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.
Image Super-Resolution Using Deep Convolutional Networks
20156.4k citationsChao Dong, Chen Change Loy et al.IEEE Transactions on Pattern Analysis and Machine Intelligenceprofile →
Deep Learning Face Attributes in the Wild
20153.9k citationsPing Luo, Xiaogang Wang et al.profile →
Guided Image Filtering
20123.9k citationsKaiming He, Xiaoou Tang et al.IEEE Transactions on Pattern Analysis and Machine Intelligenceprofile →
3D ShapeNets: A deep representation for volumetric shapes
20152.7k citationsZhirong Wu, Shuran Song et al.Zenodo (CERN European Organization for Nuclear Research)profile →
Deep Learning Face Representation from Predicting 10,000 Classes
20141.4k citationsXiaogang Wang, Xiaoou Tang et al.profile →
Learning to Detect a Salient Object
20101.3k citationsXiaoou Tang et al.IEEE Transactions on Pattern Analysis and Machine Intelligenceprofile →
Deep Learning Face Representation by Joint Identification-Verification
20141.2k citationsXiaogang Wang, Xiaoou Tang et al.arXiv (Cornell University)profile →
DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations
20161.0k citationsPing Luo, Xiaogang Wang et al.profile →
Deep Convolutional Network Cascade for Facial Point Detection
2013893 citationsXiaogang Wang, Xiaoou Tang et al.profile →
Spatial as Deep: Spatial CNN for Traffic Scene Understanding
2018693 citationsPing Luo, Xiaogang Wang et al.profile →
This map shows the geographic impact of Xiaoou Tang'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 Xiaoou Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoou Tang more than expected).
This network shows the impact of papers produced by Xiaoou Tang. 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 Xiaoou Tang. The network helps show where Xiaoou Tang may publish in the future.
Co-authorship network of co-authors of Xiaoou Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoou Tang.
A scholar is included among the top collaborators of Xiaoou Tang 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 Xiaoou Tang. Xiaoou Tang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Shen, Yujun, Jinjin Gu, Xiaoou Tang, & Bolei Zhou. (2020). Interpreting the Latent Space of GANs for Semantic Face Editing. 9240–9249.562 indexed citations breakdown →
Zhao, Haiyu, Maoqing Tian, Shuyang Sun, et al.. (2017). Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusion. 907–915.615 indexed citations breakdown →
8.
Huang, Chen, Chen Change Loy, & Xiaoou Tang. (2016). Local similarity-aware deep feature embedding. Neural Information Processing Systems. 29. 1270–1278.46 indexed citations
9.
Wu, Zhirong, Shuran Song, Aditya Khosla, et al.. (2015). 3D ShapeNets: A deep representation for volumetric shapes. Zenodo (CERN European Organization for Nuclear Research). 1912–1920.2728 indexed citations breakdown →
10.
Tian, Yonglong, Ping Luo, Xiaogang Wang, & Xiaoou Tang. (2015). Deep Learning Strong Parts for Pedestrian Detection. 1904–1912.376 indexed citations breakdown →
11.
Dong, Chao, Chen Change Loy, Kaiming He, & Xiaoou Tang. (2015). Image Super-Resolution Using Deep Convolutional Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 38(2). 295–307.6399 indexed citations breakdown →
12.
Wu, Zhirong, Shuran Song, Aditya Khosla, Xiaoou Tang, & Jianxiong Xiao. (2014). 3D ShapeNets for 2.5D Object Recognition and Next-Best-View Prediction. arXiv (Cornell University).52 indexed citations
13.
Xiong, Yuanjun, Wei Liu, Deli Zhao, & Xiaoou Tang. (2014). Zeta Hull Pursuits: Learning Nonconvex Data Hulls. neural information processing systems. 27. 46–54.2 indexed citations
Zhao, Deli & Xiaoou Tang. (2008). Cyclizing Clusters via Zeta Function of a Graph. Neural Information Processing Systems. 21. 1953–1960.20 indexed citations
Wang, Huan, Shuicheng Yan, Thomas S. Huang, & Xiaoou Tang. (2007). A convergent solution to tensor subspace learning. International Joint Conference on Artificial Intelligence. 629–634.14 indexed citations
Tang, Xiaoou, Feng Lin, Scott Samson, & Andrew Remsen. (2003). Feature Extraction for Binary Plankton Image Classification.. 702–707.2 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.