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.
Motion planning with sequential convex optimization and convex collision checking
2014539 citationsJohn Schulman, Yan Duan 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 Yan Duan'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 Yan Duan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Duan more than expected).
This network shows the impact of papers produced by Yan Duan. 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 Yan Duan. The network helps show where Yan Duan may publish in the future.
Co-authorship network of co-authors of Yan Duan
This figure shows the co-authorship network connecting the top 25 collaborators of Yan Duan.
A scholar is included among the top collaborators of Yan Duan 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 Yan Duan. Yan Duan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Liang, Ting, et al.. (2020). FAM46B Promotes Apoptosis and Inhibits Glycolysis of Prostate Cancer Through Inhibition of the MYC-LDHA Axis. SHILAP Revista de lepidopterología.1 indexed citations
5.
Zhang, Suyi, Shi Wei, Wenjing Hu, et al.. (2020). DEP Domain-Containing Protein 1B (DEPDC1B) Promotes Migration and Invasion in Pancreatic Cancer Through the Rac1/PAK1-LIMK1-Cofilin1 Signaling Pathway. SHILAP Revista de lepidopterología.1 indexed citations
6.
Wang, Zhiqiang, et al.. (2020). Bit1 Silencing Enhances the Proliferation, Migration, and Invasion of Glioma Cells Through Activation of the IL-6/STAT3 Pathway. SHILAP Revista de lepidopterología.1 indexed citations
7.
Wu, Cathy, Aravind Rajeswaran, Yan Duan, et al.. (2018). Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines. arXiv (Cornell University).5 indexed citations
Stadie, Bradly C., Ge Yang, Rein Houthooft, et al.. (2018). The Importance of Sampling inMeta-Reinforcement Learning. Neural Information Processing Systems. 31. 9280–9290.3 indexed citations
10.
Duan, Yan, Marcin Andrychowicz, Bradly C. Stadie, et al.. (2017). One-Shot Imitation Learning. Neural Information Processing Systems. 30. 1087–1098.116 indexed citations
11.
Florensa, Carlos, Yan Duan, & Pieter Abbeel. (2016). Stochastic Neural Networks for Hierarchical Reinforcement Learning. International Conference on Learning Representations.14 indexed citations
12.
Houthooft, Rein, Xi Chen, Yan Duan, et al.. (2016). VIME: Variational Information Maximizing Exploration. Ghent University Academic Bibliography (Ghent University). 29. 1109–1117.55 indexed citations
Duan, Yan. (2011). X-Ray Image Enhancement Technology Based on Variable Dose. Nondestructive Testing.3 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.