Erpeng Dai

446 total citations
25 papers, 276 citations indexed

About

Erpeng Dai is a scholar working on Radiology, Nuclear Medicine and Imaging, Nuclear and High Energy Physics and Molecular Biology. According to data from OpenAlex, Erpeng Dai has authored 25 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Nuclear and High Energy Physics and 2 papers in Molecular Biology. Recurrent topics in Erpeng Dai's work include Advanced MRI Techniques and Applications (21 papers), Advanced Neuroimaging Techniques and Applications (20 papers) and MRI in cancer diagnosis (11 papers). Erpeng Dai is often cited by papers focused on Advanced MRI Techniques and Applications (21 papers), Advanced Neuroimaging Techniques and Applications (20 papers) and MRI in cancer diagnosis (11 papers). Erpeng Dai collaborates with scholars based in China, United States and Sweden. Erpeng Dai's co-authors include Hua Guo, Zhe Zhang, Xiaodong Ma, Chun Yuan, Zijing Dong, Fuyixue Wang, Jennifer A. McNab, Merry Mani, Yishi Wang and Bin Xie and has published in prestigious journals such as NeuroImage, Magnetic Resonance in Medicine and Human Brain Mapping.

In The Last Decade

Erpeng Dai

24 papers receiving 263 citations

Peers

Erpeng Dai

RNMI

AMPO

NHEP

PPCH

Kévin Moulin United States

Tim Sprenger Sweden

Haris Saybasili United States

Jonas Lynge Olesen Denmark

Paul T. Weavers United States

Marcus A. Spiegel Switzerland

Brian Keating United States

Pedro A. Gómez Germany

Jason Craft United States

K. Appu Danishad India

Kévin Moulin United States

Erpeng Dai

270 ×1.1

RNMI

6 ×0.3

AMPO

18 ×1.1

NHEP

16 ×1.3

PPCH

4 ×0.3

Citations per year, relative to Erpeng Dai Erpeng Dai (= 1×) peers Kévin Moulin

Countries citing papers authored by Erpeng Dai

Since Specialization

Citations

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

Fields of papers citing papers by Erpeng Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erpeng Dai

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

All Works

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20 of 20 papers shown

Dai, Erpeng, et al.. (2024). Elucidating Microstructural Alterations in Neurodevelopmental Disorders: Application of Advanced Diffusion‐Weighted Imaging in Children With Rasopathies. Human Brain Mapping. 45(17). e70087–e70087. 1 indexed citations

Dai, Erpeng, et al.. (2024). Impact of pathogenic variants of the Ras–mitogen-activated protein kinase pathway on major white matter tracts in the human brain. Brain Communications. 6(4). fcae274–fcae274. 3 indexed citations

Cao, Xiaozhi, Congyu Liao, Zihan Zhou, et al.. (2023). DTI‐MR fingerprinting for rapid high‐resolution whole‐brain T₁, T₂, proton density, ADC, and fractional anisotropy mapping. Magnetic Resonance in Medicine. 91(3). 987–1001. 11 indexed citations

Cao, Xiaozhi, Congyu Liao, Erpeng Dai, et al.. (2023). 3D Diffusion-prepared MRF (3DM) with cardiac gating for rapid high resolution whole-brain T1, T2, proton density and diffusivity mapping. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 1 indexed citations

Dai, Erpeng, Grant Yang, Ek T. Tan, et al.. (2023). Frequency-dependent diffusion kurtosis imaging in the human brain using an oscillating gradient spin echo sequence and a high-performance head-only gradient. NeuroImage. 279. 120328–120328. 12 indexed citations

Ma, Xiaodong, Erpeng Dai, Edward J. Auerbach, et al.. (2023). Reconstruction for 7T high‐resolution whole‐brain diffusion MRI using two‐stage N/2 ghost correction and L1‐SPIRiT without single‐band reference. Magnetic Resonance in Medicine. 89(5). 1915–1930. 2 indexed citations

