Jiye Qian

683 total citations
34 papers, 483 citations indexed

About

Jiye Qian is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Jiye Qian has authored 34 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 8 papers in Media Technology and 5 papers in Aerospace Engineering. Recurrent topics in Jiye Qian's work include Medical Image Segmentation Techniques (5 papers), Image and Object Detection Techniques (5 papers) and Remote-Sensing Image Classification (5 papers). Jiye Qian is often cited by papers focused on Medical Image Segmentation Techniques (5 papers), Image and Object Detection Techniques (5 papers) and Remote-Sensing Image Classification (5 papers). Jiye Qian collaborates with scholars based in China, United States and Macao. Jiye Qian's co-authors include Bin Fang, Yongduan Song, Fu Jin, Weibin Yang, He Liu, Dong Zhang, Yang Su, Xin Zhou, Jie Zhou and Yuan Yan Tang and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Renewable Energy.

In The Last Decade

Jiye Qian

32 papers receiving 467 citations

Peers

Jiye Qian
Comparison fields: 5 of 81
  • Computer Vision and Pattern Recognition 181
  • Control and Systems Engineering 172
  • Computer Networks and Communications 93
  • Aerospace Engineering 84
  • Computational Theory and Mathematics 67
Replace Jianxun Li with:
Jianxun Li China
Sylvain Durand France
Tamer Inanc United States
Nancy Arana‐Daniel Mexico
Zhiguo Zhang China
Jingyan Song China
Moon Kyou Song South Korea
Limei Song China
Jianxun Li China View profile →
Citations per field, relative to Jiye Qian
Jiye Qian · 1×
Citations per year, relative to Jiye Qian
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Countries citing papers authored by Jiye Qian

Since Specialization
Citations

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

Fields of papers citing papers by Jiye Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiye Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Jiye Qian. A scholar is included among the top collaborators of Jiye Qian 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 Jiye Qian. Jiye Qian 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 1
3 6
4 43
5
Face Recognition Based on Exponential Neighborhood Preserving Discriminant Embedding
1
6 9
7 4
8 8
9 144
10 5
11 4
12 1
13 2
14 4
15 2
16 3
17 75
18 34
19 5
20 13

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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