Xiaoming Shi

839 total citations · 1 hit paper
19 papers, 431 citations indexed

About

Xiaoming Shi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Xiaoming Shi has authored 19 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Information Systems. Recurrent topics in Xiaoming Shi's work include Cloud Computing and Resource Management (3 papers), Remote Sensing and Land Use (3 papers) and Data Stream Mining Techniques (2 papers). Xiaoming Shi is often cited by papers focused on Cloud Computing and Resource Management (3 papers), Remote Sensing and Land Use (3 papers) and Data Stream Mining Techniques (2 papers). Xiaoming Shi collaborates with scholars based in China and United States. Xiaoming Shi's co-authors include Guoliang Jin, Linhai Song, Shan Lu, Baocai Yin, Heng Qi, Yanming Shen, James Zhang, Kun Li, Lintao Ma and Shiyu Wang and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Applied Mathematics and Mechanics and Geo-spatial Information Science.

In The Last Decade

Xiaoming Shi

19 papers receiving 416 citations

Hit Papers

Understanding and detecting real-world performance bugs 2012 2026 2016 2021 2012 50 100 150 200

Peers

Xiaoming Shi
Comparison fields: 5 of 54
  • Computer Networks and Communications 213
  • Information Systems 171
  • Software 142
  • Building and Construction 124
  • Transportation 87
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Citations per field, relative to Xiaoming Shi
Xiaoming Shi · 1×
Citations per year, relative to Xiaoming Shi
Xiaoming Shi · 1×

Countries citing papers authored by Xiaoming Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoming Shi

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 2
2 4
3 1
4 2
5 1
6 19
7 2
8 5
9 2
10 141
11 3
12 1
13
Understanding and detecting real-world performance bugs breakdown →
235
14
An FAHP-based probe into the water disaster cause in coal mines
1
15 4
16
Effect of phosphogypsum on anti-enzyme activities in paddy seedling
1
17
Research on Rice Mapping Using Multi-temporal SAR Images
3
18 1
19 3

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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