Shaojun Shi

516 total citations
20 papers, 415 citations indexed

About

Shaojun Shi is a scholar working on Computer Vision and Pattern Recognition, Urban Studies and Artificial Intelligence. According to data from OpenAlex, Shaojun Shi has authored 20 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 6 papers in Urban Studies and 5 papers in Artificial Intelligence. Recurrent topics in Shaojun Shi's work include Face and Expression Recognition (11 papers), Advanced Computing and Algorithms (6 papers) and Remote-Sensing Image Classification (5 papers). Shaojun Shi is often cited by papers focused on Face and Expression Recognition (11 papers), Advanced Computing and Algorithms (6 papers) and Remote-Sensing Image Classification (5 papers). Shaojun Shi collaborates with scholars based in China, Australia and Germany. Shaojun Shi's co-authors include Feiping Nie, Xuelong Li, Rong Wang, Jing Li, Gang Zhang, Weidong Yan, Liya Wang, Ying Zeng, Yuanding Huang and Norbert Hort and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Information Sciences.

In The Last Decade

Shaojun Shi

17 papers receiving 412 citations

Peers

Shaojun Shi
Comparison fields: 5 of 56
  • Computer Vision and Pattern Recognition 283
  • Artificial Intelligence 207
  • Media Technology 97
  • Urban Studies 61
  • Statistical and Nonlinear Physics 29
Replace Shanhua Zhan with:
Shanhua Zhan China
Longquan Dai China
Jiaqi Lin China
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Sohil Shah United States
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Tarek Elguebaly Canada
Maoying Qiao Australia
Shanhua Zhan China View profile →
Citations per field, relative to Shaojun Shi
Shaojun Shi · 1×
Citations per year, relative to Shaojun Shi
Shaojun Shi · 1×

Countries citing papers authored by Shaojun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Shaojun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaojun Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Shaojun Shi. A scholar is included among the top collaborators of Shaojun 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 Shaojun Shi. Shaojun 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
# Work Indexed citations
1 0
2 5
3 9
4 10
5
ERK Activation-Mediated Autophagy Induction Resists Licochalcone A-Induced Anticancer Activities in Lung Cancer Cells in vitro
0
6 75
7 27
8 18
9 48
10 24
11 44
12 79
13 0
14 1
15 36
16 24
17 6
18
EFFICIENT SUBSET FOR PORTFOLIO SELECTION WITHOUT SHORT SELLING
1
19
[The trend of mortality of lung cancer and its association with air pollution].
5
20
SOME RESULTS ON DEFECT GROUPS
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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