Hengfa Lu

579 citations
15 papers · 403 indexed · h-index 10

Impact in

Papers in

Hengfa Lu

14 papers receiving 397 citations

Peers

Hengfa Lu
Comparison fields: 5 of 53
  • Computational Mathematics 20
  • Radiology, Nuclear Medicine and Imaging 230
  • Nuclear and High Energy Physics 121
  • Computational Mechanics 130
  • Biophysics 33
Replace Tomas Sundin with:
Tomas Sundin Sweden
Tianyu Qiu China
A. Zelinski United States
Yujiao Zhao China
G. McGibney Canada
Mohammad Golbabaee United Kingdom
Yi Ming Zou United States
Curtis Volin United States
François Orieux France
Manfred Liebmann Austria
Hengfa Lu relative to Tomas Sundin Sweden Tomas Sundin's profile →
Citations per field
00.5×10×20×28×
Tomas Sundin · 1×
Citations per year

Countries citing papers authored by Hengfa Lu

Since Specialization
Citations

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

Fields of papers citing papers by Hengfa Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Hengfa Lu, 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 Hengfa Lu Line = papers co-authored together Hengfa Lu links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2019116
2 201780
3 201938
4 202132
5 201730
6 202226
7 201726
8 201722
9 202215
10 20189
11 20224
12 20232
13 20172
14
A Convergence Proof of Projected Fast Iterative Soft-thresholding Algorithm for Parallel Magnetic Resonance Imaging.
20191
15 20240

About Hengfa Lu

Hengfa Lu is a scholar working on Radiology, Nuclear Medicine and Imaging, Computational Mechanics, Nuclear and High Energy Physics, Signal Processing and Biophysics, having authored 15 papers that have together received 403 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (13 papers), Sparse and Compressive Sensing Techniques (10 papers), Medical Imaging Techniques and Applications (5 papers), NMR spectroscopy and applications (4 papers), MRI in cancer diagnosis (2 papers), Blind Source Separation Techniques (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper) and Characterization and Applications of Magnetic Nanoparticles (1 paper). The work is most often cited by research in Computational Mathematics (20 citations), Radiology, Nuclear Medicine and Imaging (230 citations), Nuclear and High Energy Physics (121 citations), Computational Mechanics (130 citations) and Biophysics (33 citations). Hengfa Lu has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Di Guo, Xiaobo Qu, Zhong Chen, Tianyu Qiu, Vladislav Orekhov, Yihui Huang, Tatiana Agback, Jiaxi Ying, Xinlin Zhang and Jihui Wu. Their work appears in journals such as IEEE Transactions on Medical Imaging, IEEE Transactions on Biomedical Engineering, Chemical Communications, Magnetic Resonance in Medicine and Magnetic Resonance Imaging.

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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