Johnny Lee

548 total citations
6 papers, 370 citations indexed

About

Johnny Lee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Johnny Lee has authored 6 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Control and Systems Engineering. Recurrent topics in Johnny Lee's work include Software Engineering Research (2 papers), Robot Manipulation and Learning (2 papers) and Visual and Cognitive Learning Processes (1 paper). Johnny Lee is often cited by papers focused on Software Engineering Research (2 papers), Robot Manipulation and Learning (2 papers) and Visual and Cognitive Learning Processes (1 paper). Johnny Lee collaborates with scholars based in United States, Switzerland and Japan. Johnny Lee's co-authors include Andy Zeng, Thomas Funkhouser, Shuran Song, Jodi Forlizzi, Jie Yang, Sara Kiesler, James Fogarty, Daniel Avrahami, Scott E. Hudson and Christopher G. Atkeson and has published in prestigious journals such as IEEE Robotics and Automation Letters.

In The Last Decade

Johnny Lee

5 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Johnny Lee United States	5	135	119	118	107	75	6	370
Rosalee Wolfe United States	12	24 0.2×	233 2.0×	157 1.3×	108 1.0×	50 0.7×	62	585
C. Schmandt United States	12	47 0.3×	218 1.8×	181 1.5×	22 0.2×	113 1.5×	27	442
Brian Clarkson United States	10	22 0.2×	84 0.7×	316 2.7×	28 0.3×	124 1.7×	13	504
Johnny C. Lee United States	7	138 1.0×	440 3.7×	294 2.5×	25 0.2×	48 0.6×	7	683
Gabriel Reyes United States	12	28 0.2×	263 2.2×	121 1.0×	20 0.2×	28 0.4×	23	415
Thea Turner United States	11	41 0.3×	115 1.0×	147 1.2×	9 0.1×	45 0.6×	19	407
Kaori Fujinami Japan	10	22 0.2×	139 1.2×	258 2.2×	24 0.2×	20 0.3×	79	409
David M. Weimer United States	9	40 0.3×	85 0.7×	126 1.1×	33 0.3×	38 0.5×	12	337
Jonas Auda Germany	9	44 0.3×	191 1.6×	106 0.9×	9 0.1×	20 0.3×	27	309

Countries citing papers authored by Johnny Lee

Since Specialization

Citations

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

Fields of papers citing papers by Johnny Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johnny Lee

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Qian, Xun, Mark B. Sherwood, Zheng Xu, et al.. (2025). InstructPipe: Generating Visual Blocks Pipelines with Human Instructions and LLMs. 1–22.

2.

Qian, Xun, Zheng Xu, Yinda Zhang, et al.. (2024). Experiencing InstructPipe: Building Multi-modal AI Pipelines via Prompting LLMs and Visual Programming. 1–5. 4 indexed citations

3.

Dogan, Mustafa Doga, Eric J. Gonzalez, Karan Ahuja, et al.. (2024). Augmented Object Intelligence with XR-Objects. 1–15. 19 indexed citations

4.

Song, Shuran, Andy Zeng, Johnny Lee, & Thomas Funkhouser. (2020). Grasping in the Wild: Learning 6DoF Closed-Loop Grasping From Low-Cost Demonstrations. IEEE Robotics and Automation Letters. 5(3). 4978–4985. 115 indexed citations

5.

Levinson, S., et al.. (2004). Automatic language acquisition by an autonomous robot. 4. 2716–2721. 9 indexed citations

6.

Hudson, Scott E., James Fogarty, Christopher G. Atkeson, et al.. (2003). Predicting human interruptibility with sensors. 257–264. 223 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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