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.
Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking
2023407 citationsJinkun Cao, Jiangmiao Pang et al.profile →
AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting
2021331 citationsYe Yuan, Xinshuo Weng et al.2021 IEEE/CVF International Conference on Computer Vision (ICCV)profile →
3D Multi-Object Tracking: A Baseline and New Evaluation Metrics
2020311 citationsXinshuo Weng, Jianren Wang 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 Xinshuo Weng'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 Xinshuo Weng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinshuo Weng more than expected).
This network shows the impact of papers produced by Xinshuo Weng. 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 Xinshuo Weng. The network helps show where Xinshuo Weng may publish in the future.
Co-authorship network of co-authors of Xinshuo Weng
This figure shows the co-authorship network connecting the top 25 collaborators of Xinshuo Weng.
A scholar is included among the top collaborators of Xinshuo Weng 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 Xinshuo Weng. Xinshuo Weng is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Weng, Xinshuo, Jianren Wang, David Held, & Kris Kitani. (2020). 3D Multi-Object Tracking: A Baseline and New Evaluation Metrics. 10359–10366.311 indexed citations breakdown →
Weng, Xinshuo & Kris Kitani. (2019). Learning Spatio-Temporal Features with Two-Stream Deep 3D CNNs for Lipreading.. British Machine Vision Conference. 269.8 indexed citations
18.
Weng, Xinshuo & Kris Kitani. (2019). A Baseline for 3D Multi-Object Tracking. arXiv (Cornell University).40 indexed citations
19.
Weng, Xinshuo, et al.. (2019). GroundNet. 2170–2178.11 indexed citations
20.
Weng, Xinshuo, et al.. (2018). GroundNet: Segmentation-Aware Monocular Ground Plane Estimation with Geometric Consistency.. arXiv (Cornell University).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.