Jasmine Hsu

2.3k total citations · 1 hit paper
5 papers, 379 citations indexed

About

Jasmine Hsu is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Jasmine Hsu has authored 5 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Control and Systems Engineering and 1 paper in Artificial Intelligence. Recurrent topics in Jasmine Hsu's work include Human Pose and Action Recognition (4 papers), Advanced Vision and Imaging (3 papers) and Robot Manipulation and Learning (2 papers). Jasmine Hsu is often cited by papers focused on Human Pose and Action Recognition (4 papers), Advanced Vision and Imaging (3 papers) and Robot Manipulation and Learning (2 papers). Jasmine Hsu collaborates with scholars based in United States. Jasmine Hsu's co-authors include Corey Lynch, Pierre Sermanet, Sergey Levine, Stefan Schaal, Yevgen Chebotar, Eric Jang, Yunfei Bai, Mohi Khansari, Abhinav Gupta and Xinchen Yan and has published in prestigious journals such as arXiv (Cornell University).

In The Last Decade

Jasmine Hsu

5 papers receiving 361 citations

Hit Papers

Time-Contrastive Networks: Self-Supervised Learning from ... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jasmine Hsu United States 4 216 209 122 27 24 5 379
Corey Lynch United States 8 303 1.4× 315 1.5× 180 1.5× 35 1.3× 29 1.2× 12 552
Ronghua Luo China 9 136 0.6× 187 0.9× 79 0.6× 40 1.5× 56 2.3× 32 361
Shiqi Li China 11 163 0.8× 126 0.6× 57 0.5× 28 1.0× 23 1.0× 40 366
Dongdong Hou China 8 81 0.4× 83 0.4× 48 0.4× 18 0.7× 24 1.0× 22 258
Debidatta Dwibedi United States 7 245 1.1× 258 1.2× 47 0.4× 25 0.9× 6 0.3× 9 416
Yifei Huang Japan 10 296 1.4× 213 1.0× 45 0.4× 34 1.3× 9 0.4× 32 414
Rongjie Huang China 11 123 0.6× 217 1.0× 51 0.4× 28 1.0× 6 0.3× 40 432
Xinyang Geng United States 5 346 1.6× 85 0.4× 50 0.4× 25 0.9× 17 0.7× 7 492
Yitong Li China 8 253 1.2× 93 0.4× 33 0.3× 12 0.4× 35 1.5× 26 384
Rogerio Bonatti United States 6 149 0.7× 147 0.7× 89 0.7× 17 0.6× 54 2.3× 12 327

Countries citing papers authored by Jasmine Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Jasmine Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jasmine Hsu

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

All Works

5 of 5 papers shown
1.
Choromański, Krzysztof, Aldo Pacchiano, Jack Parker-Holder, et al.. (2019). When random search is not enough: Sample-Efficient and Noise-Robust Blackbox Optimization of RL Policies. arXiv (Cornell University). 1 indexed citations
2.
Sermanet, Pierre, Corey Lynch, Yevgen Chebotar, et al.. (2018). Time-Contrastive Networks: Self-Supervised Learning from Video. 1134–1141. 305 indexed citations breakdown →
3.
Sermanet, Pierre, Corey Lynch, Jasmine Hsu, & Sergey Levine. (2017). Time-Contrastive Networks: Self-Supervised Learning from Multi-view Observation. 486–487. 63 indexed citations
4.
Sermanet, Pierre, Corey Lynch, Jasmine Hsu, & Sergey Levine. (2017). Time-Contrastive Networks: Self-Supervised Learning from Multi-View Observation. 6 indexed citations
5.
Yan, Xinchen, Mohi Khansari, Yunfei Bai, et al.. (2017). Learning Grasping Interaction with Geometry-aware 3D Representations.. 4 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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