Shu Yin

1.3k citations
65 papers · 990 indexed · 1 hit paper · h-index 16
Topics
Advanced Data Storage Technologies (33 papers)Caching and Content Delivery (19 papers)Parallel Computing and Optimization Techniques (19 papers)

In The Last Decade

Shu Yin

58 papers receiving 934 citations

Hit Papers

Improving MapReduce performance through data placement in...2010202620152020201050100150200250

Peers

Shu Yin
Comparison fields: 5 of 84
  • Computer Networks and Communications 677
  • Information Systems 639
  • Artificial Intelligence 116
  • Hardware and Architecture 101
  • Electrical and Electronic Engineering 79
Replace Jong Sou Park with:
Jong Sou Park South Korea
Sieteng Soh Australia
Rong‐Hong Jan Taiwan
Tingjian Ge United States
Anwar Haque Canada
Javad Akbari Torkestani Iran
Marcello Cinque Italy
Mohammad Esmalifalak United States
Xiaoyong Tang China
Shu Yin relative to Jong Sou Park South Korea Jong Sou Park's profile →
Citations per field
00.5×4.5×
Jong Sou Park · 1×
Citations per year

Countries citing papers authored by Shu Yin

Since Specialization
Citations

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

Fields of papers citing papers by Shu Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Yin. A scholar is included among the top collaborators of Shu Yin 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 Shu Yin. Shu Yin 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 1
3 1
4 0
5 2
6 0
7 1
8 1
9 2
10 7
11 1
12 1
13 2
14
The Dynamic Relations among Industrial Structure,Energy Efficiency and Energy Consumption in China——An Empirical Study Based on Co-integration and VECM
1
15 179
16 1
17 37
18
Improving MapReduce performance through data placement in heterogeneous Hadoop clustersbreakdown →
270
19 16
20
Research of keeping carrier meter reading system work stably
1

About Shu Yin

Shu Yin is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 65 papers that have together received 990 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (33 papers), Caching and Content Delivery (19 papers) and Parallel Computing and Optimization Techniques (19 papers). The work is most often cited by research in Computer Networks and Communications (677 citations), Information Systems (639 citations) and Hardware and Architecture (101 citations). Shu Yin has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include Xiaojun Ruan, Adam Manzanares, Yun Tian, Xiao Qin, Xiaomin Zhu, Huangke Chen, Jiong Xie, Zhiyang Ding, Xiaocheng Liu and Laurence T. Yang. Their work appears in journals such as Acta Materialia, IEEE Transactions on Computers and Reliability Engineering & System Safety.

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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