Fei Yin

7.3k total citations · 1 hit paper
140 papers, 3.9k citations indexed

About

Fei Yin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Fei Yin has authored 140 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Computer Vision and Pattern Recognition, 44 papers in Artificial Intelligence and 27 papers in Media Technology. Recurrent topics in Fei Yin's work include Handwritten Text Recognition Techniques (94 papers), Image Retrieval and Classification Techniques (40 papers) and Image Processing and 3D Reconstruction (35 papers). Fei Yin is often cited by papers focused on Handwritten Text Recognition Techniques (94 papers), Image Retrieval and Classification Techniques (40 papers) and Image Processing and 3D Reconstruction (35 papers). Fei Yin collaborates with scholars based in China, United Kingdom and France. Fei Yin's 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 and has published in prestigious journals such as Applied Physics Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence and Bioresource Technology.

In The Last Decade

Fei Yin

134 papers receiving 3.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Prototype Augmentation and Self-Supervision for Incremental Learning

2021 213 citations Xu-Yao Zhang, Fei Yin et al. profile →

Peers

Fei Yin

CVPR

AI

MT

HI

SP

Gangshan Wu China

Xu-Yao Zhang China

Andrew D. Bagdanov Italy

Shuang Xu China

G. Csurka France

Michael J. Swain United States

Palaiahnakote Shivakumara Malaysia

Wankou Yang China

Jinye Peng China

Liwei Wang China

Gangshan Wu China

Fei Yin

2.9k ×0.9

CVPR

882 ×0.6

AI

518 ×0.5

MT

200 ×1.0

HI

111 ×0.7

SP

Citations per year, relative to Fei Yin Fei Yin (= 1×) peers Gangshan Wu

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Zhang, Duzhen, Zhongzhi Li, Mingliang Zhang, et al.. (2025). From System 1 to System 2: A Survey of Reasoning Large Language Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. 48(3). 3335–3354.

2.

Shen, Yu, Yongjun Chen, Fei Yin, et al.. (2025). Iridectomy combined with posterior approach anterior chamber gas injection technique: a novel technique for the treatment of extensive Descemet’s membrane detachment. Eye and Vision. 12(1). 11–11.

3.

Li, Zhongzhi, et al.. (2025). Mv-Math: Evaluating Multimodal Math Reasoning in Multi-Visual Contexts. 19541–19551.

4.

Yu, Mingming, Heng Zhang, Fei Yin, & Cheng‐Lin Liu. (2024). An approach for handwritten Chinese text recognition unifying character segmentation and recognition. Pattern Recognition. 151. 110373–110373. 5 indexed citations

5.

Yang, Yuting, et al.. (2023). DyGAT: Dynamic stroke classification of online handwritten documents and sketches. Pattern Recognition. 141. 109564–109564. 3 indexed citations

6.

Liu, Jingyu, Yan‐Ming Zhang, Fei Yin, & Cheng‐Lin Liu. (2023). Transformer-based stroke relation encoding for online handwriting and sketches. Pattern Recognition. 148. 110131–110131. 3 indexed citations

7.

Feng, Wei, et al.. (2023). Video Text Detection With Robust Feature Representation. IEEE Transactions on Circuits and Systems for Video Technology. 34(6). 4407–4420. 2 indexed citations

8.

Yin, Fei, Wei Feng, Xudong Yan, et al.. (2023). Social Relation Reasoning Based on Triangular Constraints. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 737–745. 7 indexed citations

9.

Zhang, Mingliang, Fei Yin, & Cheng‐Lin Liu. (2023). A Multi-Modal Neural Geometric Solver with Textual Clauses Parsed from Diagram. 3374–3382. 11 indexed citations

10.

Liu, Cheng‐Lin, Lianwen Jin, Xiang Bai, Xiaohui Li, & Fei Yin. (2023). 文档智能分析与识别前沿：回顾与展望. Journal of Image and Graphics. 28(8). 2223–2252. 2 indexed citations

11.

Feng, Wei, et al.. (2023). SignParser: An End-to-End Framework for Traffic Sign Understanding. International Journal of Computer Vision. 132(3). 805–821. 4 indexed citations

12.

Feng, Wei, et al.. (2022). Mixed-Supervised Scene Text Detection With Expectation-Maximization Algorithm. IEEE Transactions on Image Processing. 31. 5513–5528. 13 indexed citations

13.

Zhang, Xu-Yao, et al.. (2022). Decision-Based Adversarial Attack With Frequency Mixup. IEEE Transactions on Information Forensics and Security. 17. 1038–1052. 24 indexed citations

14.

Xu, Xin, Haiyang Li, Fei Yin, et al.. (2020). Wheat ear counting using K-means clustering segmentation and convolutional neural network. Plant Methods. 16(1). 106–106. 71 indexed citations

15.

Yin, Fei, et al.. (2020). Handwritten Mathematical Expression Recognition via Paired Adversarial Learning. International Journal of Computer Vision. 128(10-11). 2386–2401. 57 indexed citations

16.

Wang, Cong, Fei Yin, & Cheng‐Lin Liu. (2018). Memory-Augmented Attention Model for Scene Text Recognition. 62–67. 6 indexed citations

17.

Zhang, Xu-Yao, Fei Yin, Yan‐Ming Zhang, Cheng‐Lin Liu, & Yoshua Bengio. (2017). Drawing and Recognizing Chinese Characters with Recurrent Neural Network. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(4). 849–862. 249 indexed citations

18.

Wang, Cong, Fei Yin, & Cheng‐Lin Liu. (2017). Scene Text Detection with Novel Superpixel Based Character Candidate Extraction. 929–934. 8 indexed citations

19.

Bai, Bo, et al.. (2013). Scene Text Localization Using Gradient Local Correlation. 1380–1384. 24 indexed citations

20.

Wong, Damon Wing Kee, et al.. (2010). Learning-based approach for the automatic detection of the optic disc in digital retinal fundus photographs. PubMed. 2010. 5355–5358. 12 indexed citations

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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