Qiaolin Ye

4.3k total citations · 2 hit papers
153 papers, 3.2k citations indexed

About

Qiaolin Ye is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Qiaolin Ye has authored 153 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Computer Vision and Pattern Recognition, 53 papers in Artificial Intelligence and 32 papers in Media Technology. Recurrent topics in Qiaolin Ye's work include Face and Expression Recognition (60 papers), Sparse and Compressive Sensing Techniques (24 papers) and Remote-Sensing Image Classification (23 papers). Qiaolin Ye is often cited by papers focused on Face and Expression Recognition (60 papers), Sparse and Compressive Sensing Techniques (24 papers) and Remote-Sensing Image Classification (23 papers). Qiaolin Ye collaborates with scholars based in China, United States and Nepal. Qiaolin Ye's co-authors include Liyong Fu, Ning Ye, Xiaobo Chen, Jian Yang, Chunxia Zhao, Zhao Zhang, Jun Liang, Tongming Yin, Xijian Fan and Shangbing Gao and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Qiaolin Ye

135 papers receiving 3.1k citations

Hit Papers

RemoteCLIP: A Vision Language Foundation Mo... 2022 2026 2023 2024 2024 2022 50 100 150

Peers

Qiaolin Ye
Comparison fields: 5 of 136
  • Computer Vision and Pattern Recognition 1.5k
  • Artificial Intelligence 974
  • Media Technology 629
  • Control and Systems Engineering 401
  • Molecular Biology 299
Ruby C. Weng Taiwan
Zhong‐Qiu Zhao China
Jun Guo China
Xin Ning China
Chenwei Deng China
Shaohui Liu China
Jing‐Hao Xue United Kingdom
Min Wang China
Bin Fang China
Yong Zhou China
Ruby C. Weng Taiwan View profile →
Citations per field, relative to Qiaolin Ye
Qiaolin Ye · 1×
Citations per year, relative to Qiaolin Ye
Qiaolin Ye · 1×

Countries citing papers authored by Qiaolin Ye

Since Specialization
Citations

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

Fields of papers citing papers by Qiaolin Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiaolin Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Qiaolin Ye. A scholar is included among the top collaborators of Qiaolin Ye 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 Qiaolin Ye. Qiaolin Ye 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 2
3 1
4 3
5 2
6 5
7 0
8 1
9 5
10 2
11 31
12 13
13 18
14 54
15 30
16 92
17
Remote sensing image classification based on deep learning features and support vector machine.
2
18 28
19 5
20 21

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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