Linmin Pei

30 total papers · 2.0k total citations
11 papers, 295 citations indexed

About

Linmin Pei is a scholar working on Neurology, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Linmin Pei has authored 11 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Neurology, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Linmin Pei's work include Brain Tumor Detection and Classification (9 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Medical Image Segmentation Techniques (5 papers). Linmin Pei is often cited by papers focused on Brain Tumor Detection and Classification (9 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Medical Image Segmentation Techniques (5 papers). Linmin Pei collaborates with scholars based in United States, Taiwan and China. Linmin Pei's co-authors include Khan M. Iftekharuddin, Lasitha Vidyaratne, Syed M. S. Reza, Christos Davatzikos, James Y. Chen, Karra A. Jones, Spyridon Bakas, Arastoo Vossough, Mahbubul Alam and Rivka R. Colen and has published in prestigious journals such as Scientific Reports, Frontiers in Neuroscience and Frontiers in Oncology.

In The Last Decade

Linmin Pei

10 papers receiving 287 citations

Author Peers

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

Author						Papers	Cites
Linmin Pei	178	145	134	97	49	11	295
B. Kiran Madhusudhan	190 1.1×	113 0.8×	136 1.0×	92 0.9×	22 0.4×	5	319
Gowtham Krishnan Murugesan	97 0.5×	171 1.2×	67 0.5×	40 0.4×	89 1.8×	18	299
Chandan Ganesh Bangalore Yogananda	100 0.6×	148 1.0×	68 0.5×	36 0.4×	98 2.0×	9	215
Rachida Saouli	232 1.3×	107 0.7×	228 1.7×	84 0.9×	12 0.2×	12	337
Yeqi Bai	78 0.4×	102 0.7×	112 0.8×	131 1.4×	10 0.2×	6	319
Jason Cheng	120 0.7×	131 0.9×	98 0.7×	29 0.3×	45 0.9×	16	283
Urspeter Knecht	102 0.6×	234 1.6×	68 0.5×	36 0.4×	141 2.9×	20	328
Esther Alberts	71 0.4×	160 1.1×	67 0.5×	36 0.4×	103 2.1×	8	294
Changhong Liang	83 0.5×	149 1.0×	88 0.7×	86 0.9×	27 0.6×	25	364
Roelant S. Eijgelaar	71 0.4×	186 1.3×	37 0.3×	29 0.3×	129 2.6×	13	279

Countries citing papers authored by Linmin Pei

Since Specialization

Citations

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

Fields of papers citing papers by Linmin Pei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linmin Pei

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