Quan Shi

489 citations
36 papers · 337 indexed · 1 hit paper · h-index 10
Topics
Matrix Theory and Algorithms (12 papers)Transportation Planning and Optimization (10 papers)Electromagnetic Scattering and Analysis (7 papers)
Partner nations
ChinaHong KongCanada

In The Last Decade

Quan Shi

36 papers receiving 325 citations

Hit Papers

Spatial–Temporal Complex Graph Convolution Network for Tr...20232026202420252023255075

Peers

Quan Shi
Comparison fields: 5 of 57
  • Computational Theory and Mathematics 153
  • Building and Construction 101
  • Atomic and Molecular Physics, and Optics 85
  • Transportation 76
  • Computational Mechanics 73
Replace Shu Lü with:
Shu Lü United States
Doron Chen Israel
Manabu Shirosaki Japan
Eulalia Martı́nez Spain
Dorian Chan United States
István Maros United Kingdom
Joey Huchette United States
Dingju Zhu China
А. Л. Казаков Russia
Geraldo Veiga United States
Quan Shi relative to Shu Lü United States Shu Lü's profile →
Citations per field
00.5×9.4×
Shu Lü · 1×
Citations per year

Countries citing papers authored by Quan Shi

Since Specialization
Citations

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

Fields of papers citing papers by Quan Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quan Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Quan Shi. A scholar is included among the top collaborators of Quan 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 Quan Shi. Quan 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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Spatial–Temporal Complex Graph Convolution Network for Traffic Flow Predictionbreakdown →
81
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16 32
17 12
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19 7
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Research and Application of Dynamical Classification Model for Ensemble Learning Based on Approximation Concept Lattice of Roughness
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About Quan Shi

Quan Shi is a scholar working on Transportation, Computational Theory and Mathematics and Numerical Analysis, having authored 36 papers that have together received 337 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (12 papers), Transportation Planning and Optimization (10 papers) and Electromagnetic Scattering and Analysis (7 papers). The work is most often cited by research in Transportation (76 citations), Numerical Analysis (60 citations) and Computational Theory and Mathematics (153 citations). Quan Shi has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Qinqin Shen, Yang Cao, Weiping Ding, Zhi-Ru Ren, Jiashuang Huang, Senlai Zhu, Linquan Yao, Xu An Wang, Jiandong Wang and Yanghua Xiao. Their work appears in journals such as Information Sciences, International Journal of Environmental Research and Public Health and Sustainability.

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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