Guangyu Shi

88 papers receiving 2.2k citations

Hit Papers

Design and implementation of a consolidated middlebox arc...20122026201620212012100200300

Peers

Guangyu Shi
Comparison fields: 5 of 119
  • Computer Networks and Communications 746
  • Atmospheric Science 645
  • Global and Planetary Change 620
  • Information Systems 248
  • Electrical and Electronic Engineering 241
Replace Alexander L. Brown with:
Alexander L. Brown United States
Yee Hui Lee Singapore
Yichen Wang China
John Smith Australia
Yang China
Yu Cheng United States
Dongsheng Liu China
Mehdi Bahrami Iran
Yusuke Fujii Japan
Guangyu Shi relative to Alexander L. Brown United States Alexander L. Brown's profile →
Citations per field
00.5×5.4×
Alexander L. Brown · 1×
Citations per year

Countries citing papers authored by Guangyu Shi

Since Specialization
Citations

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

Fields of papers citing papers by Guangyu Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangyu Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Guangyu Shi. A scholar is included among the top collaborators of Guangyu Shi 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 Guangyu Shi. Guangyu Shi 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
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Unleashing the Hidden Power of Integrated-GPUs for Database Co-Processing.
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14 4
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Design and implementation of a consolidated middlebox architecturebreakdown →
316
16 65
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Vertical Distribution and Temporal Variation of Asian Dust Observed over Hefei, China by Using a Lidar
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19 91
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About Guangyu Shi

Guangyu Shi is a scholar working on Atmospheric Science, Global and Planetary Change and Computer Networks and Communications, having authored 89 papers that have together received 2.3k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (22 papers), Caching and Content Delivery (16 papers) and Atmospheric aerosols and clouds (16 papers). The work is most often cited by research in Atmospheric Science (645 citations), Computer Networks and Communications (746 citations) and Global and Planetary Change (620 citations). Guangyu Shi has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Norbert Egi, Sylvia Ratnasamy, Vyas Sekar, Michael K. Reiter, Qing Xiao, Guoming Liu, Dujin Wang, Yasunobu Iwasaka, Alejandro J. Müller and Yonggang Wen. Their work appears in journals such as Journal of Geophysical Research Atmospheres, The Science of The Total Environment and Macromolecules.

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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