Alex X. Lee

1.1k total citations
8 papers, 181 citations indexed

About

Alex X. Lee is a scholar working on Control and Systems Engineering, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Alex X. Lee has authored 8 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Control and Systems Engineering, 3 papers in Artificial Intelligence and 3 papers in Aerospace Engineering. Recurrent topics in Alex X. Lee's work include Robot Manipulation and Learning (6 papers), Robotics and Sensor-Based Localization (3 papers) and Reinforcement Learning in Robotics (3 papers). Alex X. Lee is often cited by papers focused on Robot Manipulation and Learning (6 papers), Robotics and Sensor-Based Localization (3 papers) and Reinforcement Learning in Robotics (3 papers). Alex X. Lee collaborates with scholars based in United States and United Kingdom. Alex X. Lee's co-authors include Pieter Abbeel, Sergey Levine, Abhishek Gupta, Henry Horng‐Shing Lu, Dylan Hadfield-Menell, Sandy H. Huang, Eric Tzeng, Frederik Ebert, Chelsea Finn and Sudeep Dasari and has published in prestigious journals such as arXiv (Cornell University), International Conference on Learning Representations and 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

In The Last Decade

Alex X. Lee

8 papers receiving 170 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Alex X. Lee United States	6	132	56	52	35	35	8	181
Priya Sundaresan United States	9	126 1.0×	60 1.1×	58 1.1×	21 0.6×	31 0.9×	11	201
Zhenjia Xu United States	6	154 1.2×	64 1.1×	95 1.8×	62 1.8×	29 0.8×	7	274
Theodoros Stouraitis Germany	9	139 1.1×	68 1.2×	76 1.5×	31 0.9×	53 1.5×	20	220
Ryan Hoque United States	9	133 1.0×	46 0.8×	63 1.2×	35 1.0×	31 0.9×	11	216
Viktor Makoviychuk United Kingdom	8	196 1.5×	61 1.1×	83 1.6×	59 1.7×	33 0.9×	10	260
Riccardo Caccavale Italy	10	144 1.1×	50 0.9×	60 1.2×	57 1.6×	40 1.1×	23	247
Evan Drumwright United States	10	166 1.3×	80 1.4×	79 1.5×	42 1.2×	42 1.2×	29	251
Xuehe Zhang China	10	111 0.8×	135 2.4×	64 1.2×	22 0.6×	51 1.5×	43	264
Lucas Manuelli United States	5	139 1.1×	76 1.4×	106 2.0×	19 0.5×	38 1.1×	7	219
Melrose Roderick United States	2	209 1.6×	123 2.2×	59 1.1×	46 1.3×	34 1.0×	2	225

Countries citing papers authored by Alex X. Lee

Since Specialization

Citations

This map shows the geographic impact of Alex X. Lee'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 Alex X. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex X. Lee more than expected).

Fields of papers citing papers by Alex X. Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alex X. Lee. 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 Alex X. Lee. The network helps show where Alex X. Lee may publish in the future.

Co-authorship network of co-authors of Alex X. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Alex X. Lee. A scholar is included among the top collaborators of Alex X. Lee 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 Alex X. Lee. Alex X. Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Lee, Alex X., Coline Devin, Jost Tobias Springenberg, et al.. (2022). How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 4 indexed citations

Ebert, Frederik, Sudeep Dasari, Alex X. Lee, Sergey Levine, & Chelsea Finn. (2018). Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning. arXiv (Cornell University). 983–993. 15 indexed citations

Lee, Alex X., Sergey Levine, & Pieter Abbeel. (2017). Learning Visual Servoing with Deep Features and Fitted Q-Iteration. International Conference on Learning Representations. 15 indexed citations

Lee, Alex X., et al.. (2015). A non-rigid point and normal registration algorithm with applications to learning from demonstrations. 935–942. 9 indexed citations

Hadfield-Menell, Dylan, Alex X. Lee, Chelsea Finn, et al.. (2015). Beyond lowest-warping cost action selection in trajectory transfer. 1899. 3231–3238. 2 indexed citations

Lee, Alex X., Abhishek Gupta, Henry Horng‐Shing Lu, Sergey Levine, & Pieter Abbeel. (2015). Learning from multiple demonstrations using trajectory-aware non-rigid registration with applications to deformable object manipulation. 5265–5272. 25 indexed citations

Lee, Alex X., Henry Horng‐Shing Lu, Abhishek Gupta, Sergey Levine, & Pieter Abbeel. (2015). Learning force-based manipulation of deformable objects from multiple demonstrations. 177–184. 87 indexed citations

Lee, Alex X., Sandy H. Huang, Dylan Hadfield-Menell, Eric Tzeng, & Pieter Abbeel. (2014). Unifying scene registration and trajectory optimization for learning from demonstrations with application to manipulation of deformable objects. Zenodo (CERN European Organization for Nuclear Research). 571. 4402–4407. 24 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.

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