Xi Peng

3.1k total citations
41 papers, 984 citations indexed

About

Xi Peng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Xi Peng has authored 41 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Xi Peng's work include Face recognition and analysis (13 papers), Human Pose and Action Recognition (11 papers) and Domain Adaptation and Few-Shot Learning (9 papers). Xi Peng is often cited by papers focused on Face recognition and analysis (13 papers), Human Pose and Action Recognition (11 papers) and Domain Adaptation and Few-Shot Learning (9 papers). Xi Peng collaborates with scholars based in United States, China and Netherlands. Xi Peng's co-authors include Dimitris Metaxas, L. Zhao, Shaoting Zhang, Mengmeng Ma, Kang Li, Cathy Wu, Jian Ren, Sergey Tulyakov, Xu Xu and Yu Xiang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Biomechanics and International Journal of Computer Vision.

In The Last Decade

Xi Peng

38 papers receiving 960 citations

Peers

Xi Peng

CVPR

AI

SP

BE

HI

Danilo Avola Italy

Abdulhameed Alelaiwi Saudi Arabia

Xiao Gu China

Fédor Moiseev Belgium

Min‐Chun Hu Taiwan

L. Zhao United States

Hongbo Zhang China

Michael Fairhurst United Kingdom

Marília Barandas Portugal

Hongfei Xue United States

Danilo Avola Italy

Xi Peng

614 ×1.0

CVPR

272 ×0.9

AI

54 ×0.5

SP

119 ×1.1

BE

154 ×1.8

HI

Citations per year, relative to Xi Peng Xi Peng (= 1×) peers Danilo Avola

Countries citing papers authored by Xi Peng

Since Specialization

Citations

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

Fields of papers citing papers by Xi Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xi Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Xi Peng. A scholar is included among the top collaborators of Xi Peng 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 Peng. Xi Peng 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.

Liu, Wanli, et al.. (2025). MUNet: A lightweight Mamba-based Under-Display Camera restoration network. Image and Vision Computing. 156. 105486–105486.

2.

Qiao, Fengchun, et al.. (2024). Adaptive Cascading Network for Continual Test-Time Adaptation. 1763–1773.

3.

Li, Yuzhi, Chao Wang, Xi Peng, et al.. (2024). Caffeine’s protective role in dry eye disease and meibomian gland dysfunction: insights from clinical and experimental models. International Immunopharmacology. 146. 113863–113863.

4.

Peng, Xi, Youfan Ye, Kang Xu, et al.. (2023). Ductal Hyperkeratinization and Acinar Renewal Abnormality: New Concepts on Pathogenesis of Meibomian Gland Dysfunction. Current Issues in Molecular Biology. 45(3). 1889–1901. 5 indexed citations

5.

Sha, Mo, et al.. (2023). Adapting Wireless Network Configuration From Simulation to Reality via Deep Learning-Based Domain Adaptation. IEEE/ACM Transactions on Networking. 32(3). 1983–1998. 3 indexed citations

6.

Huang, Sheng, et al.. (2023). Semi-Identical Twins Variational AutoEncoder for Few-Shot Learning. IEEE Transactions on Neural Networks and Learning Systems. 35(7). 9455–9469. 12 indexed citations

7.

Fu, Bin, et al.. (2022). Region-Aware Arbitrary-Shaped Text Detection With Progressive Fusion. IEEE Transactions on Multimedia. 25. 4718–4729. 6 indexed citations

8.

Peng, Xi, et al.. (2022). Out-of-Domain Generalization From a Single Source: An Uncertainty Quantification Approach. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(3). 1775–1787. 22 indexed citations

9.

Sha, Mo, et al.. (2021). Adapting Wireless Mesh Network Configuration from Simulation to Reality via Deep Learning based Domain Adaptation.. Networked Systems Design and Implementation. 887–901. 7 indexed citations

10.

Gou, Yuanbiao, Boyun Li, Zitao Liu, Songfan Yang, & Xi Peng. (2020). CLEARER: Multi-Scale Neural Architecture Search for Image Restoration. Neural Information Processing Systems. 33. 17129–17140. 44 indexed citations

11.

Tang, Zhiqiang, Xi Peng, Kang Li, & Dimitris Metaxas. (2019). Towards Efficient U-Nets: A Coupled and Quantized Approach. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(8). 2038–2050. 38 indexed citations

12.

Zhao, L., Xi Peng, Xun Zhang, et al.. (2019). Cartoonish sketch-based face editing in videos using identity deformation transfer. Computers & Graphics. 79. 58–68. 3 indexed citations

13.

Peng, Xi, et al.. (2019). Predicting 3-D Lower Back Joint Load in Lifting: A Deep Pose Estimation Approach. IEEE Transactions on Human-Machine Systems. 49(1). 85–94. 38 indexed citations

14.

Peng, Xi, Rogério Feris, Xiaoyu Wang, & Dimitris Metaxas. (2018). RED-Net: A Recurrent Encoder–Decoder Network for Video-Based Face Alignment. International Journal of Computer Vision. 126(10). 1103–1119. 11 indexed citations

15.

Peng, Xi, et al.. (2018). A Deep Neural Network-based method for estimation of 3D lifting motions. Journal of Biomechanics. 84. 87–93. 32 indexed citations

16.

Peng, Xi, et al.. (2018). A computer vision based method for 3D posture estimation of symmetrical lifting. Journal of Biomechanics. 69. 40–46. 51 indexed citations

17.

Peng, Xi, Shaoting Zhang, Yang Yu, & Dimitris Metaxas. (2017). Toward Personalized Modeling: Incremental and Ensemble Alignment for Sequential Faces in the Wild. International Journal of Computer Vision. 126(2-4). 184–197. 9 indexed citations

18.

Peng, Xi, Yu Xiang, Kihyuk Sohn, Dimitris Metaxas, & Manmohan Chandraker. (2017). Reconstruction-Based Disentanglement for Pose-Invariant Face Recognition. 1632–1641. 102 indexed citations

19.

Peng, Xi, et al.. (2016). Accelerating magnetic resonance imaging via deep learning. IEEE Conference Proceedings. 2016. 514–517. 2 indexed citations

20.

Liu, Xuejiao, et al.. (2008). Towards a Collaborative and Systematic Approach to Alert Verification. Journal of Software. 3(9). 9 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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