Peiyun Lu

24 total papers · 479 total citations
14 papers, 397 citations indexed

About

Peiyun Lu is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Peiyun Lu has authored 14 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Biomedical Engineering and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Peiyun Lu's work include Advanced X-ray and CT Imaging (7 papers), Radiation Dose and Imaging (6 papers) and Medical Imaging Techniques and Applications (3 papers). Peiyun Lu is often cited by papers focused on Advanced X-ray and CT Imaging (7 papers), Radiation Dose and Imaging (6 papers) and Medical Imaging Techniques and Applications (3 papers). Peiyun Lu collaborates with scholars based in United States, China and Netherlands. Peiyun Lu's co-authors include Catherine M. Crespi, Annette E. Maxwell, Chris H. Cagnon, John J. DeMarco, Michael F. McNitt‐Gray, Jonathan Goldin, Hyun J. Kim, Matthew S. Brown, Han Jo Kim and Kyle McMillan and has published in prestigious journals such as Medical Physics, European Radiology and BMC Cancer.

In The Last Decade

Peiyun Lu

13 papers receiving 383 citations

Author Peers

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

Author						Papers	Cites
Peiyun Lu	203	156	121	89	41	14	397
Niki Oveisi	79 0.4×	189 1.2×	67 0.6×	71 0.8×	27 0.7×	15	407
Jean Courquin	130 0.6×	54 0.3×	17 0.1×	88 1.0×	14 0.3×	9	371
Andrew C. Tsen	285 1.4×	25 0.2×	14 0.1×	156 1.8×	25 0.6×	9	390
Suzanne S. S. Mak	47 0.2×	71 0.5×	19 0.2×	209 2.3×	54 1.3×	16	409
Pam Brown	154 0.8×	70 0.4×	25 0.2×	42 0.5×	48 1.2×	18	400
L. Magee	247 1.2×	43 0.3×	8 0.1×	134 1.5×	27 0.7×	11	390
Megan K. Baker	69 0.3×	14 0.1×	41 0.3×	125 1.4×	15 0.4×	18	385
Neige Journy	62 0.3×	311 2.0×	97 0.8×	18 0.2×	19 0.5×	13	373
L.T. Burgers	61 0.3×	79 0.5×	45 0.4×	17 0.2×	11 0.3×	10	334
Stephen L. McKenna	83 0.4×	50 0.3×	14 0.1×	22 0.2×	13 0.3×	16	340

Countries citing papers authored by Peiyun Lu

Since Specialization

Citations

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

Fields of papers citing papers by Peiyun Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peiyun Lu

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