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.
VNect
2017690 citationsDushyant Mehta, Oleksandr Sotnychenko et al.ACM Transactions on Graphicsprofile →
Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision
2017609 citationsDushyant Mehta, Helge Rhodin et al.profile →
Deep video portraits
2018344 citationsHyeongwoo Kim, Weipeng Xu et al.ACM Transactions on Graphicsprofile →
Video Based Reconstruction of 3D People Models
2018276 citationsThiemo Alldieck, Marcus Magnor et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Weipeng Xu'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 Weipeng Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weipeng Xu more than expected).
This network shows the impact of papers produced by Weipeng Xu. 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 Weipeng Xu. The network helps show where Weipeng Xu may publish in the future.
Co-authorship network of co-authors of Weipeng Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Weipeng Xu.
A scholar is included among the top collaborators of Weipeng Xu 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 Weipeng Xu. Weipeng Xu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Mehta, Dushyant, Oleksandr Sotnychenko, Franziska Mueller, et al.. (2019). XNect: Real-time Multi-person 3D Human Pose Estimation with a Single RGB Camera. MPG.PuRe (Max Planck Society).14 indexed citations
Liu, Lingjie, Weipeng Xu, Michael Zollhöfer, et al.. (2018). Neural Animation and Reenactment of Human Actor Videos. MPG.PuRe (Max Planck Society).7 indexed citations
14.
Alldieck, Thiemo, Marcus Magnor, Weipeng Xu, Christian Theobalt, & Gerard Pons‐Moll. (2018). Video Based Reconstruction of 3D People Models. 8387–8397.276 indexed citations breakdown →
Mehta, Dushyant, Helge Rhodin, Dan Casas, et al.. (2017). Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision. 506–516.609 indexed citations breakdown →
17.
Mehta, Dushyant, Helge Rhodin, Dan Casas, et al.. (2016). Monocular 3D Human Pose Estimation Using Transfer Learning and Improved CNN Supervision. arXiv (Cornell University).17 indexed citations
Xu, Weipeng, et al.. (2013). Depth-based segmentation — A review. 2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT). 1–9.1 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.