Yunji Chen

8.5k citations
120 papers · 5.8k indexed · 4 hit papers · h-index 26
Topics
Parallel Computing and Optimization Techniques (55 papers)Advanced Neural Network Applications (32 papers)Advanced Memory and Neural Computing (30 papers)
Journals
SHILAP Revista de lepidopterologíaProceedings of the IEEECommunications of the ACM
Partner nations
ChinaFranceUnited States

In The Last Decade

Yunji Chen

111 papers receiving 5.6k citations

Hit Papers

DaDianNao: A Machine-Learning Supercomputer201420262018202220142014201520162505007501000

Peers

Yunji Chen
Comparison fields: 5 of 89
  • Electrical and Electronic Engineering 3.4k
  • Computer Vision and Pattern Recognition 3.0k
  • Artificial Intelligence 1.8k
  • Hardware and Architecture 1.8k
  • Computer Networks and Communications 1.1k
Replace Tianshi Chen with:
Tianshi Chen China
Olivier Temam France
Brucek Khailany United States
Zidong Du China
Leibo Liu China
Tushar Krishna United States
Hadi Esmaeilzadeh United States
Jason Cong United States
Xuehai Qian United States
Shouyi Yin China
Yunji Chen relative to Tianshi Chen China Tianshi Chen's profile →
Citations per field
00.5×1.5×
Tianshi Chen · 1×
Citations per year

Countries citing papers authored by Yunji Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yunji Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunji Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yunji Chen. A scholar is included among the top collaborators of Yunji Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yunji Chen. Yunji Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 2
4 1
5 2
6 0
7 1
8 5
9 11
10 10
11 76
12 9
13 13
14 9
15 31
16 213
17 8
18 2
19 26
20 35

About Yunji Chen

Yunji Chen is a scholar working on Hardware and Architecture, Software and Computer Vision and Pattern Recognition, having authored 120 papers that have together received 5.8k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (55 papers), Advanced Neural Network Applications (32 papers) and Advanced Memory and Neural Computing (30 papers). The work is most often cited by research in Hardware and Architecture (1.8k citations), Computational Mathematics (115 citations) and Computer Vision and Pattern Recognition (3.0k citations). Yunji Chen has collaborated with scholars based in China, France and United States. Frequent co-authors include Tianshi Chen, Olivier Temam, Zidong Du, Shaoli Liu, Chengyong Wu, Tao Luo, Ling Li, Ninghui Sun, Shijin Zhang and Zhiwei Xu. Their work appears in journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and Communications of the ACM.

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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