Alex X. Lee
- Control and Systems Engineering top 10%
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Mechanical Engineering
- Co-authors
- Pieter AbbeelSergey LevineAbhishek GuptaHenry Horng‐Shing LuDylan Hadfield-MenellSandy H. HuangEric TzengFrederik Ebert
- Topics
- Robot Manipulation and Learning (6 papers)Robotics and Sensor-Based Localization (3 papers)Reinforcement Learning in Robotics (3 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionHuman-Computer Interaction
- Journals
- arXiv (Cornell University)International Conference on Learning Representations2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Alex X. Lee
8 papers receiving 170 citations
Peers
Comparison fields: 5 of 36
- Control and Systems Engineering 132
- Biomedical Engineering 56
- Computer Vision and Pattern Recognition 52
- Artificial Intelligence 35
- Mechanical Engineering 35
Countries citing papers authored by Alex X. Lee
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 15 | |
| 3 | Learning Visual Servoing with Deep Features and Fitted Q-Iteration | 15 |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 25 | |
| 7 | 87 | |
| 8 | 24 |
About Alex X. Lee
Alex X. Lee is a scholar working on Control and Systems Engineering, Computer Science Applications and Human-Computer Interaction, having authored 8 papers that have together received 181 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (6 papers), Robotics and Sensor-Based Localization (3 papers) and Reinforcement Learning in Robotics (3 papers). The work is most often cited by research in Control and Systems Engineering (132 citations), Computer Vision and Pattern Recognition (52 citations) and Human-Computer Interaction (13 citations). Alex X. Lee has collaborated with scholars based in United States and United Kingdom. Frequent 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. Their work appears in journals such as arXiv (Cornell University), International Conference on Learning Representations and 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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.