Youshan Miao

1.2k citations
17 papers · 782 indexed · h-index 12
Topics
Graph Theory and Algorithms (12 papers)Advanced Graph Neural Networks (9 papers)Parallel Computing and Optimization Techniques (5 papers)
Partner nations
ChinaUnited KingdomIndia

In The Last Decade

Youshan Miao

16 papers receiving 764 citations

Peers

Youshan Miao
Comparison fields: 5 of 41
  • Computer Vision and Pattern Recognition 551
  • Artificial Intelligence 443
  • Computer Networks and Communications 320
  • Information Systems 283
  • Hardware and Architecture 122
Replace Keval Vora with:
Keval Vora United States
Wentao Han China
Lifeng Nai United States
Wencong Xiao China
Khuzaima Daudjee Canada
Mian Lu Singapore
Gaopeng Gou China
Wenbin Fang Hong Kong
Sebastian Breß Germany
Youshan Miao relative to Keval Vora United States Keval Vora's profile →
Citations per field
00.5×1.5×1.9×
Keval Vora · 1×
Citations per year

Countries citing papers authored by Youshan Miao

Since Specialization
Citations

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

Fields of papers citing papers by Youshan Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youshan Miao

This figure shows the co-authorship network connecting the top 25 collaborators of Youshan Miao. A scholar is included among the top collaborators of Youshan Miao 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 Youshan Miao. Youshan Miao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 0
2 2
3 1
4 10
5 25
6 4
7
Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks
34
8 109
9 21
10 26
11 35
12
NeuGraph: Parallel Deep Neural Network Computation on Large Graphs
69
13
TUX 2 : distributed graph computation for machine learning
29
14 90
15 38
16 112
17 177

About Youshan Miao

Youshan Miao is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 17 papers that have together received 782 indexed citations. Recurring topics across this work include Graph Theory and Algorithms (12 papers), Advanced Graph Neural Networks (9 papers) and Parallel Computing and Optimization Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (551 citations), Hardware and Architecture (122 citations) and Computer Networks and Communications (320 citations). Youshan Miao has collaborated with scholars based in China, United Kingdom and India. Frequent co-authors include Lidong Zhou, Fan Yang, Ming Wu, Enhong Chen, Jilong Xue, Zhiqi Lin, Yunxin Liu, Cheng Li, Ming Wu and Yafei Dai. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, ACM Transactions on Storage and IEEE Computer Architecture Letters.

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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