Xi Yin

5.5k total citations · 1 hit paper
27 papers, 2.0k citations indexed

About

Xi Yin is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Xi Yin has authored 27 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 7 papers in Signal Processing and 6 papers in Artificial Intelligence. Recurrent topics in Xi Yin's work include Face recognition and analysis (7 papers), Face and Expression Recognition (7 papers) and Biometric Identification and Security (5 papers). Xi Yin is often cited by papers focused on Face recognition and analysis (7 papers), Face and Expression Recognition (7 papers) and Biometric Identification and Security (5 papers). Xi Yin collaborates with scholars based in United States, China and United Kingdom. Xi Yin's co-authors include Xiaoming Liu, Luan Tran, Kihyuk Sohn, Yu Xiang, Manmohan Chandraker, Garrick Brazil, David Kramer, Jin Chen, Amin Jourabloo and Hanno Scharr and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Journal of Biomedical and Health Informatics and Machine Vision and Applications.

In The Last Decade

Xi Yin

26 papers receiving 1.9k citations

Hit Papers

Disentangled Representati... 2017 2026 2020 2023 2017 200 400 600
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.

  1. Disentangled Representation Learning GAN for Pose-Invariant Face Recognition
    2017 611 citations Luan Tran, Xi Yin et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xi Yin United States 18 1.5k 422 336 282 168 27 2.0k
Bohan Zhuang Australia 19 1.1k 0.7× 648 1.5× 44 0.1× 161 0.6× 103 0.6× 42 1.5k
Pankaj Kumar India 22 1.1k 0.8× 336 0.8× 322 1.0× 110 0.4× 29 0.2× 129 1.6k
Alessandro L. Koerich Brazil 26 1.2k 0.8× 437 1.0× 623 1.9× 37 0.1× 65 0.4× 112 1.9k
Aruni RoyChowdhury United States 6 1.2k 0.8× 640 1.5× 71 0.2× 63 0.2× 34 0.2× 6 1.6k
Heliang Zheng China 8 1.6k 1.1× 975 2.3× 47 0.1× 87 0.3× 46 0.3× 13 2.1k
Deming Chen United States 8 923 0.6× 643 1.5× 63 0.2× 64 0.2× 35 0.2× 12 1.3k
Yajun Chen China 17 614 0.4× 132 0.3× 59 0.2× 223 0.8× 65 0.4× 51 1.1k
Andrew Howard United States 8 539 0.4× 493 1.2× 126 0.4× 48 0.2× 30 0.2× 16 1.0k
Ivan Krasin United States 5 1.2k 0.8× 808 1.9× 69 0.2× 50 0.2× 36 0.2× 5 1.8k

Countries citing papers authored by Xi Yin

Since Specialization
Citations

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

Fields of papers citing papers by Xi Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xi Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Xi Yin. A scholar is included among the top collaborators of Xi 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 Xi Yin. Xi 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
1.
Yin, Xi, et al.. (2023). Reverse Engineering of Generative Models: Inferring Model Hyperparameters From Generated Images. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 15477–15493. 28 indexed citations
2.
Hu, Xiaowei, Xi Yin, Kevin Lin, et al.. (2021). VIVO: Visual Vocabulary Pre-Training for Novel Object Captioning. Proceedings of the AAAI Conference on Artificial Intelligence. 35(2). 1575–1583. 35 indexed citations
3.
Huang, Jing, Guan Pang, Kevin J Liang, et al.. (2021). A Multiplexed Network for End-to-End, Multilingual OCR. 4545–4555. 24 indexed citations
4.
Yang, Zhengyuan, Yijuan Lu, Jianfeng Wang, et al.. (2021). TAP: Text-Aware Pre-training for Text-VQA and Text-Caption. 8747–8757. 64 indexed citations
5.
Hu, Xiaowei, Xi Yin, Kevin Lin, et al.. (2020). VIVO: Surpassing Human Performance in Novel Object Captioning with Visual Vocabulary Pre-Training.. 27 indexed citations
6.
Tran, Luan, Xi Yin, & Xiaoming Liu. (2018). Representation Learning by Rotating Your Faces. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(12). 3007–3021. 107 indexed citations
7.
Brazil, Garrick, Xi Yin, & Xiaoming Liu. (2017). Illuminating Pedestrians via Simultaneous Detection and Segmentation. 4960–4969. 195 indexed citations
8.
Tran, Luan, Xi Yin, & Xiaoming Liu. (2017). Disentangled Representation Learning GAN for Pose-Invariant Face Recognition. 1283–1292. 611 indexed citations breakdown →
9.
Yin, Xi & Xiaoming Liu. (2017). Multi-Task Convolutional Neural Network for Face Recognition.. arXiv (Cornell University). 7 indexed citations
10.
Yin, Xi, Yu Xiang, Kihyuk Sohn, Xiaoming Liu, & Manmohan Chandraker. (2017). Towards Large-Pose Face Frontalization in the Wild. 4010–4019. 215 indexed citations
11.
Yin, Xi, Xiaoming Liu, Jin Chen, & David Kramer. (2017). Joint Multi-Leaf Segmentation, Alignment, and Tracking for Fluorescence Plant Videos. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(6). 1411–1423. 35 indexed citations
12.
Sun, Degang, Di Wei, Ning Zhang, Zhiqiang Lv, & Xi Yin. (2016). Network transmission of hidden data using smartphones based on compromising emanations. IEEE Conference Proceedings. 2016. 193. 1 indexed citations
13.
Sun, Degang, Di Wei, Ning Zhang, Zhiqiang Lv, & Xi Yin. (2016). Network transmission of hidden data using smartphones based on compromising emanations. 4. 190–193. 3 indexed citations
14.
Scharr, Hanno, Massimo Minervini, Andrew P. French, et al.. (2015). Leaf segmentation in plant phenotyping: a collation study. Machine Vision and Applications. 27(4). 585–606. 195 indexed citations
15.
Yin, Xi, Binxing Fang, Shuyuan Jin, et al.. (2015). Keep all mobile users′ whereabouts secure: a radio frequency identification protocol anti‐tracking in 5G. International Journal of Communication Systems. 29(16). 2375–2387. 5 indexed citations
16.
17.
Jourabloo, Amin, Xi Yin, & Xiaoming Liu. (2015). Attribute preserved face de-identification. 278–285. 60 indexed citations
18.
Yin, Xi, et al.. (2014). The Research and Application of USB Interface in the Design of FPGA. Applied Mechanics and Materials. 496-500. 1857–1860.
19.
Yin, Xi, Xiaoming Liu, Jin Chen, & David Kramer. (2014). Multi-leaf tracking from fluorescence plant videos. 408–412. 24 indexed citations
20.
Yin, Xi, Zhulin An, Yongjun Xu, & Hua Long. (2011). TPOT: A Two-Party Privacy-Preserving Ownership Transfer Protocol for RFID Tags. 34. 1–5. 2 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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