Minyong Shi

484 citations
74 papers · 294 indexed · h-index 10
Topics
Image Retrieval and Classification Techniques (8 papers)Web Data Mining and Analysis (7 papers)Advanced Graph Theory Research (7 papers)

In The Last Decade

Minyong Shi

63 papers receiving 266 citations

Peers

Minyong Shi
Comparison fields: 5 of 80
  • Artificial Intelligence 115
  • Information Systems 84
  • Computer Vision and Pattern Recognition 58
  • Computer Networks and Communications 55
  • Computational Theory and Mathematics 25
Replace Shanqing Yu with:
Shanqing Yu China
Sathiya Keerthi United States
Yifei Li China
Beat Gfeller Switzerland
Sahar F. Sabbeh Egypt
Saima Anwar Lashari Malaysia
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Minyong Shi relative to Shanqing Yu China Shanqing Yu's profile →
Citations per field
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Shanqing Yu · 1×
Citations per year

Countries citing papers authored by Minyong Shi

Since Specialization
Citations

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

Fields of papers citing papers by Minyong Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minyong Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Minyong Shi. A scholar is included among the top collaborators of Minyong 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 Minyong Shi. Minyong 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 16
2 3
3 2
4 0
5 24
6 5
7 1
8 1
9 9
10 10
11
Markov-based availability analysis of clusters for distributed rendering system
1
12
Modeling and Performance Analysis of Security Protocol in LEO Satellite Network
1
13 3
14 0
15 4
16 1
17
DOMINATION IN GRAPHS WITH MINIMUM DEGREE SIX
2
18
Minimally k-factor-critical graphs.
7
19 1
20 0

About Minyong Shi

Minyong Shi is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Computer Networks and Communications, having authored 74 papers that have together received 294 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (8 papers), Web Data Mining and Analysis (7 papers) and Advanced Graph Theory Research (7 papers). The work is most often cited by research in Information Systems (84 citations), Artificial Intelligence (115 citations) and Computer Vision and Pattern Recognition (58 citations). Minyong Shi has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Chunfang Li, Xin Feng, Wenqian Shang, Huiling Lu, Weiguo Lin, Haibin Zhu, Chun-Fang Li, Odile Favaron, Yue‐Feng Liu and Xin Feng. Their work appears in journals such as IEEE Access, Discrete Mathematics and Mathematical Problems in Engineering.

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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