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.
Contrastive Clustering
2021402 citationsYunfan Li, Peng Hu et al.profile →
COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction
2021301 citationsYijie Lin, Yuanbiao Gou et al.profile →
Structured AutoEncoders for Subspace Clustering
2018290 citationsXi Peng, Jiashi Feng et al.IEEE Transactions on Image Processingprofile →
All-In-One Image Restoration for Unknown Corruption
2022197 citationsBoyun Li, Peng Hu et al.profile →
You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network
2021185 citationsBoyun Li, Yuanbiao Gou et al.profile →
Dual Contrastive Prediction for Incomplete Multi-View Representation Learning
2022161 citationsYijie Lin, Yuanbiao Gou et al.IEEE Transactions on Pattern Analysis and Machine Intelligenceprofile →
Learning with Twin Noisy Labels for Visible-Infrared Person Re-Identification
2022160 citationsMouxing Yang, Zhenyu Huang et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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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).
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
20 of 20 papers shown
1.
Li, Boyun, Yuanbiao Gou, Wenxin Wang, et al.. (2025). Relationship Quantification of Image Degradations. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(8). 7081–7092.1 indexed citations
Peng, Xi, Shijie Xiao, Jiashi Feng, Wei‐Yun Yau, & Yi Zhang. (2016). Deep subspace clustering with sparsity prior. International Joint Conference on Artificial Intelligence. 1925–1931.120 indexed citations
19.
Peng, Xi, et al.. (2012). Constructing L2-Graph For Subspace Learning and Segmentation. arXiv (Cornell University).7 indexed citations
20.
Peng, Xi. (2001). Experimental Comparison Between PID Control and Friction Compensation Control for a Class of Nonlinear System with Friction. 北京理工大学学报(英文版).
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.