J. Y. Shi

1.6k citations
40 papers · 491 indexed · h-index 14
Topics
Advanced Graph Neural Networks (17 papers)Complex Network Analysis Techniques (12 papers)Data Management and Algorithms (10 papers)
Partner nations
Hong KongChinaSingapore

In The Last Decade

J. Y. Shi

34 papers receiving 483 citations

Peers

J. Y. Shi
Comparison fields: 5 of 77
  • Artificial Intelligence 217
  • Statistical and Nonlinear Physics 114
  • Molecular Biology 91
  • Computer Vision and Pattern Recognition 87
  • Information Systems 86
Replace Dandan Song with:
Dandan Song China
Hongjie Bai China
Eleftherios Tiakas Greece
Honghui Mei China
Esther Galbrun Finland
Jialong Han China
Xiaolong Deng China
Yunsheng Shi China
Yajun Yang China
David Auber France
J. Y. Shi relative to Dandan Song China Dandan Song's profile →
Citations per field
00.5×3.6×
Dandan Song · 1×
Citations per year

Countries citing papers authored by J. Y. Shi

Since Specialization
Citations

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

Fields of papers citing papers by J. Y. Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Y. Shi

This figure shows the co-authorship network connecting the top 25 collaborators of J. Y. Shi. A scholar is included among the top collaborators of J. Y. 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 J. Y. Shi. J. Y. 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
1 0
2 2
3 0
4 1
5 2
6 8
7 1
8 11
9 15
10 13
11 2
12 1
13 53
14
Efficient Pure Exploration in Adaptive Round model
2
15
Homogeneous Network Embedding for Massive Graphs via Personalized PageRank.
1
16 4
17 4
18
Clustering in Geo-Social Networks
1
19 7
20 41

About J. Y. Shi

J. Y. Shi is a scholar working on Statistical and Nonlinear Physics, Signal Processing and Geography, Planning and Development, having authored 40 papers that have together received 491 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (17 papers), Complex Network Analysis Techniques (12 papers) and Data Management and Algorithms (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (114 citations), Transportation (53 citations) and Signal Processing (80 citations). J. Y. Shi has collaborated with scholars based in Hong Kong, China and Singapore. Frequent co-authors include Chun Liang, Dingming Wu, Nikos Mamoulis, Renchi Yang, Xiaokui Xiao, Yin Yang, David W. Cheung, Hui Li, Sourav S. Bhowmick and Yanlin Wang. Their work appears in journals such as PLoS ONE, PLANT PHYSIOLOGY and Scientific Reports.

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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