Leyu Shi

23 total papers · 594 total citations
9 papers, 468 citations indexed

About

Leyu Shi is a scholar working on Cellular and Molecular Neuroscience, Artificial Intelligence and Pharmacology. According to data from OpenAlex, Leyu Shi has authored 9 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 4 papers in Artificial Intelligence and 3 papers in Pharmacology. Recurrent topics in Leyu Shi's work include Privacy-Preserving Technologies in Data (4 papers), Cannabis and Cannabinoid Research (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Leyu Shi is often cited by papers focused on Privacy-Preserving Technologies in Data (4 papers), Cannabis and Cannabinoid Research (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Leyu Shi collaborates with scholars based in United States, China and Hong Kong. Leyu Shi's co-authors include Cecilia J. Hillard, W.‐S. Vanessa Ho, Abbas Jarrahian, David J. Rademacher, Chi Ma, Mingtao Li, Yifan Han, Zixu Mao, Ruzhu Chen and Wenming Li and has published in prestigious journals such as Neuropharmacology, IEEE Internet of Things Journal and Hippocampus.

In The Last Decade

Leyu Shi

7 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
Leyu Shi	261	244	101	61	48	9	468
Takeshi Iwazaki	218 0.8×	307 1.3×	154 1.5×	67 1.1×	25 0.5×	9	537
Alessandra Tamburella	249 1.0×	271 1.1×	104 1.0×	74 1.2×	47 1.0×	11	496
Simone Braconi	104 0.4×	273 1.1×	192 1.9×	85 1.4×	65 1.4×	10	473
Taiichiro Imanishi	129 0.5×	207 0.8×	167 1.7×	68 1.1×	18 0.4×	17	421
Nico Wegener	171 0.7×	280 1.1×	115 1.1×	74 1.2×	24 0.5×	12	412
Matthew J. Pava	209 0.8×	269 1.1×	92 0.9×	147 2.4×	89 1.9×	11	479
Silvia Zoppi	265 1.0×	174 0.7×	77 0.8×	65 1.1×	35 0.7×	13	451
Lígia Mendes Soares	190 0.7×	114 0.5×	109 1.1×	70 1.1×	17 0.4×	13	441
David M. Otte	170 0.7×	189 0.8×	192 1.9×	64 1.0×	20 0.4×	16	492
Ros R. Brett	190 0.7×	266 1.1×	77 0.8×	111 1.8×	40 0.8×	14	425

Countries citing papers authored by Leyu Shi

Since Specialization

Citations

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

Fields of papers citing papers by Leyu Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leyu Shi

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