Shi Dong

504 total citations
16 papers, 229 citations indexed

About

Shi Dong is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Shi Dong has authored 16 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Computer Networks and Communications and 7 papers in Hardware and Architecture. Recurrent topics in Shi Dong's work include Parallel Computing and Optimization Techniques (7 papers), Advanced Data Storage Technologies (6 papers) and Advanced Neural Network Applications (5 papers). Shi Dong is often cited by papers focused on Parallel Computing and Optimization Techniques (7 papers), Advanced Data Storage Technologies (6 papers) and Advanced Neural Network Applications (5 papers). Shi Dong collaborates with scholars based in United States, Mexico and Spain. Shi Dong's co-authors include David Kaeli, Yifan Sun, José Luis Abellán, Xiang Gong, Ajay Joshi, John Kim, Rajkumar Buyya, Joarder Kamruzzaman, Leszek Rutkowski and Khushnood Abbas and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, Computer Networks and Parallel Computing.

In The Last Decade

Shi Dong

15 papers receiving 219 citations

Peers

Shi Dong
Comparison fields: 5 of 43
  • Computer Networks and Communications 127
  • Hardware and Architecture 98
  • Computer Vision and Pattern Recognition 73
  • Electrical and Electronic Engineering 68
  • Artificial Intelligence 64
Replace Pengcheng Yao with:
Pengcheng Yao China
Mehdi Amini United States
Amir Kavyan Ziabari United States
Michael Kinsner United States
Lingxiao Ma China
Xiuhong Li China
Samuel Bayliss United Kingdom
Manu Shantharam United States
Kartik Hegde United States
Guibin Wang China
Pengcheng Yao China View profile →
Citations per field, relative to Shi Dong
Shi Dong · 1×
Citations per year, relative to Shi Dong
Shi Dong · 1×

Countries citing papers authored by Shi Dong

Since Specialization
Citations

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

Fields of papers citing papers by Shi Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Shi Dong. A scholar is included among the top collaborators of Shi Dong 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 Shi Dong. Shi Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 30
2 7
3 6
4 18
5 0
6 3
7 8
8 9
9 58
10 17
11 16
12 2
13 9
14 4
15 1
16 41

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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