Hengfa Lu
Impact in
- Computational Mathematics top 10%
- Tensor decomposition and applications
- Spectroscopy top 5%
- Advanced NMR Techniques and Applications
Papers in
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- Advanced MRI Techniques and Applications 7
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- Advanced NMR Techniques and Applications 3
- Co-authors
- Xiaobo Qu (10 shared papers)Di Guo (10 shared papers)Zhong Chen (6 shared papers)Tianyu Qiu (4 shared papers)Vladislav Orekhov (2 shared papers)Tatiana Agback (1 shared paper)Yihui Huang (1 shared paper)Jiaxi Ying (3 shared papers)
- Journals
- Magnetic Resonance in Medicine (1 paper)IEEE Access (1 paper)Magnetic Resonance (1 paper)IEEE Transactions on Biomedical Engineering (1 paper)Chemical Communications (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Hengfa Lu
14 papers receiving 452 citations
Peers
Comparison fields: 5 of 29
- Computational Mathematics 13
- Spectroscopy 95
- Radiology, Nuclear Medicine and Imaging 141
- Computational Mechanics 42
- Analytical Chemistry 9
Countries citing papers authored by Hengfa Lu
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
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 21 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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 179 | |
| 2 | 2017 | 90 | |
| 3 | 2021 | 40 | |
| 4 | 2017 | 34 | |
| 5 | 2022 | 34 | |
| 6 | 2017 | 27 | |
| 7 | 2017 | 22 | |
| 8 | 2022 | 18 | |
| 9 | 2021 | 17 | |
| 10 | 2018 | 10 | |
| 11 | 2022 | 4 | |
| 12 | 2017 | 2 | |
| 13 | 2023 | 2 | |
| 14 | A Convergence Proof of Projected Fast Iterative Soft-thresholding Algorithm for Parallel Magnetic Resonance Imaging. | 2019 | 1 |
| 15 | 2024 | 0 |
About Hengfa Lu
Hengfa Lu is a scholar working on Radiology, Nuclear Medicine and Imaging, Spectroscopy, Computational Mathematics, Computational Mechanics and Nuclear Energy and Engineering, having authored 15 papers that have together received 480 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (7 papers), Advanced NMR Techniques and Applications (3 papers), Sparse and Compressive Sensing Techniques (2 papers) and Tensor decomposition and applications (1 paper). The work is most often cited by research in Computational Mathematics (13 citations), Spectroscopy (95 citations), Radiology, Nuclear Medicine and Imaging (141 citations), Computational Mechanics (42 citations) and Analytical Chemistry (9 citations). Hengfa Lu has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Xiaobo Qu, Di Guo, Zhong Chen, Tianyu Qiu, Vladislav Orekhov, Tatiana Agback, Yihui Huang, Jiaxi Ying, Xinlin Zhang and Jian‐Feng Cai. Their work appears in journals such as Magnetic Resonance in Medicine, IEEE Access, Magnetic Resonance, IEEE Transactions on Biomedical Engineering and Chemical Communications.
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.