J. Yin

819 total citations
5 papers, 22 citations indexed

About

J. Yin is a scholar working on Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Astronomy and Astrophysics. According to data from OpenAlex, J. Yin has authored 5 papers receiving a total of 22 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Cardiology and Cardiovascular Medicine and 1 paper in Astronomy and Astrophysics. Recurrent topics in J. Yin's work include Adaptive optics and wavefront sensing (1 paper), ECG Monitoring and Analysis (1 paper) and Astronomy and Astrophysical Research (1 paper). J. Yin is often cited by papers focused on Adaptive optics and wavefront sensing (1 paper), ECG Monitoring and Analysis (1 paper) and Astronomy and Astrophysical Research (1 paper). J. Yin collaborates with scholars based in United States and China. J. Yin's co-authors include Douglas P. Finkbeiner, Daniel J. Eisenstein, C. W. Stubbs, Shengyan Zhou, Yongxin Zhu, Chaojun Wang, Jiang Jiang, Guoguang Rong, Pavlos Protopapas and Hongyan Wu and has published in prestigious journals such as The Astronomical Journal, Publications of the Astronomical Society of the Pacific and International Journal of Computers Communications & Control.

In The Last Decade

J. Yin

4 papers receiving 22 citations

Peers

J. Yin
J. H. Yin China
S. H. Zhu China
George Djorgovski United States
S. Jakobsen United Kingdom
Martijn van Veelen Netherlands
Kannappan Palaniappan United States
E. S. Saunders United Kingdom
J. Yin
Citations per year, relative to J. Yin J. Yin (= 1×) peers José Lorenzo Alvarez

Countries citing papers authored by J. Yin

Since Specialization
Citations

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

Fields of papers citing papers by J. Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Yin

This figure shows the co-authorship network connecting the top 25 collaborators of J. Yin. A scholar is included among the top collaborators of J. Yin 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 J. Yin. J. Yin 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.
Wu, Hongyan, et al.. (2025). AI-Driven Risk Control for Health Insurance Fund Management: A Data-Driven Approach. International Journal of Computers Communications & Control. 20(2). 1 indexed citations
2.
Yin, J., Daniel J. Eisenstein, Douglas P. Finkbeiner, & Pavlos Protopapas. (2022). A Conditional Autoencoder for Galaxy Photometric Parameter Estimation. Publications of the Astronomical Society of the Pacific. 134(1034). 44502–44502.
3.
Yin, J., et al.. (2021). Active Optical Control with Machine Learning: A Proof of Concept for the Vera C. Rubin Observatory. The Astronomical Journal. 161(5). 216–216. 8 indexed citations
4.
Yin, J., et al.. (2019). A Closer Look at Disentangling in β-VAE. 888–895. 9 indexed citations
5.
Zhou, Shengyan, Yongxin Zhu, Chaojun Wang, et al.. (2014). An FPGA-Assisted Cloud Framework for Massive ECG Signal Processing. 38. 208–213. 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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