificial Intelligence (267 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, Kevin Barker, Ang Li, 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, ACM SIGPLAN Notices, IEEE Transactions on Services Computing, Publications of the Astronomical Society of Australia and Journal of Parallel and Distributed Computing.

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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