Yan Duan

106 total papers · 11.2k total citations
62 papers, 1.8k citations indexed

About

Yan Duan is a scholar working on Molecular Biology, Artificial Intelligence and Astronomy and Astrophysics. According to data from OpenAlex, Yan Duan has authored 62 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 14 papers in Artificial Intelligence and 9 papers in Astronomy and Astrophysics. Recurrent topics in Yan Duan's work include Astro and Planetary Science (8 papers), Stellar, planetary, and galactic studies (8 papers) and Reinforcement Learning in Robotics (7 papers). Yan Duan is often cited by papers focused on Astro and Planetary Science (8 papers), Stellar, planetary, and galactic studies (8 papers) and Reinforcement Learning in Robotics (7 papers). Yan Duan collaborates with scholars based in China, United States and Belgium. Yan Duan's co-authors include Pieter Abbeel, John Schulman, Ken Goldberg, Sachin Patil, Alex Pui‐Wai Lee, Rein Houthooft, Jonathan Ho, Jia Pan, Xi Chen and Ilya Sutskever and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and The Plant Cell.

In The Last Decade

Yan Duan

60 papers receiving 1.7k citations

Hit Papers

Motion planning with sequ... 2014 2026 2018 2022 2014 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yan Duan 685 682 462 226 211 62 1.8k
Hong Qu 742 1.1× 542 0.8× 196 0.4× 211 0.9× 230 1.1× 131 2.3k
Geoff Gordon 962 1.4× 744 1.1× 375 0.8× 399 1.8× 303 1.4× 44 1.8k
Yalou Huang 1.1k 1.6× 516 0.8× 168 0.4× 126 0.6× 118 0.6× 111 1.9k
Shixiang Gu 1.0k 1.5× 386 0.6× 505 1.1× 97 0.4× 154 0.7× 26 1.6k
Jun Tian 1.1k 1.6× 349 0.5× 133 0.3× 143 0.6× 85 0.4× 74 1.9k
Iyad Abu Doush 1.1k 1.5× 355 0.5× 204 0.4× 58 0.3× 250 1.2× 104 2.3k
Bing Xiao 253 0.4× 416 0.6× 473 1.0× 256 1.1× 234 1.1× 105 1.9k
David Meger 691 1.0× 565 0.8× 337 0.7× 397 1.8× 207 1.0× 50 1.7k
Moshe Kam 672 1.0× 390 0.6× 387 0.8× 284 1.3× 683 3.2× 186 2.1k
Jeremy Wyatt 1.0k 1.5× 597 0.9× 474 1.0× 141 0.6× 87 0.4× 79 2.0k

Countries citing papers authored by Yan Duan

Since Specialization
Citations

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).

Fields of papers citing papers by Yan Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

All Works

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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.

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