Sen Ma

642 citations
45 papers · 464 · h-index 11

Impact in

Papers in

Sen Ma

41 papers receiving 453 citations

Peers

Sen Ma
Comparison fields: 5 of 70
  • Radiology, Nuclear Medicine and Imaging 224
  • Computational Mathematics 2
  • Computer Vision and Pattern Recognition 62
  • Safety, Risk, Reliability and Quality 18
  • Computational Mechanics 33
Replace Fanyong Meng with:
Fanyong Meng China
Zhongxing Zhou China
Doaa Youssef Egypt
David Brunner Austria
Tobias Würfl Germany
Hui Zhong China
Tim Dahmen Germany
Yudan Wang China
Shaoyu Wang China
Darren A. Thompson Australia
Sen Ma relative to Fanyong Meng China Fanyong Meng's profile →
Citations per field
00.5×2×3×3.6×
Fanyong Meng · 1×
Citations per year

Countries citing papers authored by Sen Ma

Since Specialization
Citations

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

Fields of papers citing papers by Sen Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sen Ma, 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 Sen Ma Line = papers co-authored together Sen Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017111
2 201951
3 202030
4 202130
5 202128
6 202026
7 202221
8 202115
9 201714
10 202114
11 202112
12 202411
13 202210
14 202310
15 20219
16 20218
17 20217
18 20166
19 20236
20 20025

About Sen Ma

Sen Ma is a scholar working on Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality, Control and Systems Engineering and Otorhinolaryngology, having authored 45 papers that have together received 464 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (11 papers), Advanced Fiber Optic Sensors (9 papers), Advanced Measurement and Metrology Techniques (6 papers), Photonic and Optical Devices (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Traffic and Road Safety (4 papers), MRI in cancer diagnosis (4 papers) and Advanced NMR Techniques and Applications (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (224 citations), Computational Mathematics (2 citations), Computer Vision and Pattern Recognition (62 citations), Safety, Risk, Reliability and Quality (18 citations) and Computational Mechanics (33 citations). Sen Ma has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Fang Xie, Lianlian Dong, Anthony Christodoulou, Debiao Li, Yunzhi Wang, Nan Wang, Yibin Xie, Zhaoyang Fan, Fei Han and Christopher T Nguyen. Their work appears in journals such as Magnetic Resonance in Medicine, Applied Sciences, Optics and Lasers in Engineering, Annals of Oncology and Measurement.

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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