Dong Liang

9.3k citations
340 papers · 6.4k · 1 hit paper · h-index 41

Impact in

Papers in

Dong Liang

312 papers receiving 6.3k citations

Dong Liang's Hit Papers

Accelerating magnetic resonance imaging via deep learning 2016 · 544 citations
5440+3+6Years since publication100200300400500

Peers

Dong Liang
Comparison fields: 5 of 168
  • Radiology, Nuclear Medicine and Imaging 3.3k
  • Computational Mathematics 53
  • Computer Vision and Pattern Recognition 1.1k
  • Computational Mechanics 994
  • Biomedical Engineering 1.7k
Replace Qian Wang with:
Qian Wang China
Baowei Fei United States
Xin Liu China
Yen‐Wei Chen Japan
Wufan Chen China
Guorong Wu United States
Lucas J. van Vliet Netherlands
Marc Niethammer United States
Hervé Delingette France
Stefan Klein Netherlands
Dong Liang relative to Qian Wang China Qian Wang's profile →
Citations per field
00.5×4.4×
Qian Wang · 1×
Citations per year

Countries citing papers authored by Dong Liang

Since Specialization
Citations

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

Fields of papers citing papers by Dong Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 340 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Accelerating magnetic resonance imaging via deep learning
Hit paper breakdown →
2016544
2 2009357
3 2020236
4 2017233
5 2020160
6 2009135
7 2017108
8 2008107
9 201292
10 201991
11 201389
12 201083
13 201781
14 201980
15 201080
16 201174
17 202070
18 201169
19 201867
20 202066

About Dong Liang

Dong Liang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biomedical Engineering, Computational Mechanics and Electrical and Electronic Engineering, having authored 340 papers that have together received 6.4k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (119 papers), Medical Imaging Techniques and Applications (106 papers), Sparse and Compressive Sensing Techniques (65 papers), Advanced X-ray and CT Imaging (30 papers), Image and Signal Denoising Methods (24 papers), Photoacoustic and Ultrasonic Imaging (24 papers), Advanced Neuroimaging Techniques and Applications (20 papers) and Medical Image Segmentation Techniques (17 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (3.3k citations), Computational Mathematics (53 citations), Computer Vision and Pattern Recognition (1.1k citations), Computational Mechanics (994 citations) and Biomedical Engineering (1.7k citations). Dong Liang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Leslie Ying, Hairong Zheng, Shanshan Wang, Ziwen Ke, Xin Liu, Xi Peng, Qiegen Liu, Zhanli Hu, Bo Liu and Jiun‐Jie Wang. Their work appears in journals such as IEEE Transactions on Medical Imaging, Magnetic Resonance in Medicine, Medical Physics, Journal of X-Ray Science and Technology and IEEE Journal of Biomedical and Health Informatics.

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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