Peng Lai

2.3k citations
29 papers · 1.5k indexed · 1 hit paper · h-index 12

Impact in

Papers in

Peng Lai

28 papers receiving 1.5k citations

Hit Papers

ESPIRiT—an eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA 2013 · 921 citations
9212013202620172021250500750

Peers

Peng Lai
Comparison fields: 5 of 69
  • Radiology, Nuclear Medicine and Imaging 1.5k
  • Atomic and Molecular Physics, and Optics 395
  • Computational Mechanics 209
  • Computational Mathematics 5
  • Spectroscopy 118
Replace Jeffrey Tsao with:
Jeffrey Tsao Switzerland
John I. Jackson United States
Mariya Doneva Germany
Patrick Virtue United States
Peter Speier Germany
Gastão Cruz United Kingdom
Julia Velikina United States
Jesse Hamilton United States
Kay Nehrke Germany
Aurélien Bustin France
Peng Lai relative to Jeffrey Tsao Switzerland Jeffrey Tsao's profile →
Citations per field
00.5×8.7×
Jeffrey Tsao · 1×
Citations per year

Countries citing papers authored by Peng Lai

Since Specialization
Citations

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

Fields of papers citing papers by Peng Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peng Lai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peng Lai Line = papers co-authored together Peng Lai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202146
3 20213
4 20202
5
Accelerating cardiac cine MRI beyond compressed sensing using DL-ESPIRiT.
20191
6 20161
7 201614
8 201516
9 20159
10 201196
11 20115
12 20104
13 20109
14 201013
15 20097
16 200946
17 20093
18 200815
19 200843
20 200843

About Peng Lai

Peng Lai is a scholar working on Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics, Cardiology and Cardiovascular Medicine, Biotechnology and Genetics, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (26 papers), Cardiac Imaging and Diagnostics (16 papers), Atomic and Subatomic Physics Research (14 papers), Medical Imaging Techniques and Applications (7 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Cardiovascular Function and Risk Factors (3 papers), Congenital Heart Disease Studies (2 papers) and Electrical and Bioimpedance Tomography (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.5k citations), Atomic and Molecular Physics, and Optics (395 citations), Computational Mechanics (209 citations), Computational Mathematics (5 citations) and Spectroscopy (118 citations). Peng Lai has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Shreyas Vasanawala, Michael Lustig, Martin Uecker, John M. Pauly, Michael Elad, Patrick Virtue, Mark Murphy, Debiao Li, Jonathan I. Tamir and Marcus T. Alley. Their work appears in journals such as Magnetic Resonance in Medicine, Journal of Magnetic Resonance Imaging, Magnetic Resonance Imaging, Journal of Cardiovascular Magnetic Resonance and Radiology.

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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