Gaiying Li

43 total papers · 504 total citations
21 papers, 374 citations indexed

About

Gaiying Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Nutrition and Dietetics and Cognitive Neuroscience. According to data from OpenAlex, Gaiying Li has authored 21 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Nutrition and Dietetics and 5 papers in Cognitive Neuroscience. Recurrent topics in Gaiying Li's work include Advanced MRI Techniques and Applications (6 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and Trace Elements in Health (5 papers). Gaiying Li is often cited by papers focused on Advanced MRI Techniques and Applications (6 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and Trace Elements in Health (5 papers). Gaiying Li collaborates with scholars based in China, United States and Hong Kong. Gaiying Li's co-authors include Jianqi Li, Yongchao Jiang, Keyong Tang, Kelly M. Gillen, Hedi An, Mengya Li, Qian Li, Wenjie Zhang, Yi Wang and Jie Yang and has published in prestigious journals such as NeuroImage, Schizophrenia Bulletin and Movement Disorders.

In The Last Decade

Gaiying Li

17 papers receiving 371 citations

Author Peers

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

Author Last Decade Papers Cites
Gaiying Li 106 99 53 52 43 21 374
Yue Hu 38 0.4× 34 0.3× 107 2.0× 12 0.2× 51 1.2× 36 399
Ziyuan Chen 76 0.7× 15 0.2× 65 1.2× 9 0.2× 40 0.9× 27 383
Ke Shi 21 0.2× 14 0.1× 156 2.9× 21 0.4× 18 0.4× 29 341
Yi-Hua Hsu 81 0.8× 42 0.4× 90 1.7× 6 0.1× 63 1.5× 18 360
Michael McHugh 61 0.6× 17 0.2× 112 2.1× 21 0.4× 39 0.9× 11 396
Joseph C. White 12 0.1× 10 0.1× 36 0.7× 21 0.4× 47 1.1× 19 352
Camila Guimarães Moreira 47 0.4× 13 0.1× 38 0.7× 19 0.4× 11 0.3× 12 341
Pericles Calias 49 0.5× 46 0.5× 88 1.7× 5 0.1× 32 0.7× 13 384
Wenhua Fang 88 0.8× 11 0.1× 124 2.3× 11 0.2× 26 0.6× 38 436
Aurélien Lathuilière 42 0.4× 26 0.3× 150 2.8× 9 0.2× 22 0.5× 31 427

Countries citing papers authored by Gaiying Li

Since Specialization
Citations

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

Fields of papers citing papers by Gaiying Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaiying Li

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