Cao, Xiaozhi, Congyu Liao, Siddharth Iyer, et al.. (2022). Optimized multi‐axis spiral projection MR fingerprinting with subspace reconstruction for rapid whole‐brain high‐isotropic‐resolution quantitative imaging. Magnetic Resonance in Medicine. 88(1). 133–150. 23 indexed citations

Guo, Rui, Zhensen Chen, Erpeng Dai, et al.. (2022). SAturation‐recovery and Variable‐flip‐Angle–based three‐dimensional free‐breathing cardiovascular magnetic resonance T₁ mapping at 3 T. NMR in Biomedicine. 35(9). e4755–e4755. 6 indexed citations

Dai, Erpeng, Merry Mani, & Jennifer A. McNab. (2022). Multi‐band multi‐shot diffusion MRI reconstruction with joint usage of structured low‐rank constraints and explicit phase mapping. Magnetic Resonance in Medicine. 89(1). 95–111. 9 indexed citations

10.

Dai, Erpeng, et al.. (2021). High-resolution whole-brain diffusion MRI at 3T using simultaneous multi-slab (SMSlab) acquisition. NeuroImage. 237. 118099–118099. 14 indexed citations

11.

Zhang, Jieying, Simin Liu, Erpeng Dai, et al.. (2021). Slab boundary artifact correction in multislab imaging using convolutional‐neural‐network–enabled inversion for slab profile encoding. Magnetic Resonance in Medicine. 87(3). 1546–1560. 3 indexed citations

12.

Li, Guangqi, et al.. (2019). Distortion correction for high‐resolution single‐shot EPI DTI using a modified field‐mapping method. NMR in Biomedicine. 32(9). e4124–e4124. 8 indexed citations

13.

Guo, Li, Feng Huang, Yingjie Mei, et al.. (2018). eIRIS: Eigen-analysis approach for improved spine multi-shot diffusion MRI. Magnetic Resonance Imaging. 50. 134–140. 2 indexed citations

14.

Dai, Erpeng, Zhe Zhang, Xiaodong Ma, et al.. (2018). The effects of navigator distortion and noise level on interleaved EPI DWI reconstruction: a comparison between image‐ and k‐space‐based method. Magnetic Resonance in Medicine. 80(5). 2024–2032. 13 indexed citations

15.

Dong, Zijing, Erpeng Dai, Fuyixue Wang, et al.. (2018). Model‐based reconstruction for simultaneous multislice and parallel imaging accelerated multishot diffusion tensor imaging. Medical Physics. 45(7). 3196–3204. 17 indexed citations

16.

Wang, Yishi, Xiaodong Ma, Zhe Zhang, et al.. (2017). A comparison of readout segmented EPI and interleaved EPI in high-resolution diffusion weighted imaging. Magnetic Resonance Imaging. 47. 39–47. 17 indexed citations

17.

Dai, Erpeng, Li Dong, Zhe Zhang, et al.. (2017). Technical Note: Measurement of common carotid artery lumen dynamics using black‐blood MR cine imaging. Medical Physics. 44(3). 1105–1112.

18.

Dong, Zijing, Fuyixue Wang, Xiaodong Ma, et al.. (2017). Motion‐corrected k‐space reconstruction for interleaved EPI diffusion imaging. Magnetic Resonance in Medicine. 79(4). 1992–2002. 19 indexed citations

19.

Dai, Erpeng, Xiaodong Ma, Zhe Zhang, Chun Yuan, & Hua Guo. (2016). Simultaneous multislice accelerated interleaved EPI DWI using generalized blipped-CAIPI acquisition and 3D K-space reconstruction. Magnetic Resonance in Medicine. 77(4). 1593–1605. 39 indexed citations

20.

Ma, Xiaodong, Zhe Zhang, Erpeng Dai, & Hua Guo. (2016). Improved multi-shot diffusion imaging using GRAPPA with a compact kernel. NeuroImage. 138. 88–99. 33 indexed citations

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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