Kexin Yi

571 total citations
5 papers, 95 citations indexed

About

Kexin Yi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Kexin Yi has authored 5 papers receiving a total of 95 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Control and Systems Engineering. Recurrent topics in Kexin Yi's work include Multimodal Machine Learning Applications (2 papers), Human Pose and Action Recognition (2 papers) and Imbalanced Data Classification Techniques (1 paper). Kexin Yi is often cited by papers focused on Multimodal Machine Learning Applications (2 papers), Human Pose and Action Recognition (2 papers) and Imbalanced Data Classification Techniques (1 paper). Kexin Yi collaborates with scholars based in United States and China. Kexin Yi's co-authors include Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan, Jiajun Wu, Pushmeet Kohli, Torsten Karzig, Ying Li, Zhonghai Wu, Yunzhu Li and Daniel Yamins and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Physical review. B. and arXiv (Cornell University).

In The Last Decade

Kexin Yi

5 papers receiving 87 citations

Peers

Countries citing papers authored by Kexin Yi

Since Specialization

Citations

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

Fields of papers citing papers by Kexin Yi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kexin Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Kexin Yi. A scholar is included among the top collaborators of Kexin Yi 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 Kexin Yi. Kexin Yi 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:

5 of 5 papers shown

#	Work	Indexed citations
1	Compositional Physical Reasoning of Objects and Events From Videos 2025 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Zhenfang Chen, (unknown), Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan	1
2	Visual Grounding of Learned Physical Models 2020 ·Yunzhu Li, (unknown), Kexin Yi, Daniel M. Bear, Daniel Yamins, Jiajun Wu, Josh Tenenbaum, Antonio Torralba	3
3	Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding 2018 ·arXiv (Cornell University) ·Kexin Yi, Jiajun Wu, Chuang Gan, Antonio Torralba, Pushmeet Kohli, Joshua B. Tenenbaum	65
4	Synthetic Data Approach for Classification and Regression 2018 ·(unknown), Ying Li, Kexin Yi, Zhonghai Wu	8
5	Topological polaritons from photonic Dirac cones coupled to excitons in a magnetic field 2016 ·Physical review. B. ·Kexin Yi, Torsten Karzig	18

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.

Explore authors with similar magnitude of impact