Justin Lin

571 total citations
6 papers, 315 citations indexed

About

Justin Lin is a scholar working on Cognitive Neuroscience, Control and Systems Engineering and Ophthalmology. According to data from OpenAlex, Justin Lin has authored 6 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cognitive Neuroscience, 2 papers in Control and Systems Engineering and 2 papers in Ophthalmology. Recurrent topics in Justin Lin's work include Tactile and Sensory Interactions (3 papers), Muscle activation and electromyography studies (2 papers) and Robot Manipulation and Learning (2 papers). Justin Lin is often cited by papers focused on Tactile and Sensory Interactions (3 papers), Muscle activation and electromyography studies (2 papers) and Robot Manipulation and Learning (2 papers). Justin Lin collaborates with scholars based in United States. Justin Lin's co-authors include Sergey Levine, Roberto Calandra, Wenzhen Yuan, Edward H. Adelson, Andrew Owens, Jitendra Malik, Dinesh Jayaraman, Julia Fukuyama, Xinming Li and Lu Niu and has published in prestigious journals such as PLoS Computational Biology and IEEE Robotics and Automation Letters.

In The Last Decade

Justin Lin

5 papers receiving 310 citations

Peers

Justin Lin

CSE

BE

CN

CVPR

HI

Thiago Eustaquio Alves de Oliveira Canada

Andreas ten Pas United States

Carmelo Sferrazza Switzerland

J. Rogelio Guadarrama-Olvera Germany

Pascal Weiner Germany

Yukiko Hoshino Japan

Kunpeng Yao Switzerland

Mitsuru JINDAI Japan

Daniel Fernandes Gomes United Kingdom

Chiharu Ishii Japan

Thiago Eustaquio Alves de Oliveira Canada

Justin Lin

109 ×0.5

CSE

177 ×0.9

BE

186 ×1.0

CN

34 ×0.8

CVPR

54 ×1.4

HI

Citations per year, relative to Justin Lin Justin Lin (= 1×) peers Thiago Eustaquio Alves de Oliveira

Countries citing papers authored by Justin Lin

Since Specialization

Citations

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

Fields of papers citing papers by Justin Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin Lin

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

All Works

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6 of 6 papers shown

1.

Lin, Justin & Julia Fukuyama. (2024). Calibrating dimension reduction hyperparameters in the presence of noise. PLoS Computational Biology. 20(9). e1012427–e1012427. 3 indexed citations

2.

Xu, Benjamin Y., Xinming Li, Lu Niu, et al.. (2022). An imaging informatics based system with feature detection of AS-optical coherence tomography images for primary angle closure disease. 16–16.

3.

Lin, Justin, Roberto Calandra, & Sergey Levine. (2019). Learning to Identify Object Instances by Touch: Tactile Recognition via Multimodal Matching. 3644–3650. 40 indexed citations

4.

Lin, Justin, et al.. (2019). Fundus Analysis Software Tool (FAST): development of software integrating CAD with the EHR for the longitudinal study of fundus images. 1. 5–5. 1 indexed citations

5.

Calandra, Roberto, Andrew Owens, Dinesh Jayaraman, et al.. (2018). More Than a Feeling: Learning to Grasp and Regrasp Using Vision and Touch. IEEE Robotics and Automation Letters. 3(4). 3300–3307. 235 indexed citations

6.

Calandra, Roberto, Andrew Owens, Wenzhen Yuan, et al.. (2017). The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?. 314–323. 36 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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