Fei Yin

7.3k citations
140 papers · 3.9k indexed · 1 hit paper · h-index 28
Topics
Handwritten Text Recognition Techniques (94 papers)Image Retrieval and Classification Techniques (40 papers)Image Processing and 3D Reconstruction (35 papers)

In The Last Decade

Fei Yin

134 papers receiving 3.7k citations

Hit Papers

Prototype Augmentation and Self-Supervision for Increment...2021202620222024202150100150200

Peers

Fei Yin
Comparison fields: 5 of 122
  • Computer Vision and Pattern Recognition 3.1k
  • Artificial Intelligence 1.4k
  • Media Technology 1.1k
  • Human-Computer Interaction 203
  • Signal Processing 167
Replace Wankou Yang with:
Wankou Yang China
Gangshan Wu China
Jinye Peng China
Shuang Xu China
Robert Laganière Canada
Liwei Wang China
Kwanghoon Sohn South Korea
Xinmei Tian China
Andrew D. Bagdanov Italy
G. Csurka France
Fei Yin relative to Wankou Yang China Wankou Yang's profile →
Citations per field
00.5×1.5×2.2×
Wankou Yang · 1×
Citations per year

Countries citing papers authored by Fei Yin

Since Specialization
Citations

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

Fields of papers citing papers by Fei Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Yin. A scholar is included among the top collaborators of Fei Yin 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 Yin. Fei Yin 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
#WorkIndexed citations
1 0
2 0
3 0
4 5
5 3
6 3
7 2
8 7
9 11
10 2
11 4
12 13
13 24
14 71
15 57
16 6
17 249
18 8
19 24
20 12

About Fei Yin

Fei Yin is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Instrumentation, having authored 140 papers that have together received 3.9k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (94 papers), Image Retrieval and Classification Techniques (40 papers) and Image Processing and 3D Reconstruction (35 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.1k citations), Media Technology (1.1k citations) and Artificial Intelligence (1.4k citations). Fei Yin has collaborated with scholars based in China, United Kingdom and France. Frequent co-authors include Cheng‐Lin Liu, Xu-Yao Zhang, Qiufeng Wang, Da-Han Wang, Wenhao He, Yan‐Ming Zhang, Hongming Yang, Yichao Wu, Yoshua Bengio and Wei Feng. Their work appears in journals such as Applied Physics Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence and Bioresource Technology.

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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