Guojian Lin

43 total papers · 628 total citations
33 papers, 487 citations indexed

About

Guojian Lin is a scholar working on Computational Mechanics, Public Health, Environmental and Occupational Health and Statistical and Nonlinear Physics. According to data from OpenAlex, Guojian Lin has authored 33 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Mechanics, 7 papers in Public Health, Environmental and Occupational Health and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Guojian Lin's work include Mathematical and Theoretical Epidemiology and Ecology Models (7 papers), Fluid Dynamics Simulations and Interactions (6 papers) and Quantum chaos and dynamical systems (5 papers). Guojian Lin is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (7 papers), Fluid Dynamics Simulations and Interactions (6 papers) and Quantum chaos and dynamical systems (5 papers). Guojian Lin collaborates with scholars based in China, United States and Sweden. Guojian Lin's co-authors include Balakumar Balachandran, Alexandre M. Tartakovsky, Eyad H. Abed, Mingji Zhang, Xiaohong Long, Yiguang Hong, Rong Yuan, Yingfei Yi, Weishi Liu and George Em Karniadakis and has published in prestigious journals such as IEEE Transactions on Automatic Control, Computer Methods in Applied Mechanics and Engineering and Sensors.

In The Last Decade

Guojian Lin

30 papers receiving 463 citations

Author Peers

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

Author						Papers	Cites
Guojian Lin	106	97	95	93	90	33	487
John R. Singler	230 2.2×	155 1.6×	85 0.9×	273 2.9×	45 0.5×	64	529
Matthew Harker	85 0.8×	47 0.5×	44 0.5×	25 0.3×	19 0.2×	68	452
Lawrence D. Zavodney	47 0.4×	250 2.6×	32 0.3×	117 1.3×	63 0.7×	16	495
Wagner F. Sacco	47 0.4×	85 0.9×	92 1.0×	13 0.1×	32 0.4×	39	509
Domenico Borzacchiello	112 1.1×	65 0.7×	31 0.3×	197 2.1×	98 1.1×	30	474
Chenxi Wu	118 1.1×	84 0.9×	110 1.2×	246 2.6×	60 0.7×	26	544
Lei Hu	104 1.0×	163 1.7×	54 0.6×	64 0.7×	62 0.7×	57	421
Yan Yong	41 0.4×	95 1.0×	29 0.3×	79 0.8×	70 0.8×	45	522
Radoslav Nabergoj	125 1.2×	121 1.2×	33 0.3×	64 0.7×	47 0.5×	62	478
Xinshuai Zhang	182 1.7×	35 0.4×	147 1.5×	125 1.3×	37 0.4×	24	484

Countries citing papers authored by Guojian Lin

Since Specialization

Citations

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

Fields of papers citing papers by Guojian Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guojian Lin

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