YingLiang Ma

75 papers receiving 1.1k citations

Peers

YingLiang Ma
Comparison fields: 5 of 113
  • Radiology, Nuclear Medicine and Imaging 389
  • Cardiology and Cardiovascular Medicine 316
  • Computer Vision and Pattern Recognition 265
  • Biomedical Engineering 253
  • Surgery 130
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C. Monserrat Spain
Reza A. Zoroofi Iran
Ole Jakob Elle Norway
Roy Eagleson Canada
George Mylonas United Kingdom
Seung-Hyun Lee South Korea
Bogdan J. Matuszewski United Kingdom
Luis Serra Singapore
Lik‐Kwan Shark United Kingdom
Sunita Chauhan Australia
YingLiang Ma relative to C. Monserrat Spain C. Monserrat's profile →
Citations per field
00.5×12.2×
C. Monserrat · 1×
Citations per year

Countries citing papers authored by YingLiang Ma

Since Specialization
Citations

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

Fields of papers citing papers by YingLiang Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of YingLiang Ma

This figure shows the co-authorship network connecting the top 25 collaborators of YingLiang Ma. A scholar is included among the top collaborators of YingLiang Ma 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 YingLiang Ma. YingLiang Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 9
2 0
3 0
4 4
5 3
6 2
7 3
8 15
9 5
10 12
11 26
12 16
13 73
14 25
15
MRI to X-ray fluoroscopy overlay for guidance of cardiac resynchronization therapy procedures
2
16 28
17 19
18 7
19 123
20
Toward A Biologically-Inspired Representation of Human Affect
1

About YingLiang Ma

YingLiang Ma is a scholar working on Computer Graphics and Computer-Aided Design, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 79 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (23 papers), Medical Image Segmentation Techniques (15 papers) and Medical Imaging Techniques and Applications (14 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (389 citations), Computer Graphics and Computer-Aided Design (52 citations) and Cardiology and Cardiovascular Medicine (316 citations). YingLiang Ma has collaborated with scholars based in United Kingdom, China and France. Frequent co-authors include Kawal Rhode, W.T. Hewitt, Reza Razavi, Frank Pollick, Christopher A. Rinaldi, Helena Paterson, Andrew P. King, Graeme Penney, R. James Housden and Gang Gao. Their work appears in journals such as Scientific Reports, IEEE Access and IEEE Transactions on Biomedical Engineering.

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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