Fei Long

412 total citations
37 papers, 242 citations indexed

About

Fei Long is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Fei Long has authored 37 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in Fei Long's work include Face and Expression Recognition (13 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Blind Source Separation Techniques (6 papers). Fei Long is often cited by papers focused on Face and Expression Recognition (13 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Blind Source Separation Techniques (6 papers). Fei Long collaborates with scholars based in China, United States and South Korea. Fei Long's co-authors include Marian Stewart Bartlett, Kai Zhou, Jing-Jie Peng, Jun Sang, Xiaobo Xia, Weitao Song, Tingfan Wu, Gwen Littlewort, Javier R. Movellan and Weihua Ou and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Fei Long

35 papers receiving 228 citations

Peers

Fei Long
Comparison fields: 5 of 67
  • Computer Vision and Pattern Recognition 157
  • Artificial Intelligence 72
  • Experimental and Cognitive Psychology 55
  • Media Technology 22
  • Sociology and Political Science 19
Replace Zhiqi Shen with:
Zhiqi Shen Singapore
M. Mohamed Sathik India
Paraskevi Tzouveli Greece
Erdenebileg Batbaatar South Korea
Yangzhou Du China
Shiai Zhu Canada
Subhabrata Bhattacharya United States
Dongqi Cai China
Ayush Agarwal India
Ganesh Chandrasekaran India
Zhiqi Shen Singapore View profile →
Citations per field, relative to Fei Long
Fei Long · 1×
Citations per year, relative to Fei Long
Fei Long · 1×

Countries citing papers authored by Fei Long

Since Specialization
Citations

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

Fields of papers citing papers by Fei Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Long

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Long. A scholar is included among the top collaborators of Fei Long 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 Fei Long. Fei Long 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 2
4 0
5 39
6 1
7 26
8 2
9 1
10 1
11 3
12 36
13 1
14 1
15
A Novel Eye Localization Method Based on Log-Gabor Transform and Integral Image
6
16 2
17 5
18
The Sufficiency and Necessity Conditions for Metrization of the Fuzzy Topological Spaces
1
19
Block Statistics Based Gabor Feature Representation and Its Application to Face Recognition
1
20 2

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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