Junyuan Lin

24 total papers · 419 total citations
10 papers, 32 citations indexed

About

Junyuan Lin is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Junyuan Lin has authored 10 papers receiving a total of 32 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Statistical and Nonlinear Physics and 2 papers in Artificial Intelligence. Recurrent topics in Junyuan Lin's work include Complex Network Analysis Techniques (2 papers), Advanced Graph Neural Networks (2 papers) and Biomedical and Engineering Education (1 paper). Junyuan Lin is often cited by papers focused on Complex Network Analysis Techniques (2 papers), Advanced Graph Neural Networks (2 papers) and Biomedical and Engineering Education (1 paper). Junyuan Lin collaborates with scholars based in United States, United Kingdom and Switzerland. Junyuan Lin's co-authors include Xiaozhe Hu, Ludmil Zikatanov, Benjamin Hescott, Lenore Cowen, Abhay Nath Mishra, Zhengtong Liu, Thuc Duy Le, Andrea L. Bertozzi, Sanjukta Krishnagopal and Sven Bergmann and has published in prestigious journals such as Journal of Medical Internet Research, SIAM Journal on Scientific Computing and Numerical Linear Algebra with Applications.

In The Last Decade

Junyuan Lin

8 papers receiving 30 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Junyuan Lin	12	9	7	7	4	10	32
Soumyabrata Ghosh	7 0.6×	2 0.2×	5 0.7×		3 0.8×	10	29
Kushal Chakrabarti	2 0.2×	3 0.3×	13 1.9×	7 1.0×	7 1.8×	15	40
Amir Niknejad	7 0.6×		19 2.7×	9 1.3×	1 0.3×	6	40
Gregory E. Allen	3 0.3×	10 1.1×	1 0.1×	2 0.3×		8	43
A. Zabrodsky	18 1.5×		4 0.6×	5 0.7×		16	219
Cristina González	16 1.3×		11 1.6×		2 0.5×	9	43
Jeff Smith	13 1.1×	12 1.3×	15 2.1×			7	257
Anna Seigal	13 1.1×		3 0.4×	4 0.6×		10	34
Henri Lebesgue	13 1.1×			6 0.9×	7 1.8×	7	44
Helge Hecht	6 0.5×		12 1.7×			11	27

Countries citing papers authored by Junyuan Lin

Since Specialization

Citations

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

Fields of papers citing papers by Junyuan Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junyuan Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Junyuan Lin. A scholar is included among the top collaborators of Junyuan 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 Junyuan Lin. Junyuan 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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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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