Tianshi Chen

7.9k citations
83 papers · 5.5k indexed · 4 hit papers · h-index 25
Topics
Parallel Computing and Optimization Techniques (28 papers)Advanced Neural Network Applications (26 papers)Advanced Memory and Neural Computing (18 papers)
Partner nations
ChinaFranceUnited States

In The Last Decade

Tianshi Chen

81 papers receiving 5.3k citations

Hit Papers

DaDianNao: A Machine-Learning Supercomputer201420262018202220142014201520162505007501000

Peers

Tianshi Chen
Comparison fields: 5 of 111
  • Electrical and Electronic Engineering 3.1k
  • Computer Vision and Pattern Recognition 2.8k
  • Artificial Intelligence 1.9k
  • Hardware and Architecture 1.4k
  • Computer Networks and Communications 888
Replace Yunji Chen with:
Yunji Chen China
Olivier Temam France
Brucek Khailany United States
Leibo Liu China
Zidong Du China
Tushar Krishna United States
Hadi Esmaeilzadeh United States
Xuehai Qian United States
Guangyu Sun China
Zhiru Zhang United States
Tianshi Chen relative to Yunji Chen China Yunji Chen's profile →
Citations per field
00.5×
Yunji Chen · 1×
Citations per year

Countries citing papers authored by Tianshi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Tianshi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianshi Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Tianshi Chen. A scholar is included among the top collaborators of Tianshi 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 Tianshi Chen. Tianshi 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 0
2 4
3 6
4 18
5 17
6 11
7 10
8 76
9 127
10 2
11 9
12 31
13 73
14 213
15 8
16
A General Analysis of Evolutionary Algorithms for Hard and Easy Fitness Functions
0
17 2
18 18
19 94
20 35

About Tianshi Chen

Tianshi Chen is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Computational Mathematics, having authored 83 papers that have together received 5.5k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (28 papers), Advanced Neural Network Applications (26 papers) and Advanced Memory and Neural Computing (18 papers). The work is most often cited by research in Hardware and Architecture (1.4k citations), Computational Mathematics (105 citations) and Computer Vision and Pattern Recognition (2.8k citations). Tianshi Chen has collaborated with scholars based in China, France and United States. Frequent co-authors include Yunji Chen, Olivier Temam, Zidong Du, Shaoli Liu, Tao Luo, Chengyong Wu, Ling Li, Ninghui Sun, Shijin Zhang and Zhiwei Xu. Their work appears in journals such as Automatica, Communications of the ACM and IEEE Transactions on Image Processing.

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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